Research Article
Open Access
Structural And Functional Annotation Of Rv1514c
Gene Of Mycobacterium tuberculosis H37Rv As
Glycosyl Transferases
Amjad Beg1, 2, Shivangi2, Fareeda Athar1 and Laxman S Meena2*
1Centre for Interdisciplinary Research in Basic Science, Jamia Millia Islamia, Jamia Nagar, New Delhi-110025, INDIA
2CSIR-Institute of Genomics and Integrative Biology, Mall Road, Delhi-110007, INDIA
*Corresponding author: Laxman S Meena, CSIR-Institute of Genomics and Integrative Biology, Mall Road, Delhi-110007, INDIA; Telephone
no: 0091-11-27002200; Fax No: 0091-11-27667471; E-mail:
@
Received: October 16, 2018; Accepted: October 31, 2018; Published: December 20, 2018
Citation: Meena LS, Amjad B, Shivangi, Fareeda A (2018) Structural And Functional Annotation Of Rv1514c Gene Of
Mycobacterium tuberculosis H
37Rv As Glycosyl Transferases. J Adv Res Biotech 3(2):1-9. DOI:
http://dx.doi.org/10.15226/2475-4714/3/2/00139
Abstract
We need an emergent cure against tuberculosis after seeing its
capability of scattering all around the world. The causative pathogen
Mycobacterium tuberculosis (M. tuberculosis) persistently gets
accomplishment in spreading the repulsiveness of overall expanding
death rate; thusly create an emergent requirement for curing people
to interact with this pathogen. There might be numerous points of
view of this bacterium to take a shot for focusing on the imperative
components for its development and survival, one of those systems is
recorded in the article underneath. Glycosylation is the universal and
one of the most important phenomenon’s for modification. This gene
is a suitable one for studying exact functioning of glycosyl transferases
enzymes as these are the non essential ones and require for growth
of this bacterium. The target of the manuscript is to accentuate the
In silico highlights of the Rv1514c gene of M. tuberculosis which prove
being an essential role like transferases activity, transferring glycosyl
group’s action. For the study of Rv1514c gene, it comprises 789 bp
long which codes for nearly approx 29kDa protein. In String database
server for functional partner prediction demonstrates it interact with
an fcl (EpiA), Rv1508A, gmdA, Rv1516c, Rv3264c, Rv1515c, Rv3032,
Pima, Rv2188c and glgA. Rv1514c modelled by using I-TASSER
server and for model evaluation we using ProSA, Rampage, Verify
3D and ERRAT which outcome score are satisfactory. In Rv1514c
binding sites prediction done by COACH which confirmed this gene
might be bounded with UDP (Uridine-Diphosphate) and it could be
a Transferases activity protein which possibly, transferring glycosyl
groups action. Assist exploratory investigations of this gene might be
valuable in giving physiological and biological vitality as a remedial.
Keywords: Mycobacterium tuberculosis; Rv1514c; Glycosylation;
Macrophages; Transferases
Abbreviations
Tuberculosis (TB); Mycobacterium tuberculosis (M.
tuberculosis); alveolar macrophages (AMs); Multidrug-Resistant
TB (MDR-TB); Extremely Drug Resistant TB (XDR-TB); Protein
Data Bank (PDB); Iterative Threading ASSEmbly Refinement
(I-TASSER); Local Meta threading server (LOMETS); Protein
Structure Analysis (ProSA); RAMPAGE (Ramachandran Plot
Analysis); Protein Quality Analysis (ProQ); Gene Ontology
Annotation (GOA)
Introduction
A standout amongst the most pulverization malady since the
eighteenth century is ‘Tuberculosis’ which was first identified
and analyzed by Robert Koch (1843-1910). This researcher and
his associates were discovered an unambiguous staining method
for the identification of the causative agent of this dangerous
malady which is Mycobacterium tuberculosis (M. tuberculosis).
This staining strategy depended on the mix of methylene blue
color pursued by counterstaining with vesuvin (dark colored
dye); this darker color dye distinguishes M. tuberculosis not only
in culture but also in the tissues [1]. The strategy attained so far
for identifying and diagnosing this pathogen are not working
nowadays, one like BCG vaccination, which was one of the best
drug of that time to cure this malady completely, but now its fails
due to frequent mutations in the genome of this pathogen and
this mechanism provoke easy escape from the immune system
of host cell [2-4]. At the beginning form the eighteenth century,
the researcher had been endeavoring to outline the medication
that can give hundred percent treatment from this infection but
yet unsuccessful due to non-consistent nature of this bacterium
[5]. The unstable environment of this bacterium provides
the capability to this bacterium to escape effectively from the
immunological obstructions of the human body (innate immune
system) [6-8]. The most distinctive antigen presenting cells
known as dendritic cells renowned for their role in the killing of
the parasitic intracellular or extracellular bacterium, however
for the situation particularly of M. tuberculosis, these cells flop
in their obligation. M. tuberculosis takes another approach to
get away from the killing system of invulnerability yet precisely
how [9-10]. M. tuberculosis bacterium after the entering into an
individual person through the nasal track it fixes itself in the host
alveolar macrophages where it can continue for a more extended
timeframe with no deterrent from host-specific insusceptible cells
[11-12]. M. tuberculosis alters itself to remain in the macrophage
by achieving some exceptional highlights like the adjustment in
its cell wall component, communicating qualities that can oppose
acidic condition, actuation of qualities that upgrade the resistance
property of this bacterium and so forth [13].
This manuscript elaborates the significance of Rv1514c of
M. tuberculosis which is predicted to be glycosyl transferases.
Although Glycosylation is a universal, important phenomenon
in prokaryotes and eukaryotes, most of its features are still
unknown and poorly understood [14]. Mainly these proteins
are basically membrane linked, unstable and present in very
low concentration [15-17]. These enzymes help in synthesis of
many cell wall components like peptidoglycan, lipopolysacharide,
glycolipids etc. In case of M. tuberculosis, many drugs had been
synthesized in order to target cell wall components but the exact
mechanism behind this is still unknown [18]. This gene is a
suitable one for studying exact functioning of glycosyl transferases
enzymes as these are the non essential ones and require for
growth of this bacterium. Earlier studies of M. tuberculosis found
many glycosyl transferases genes that play significant roles
in the cellular processes like mshA, gal transferases etc [19].
Therefore understanding this gene may provide us with better
way to understand the mechanism of cell wall synthesis in M.
tuberculosis and its effect on pathogenesis and thus help us to
find a mode towards eradication of this disease [20-22].
Materials and methods
Prediction of the Interacting Functional Partner
Analysis of the protein-protein interaction is important
for the protein significance, because the interacting partner
may be function as like our interest protein. STRING database
web server analyzes the interacting score for the prediction of
functional partner. It predicts that cytoplasmic protein interacts
with some other protein and it works in a web-like manner. In the
STRING database server there are low, medium and high cutoff
score where the score values is for < 0.4; medium: 0.4 to 0.7; high:
>0.7 [23, 24].
Ab initio Protein Modelling of Rv1514c
Ab initio which means (From the beginning) in protein
modelling, for the protein modelling we required FASTA
format sequence which is retrieved from the Mycobrowser
database (https://mycobrowser.epfl.ch/gene/) which has the
comprehensive data of Mycobacterium tuberculosis for genomics
and proteomics studies [25]. The Protein Data Bank (PDB)
structure of the Rv1514c was not found in PDB (http://www.
rcsb.org/pdb/home/home.do), so we have started the analysis of
structure modelling of Rv1514c. For the analysis of secondary
structure of the protein and protein structure property prediction
we are using RaptorX web server [26].
I-TASSER (Iterative Threading ASSEmbly Refinement) server
is an online server for forecast of the structural modelling of the
protein. For the protein demonstrating by I-TASSER (https://
zhanglab.ccmb.med.umich.edu/I-TASSER/) we should have the
FASTA arrangement of the protein sequence [27]. This server
modelled the 3D structure of the protein by following the three
phases though, Local Meta threading server (LOMETS) for
enhancing the model of the optional structure of a protein by
covertly presented it utilizes the alpha-helix, beta-sheet and
loop individually. In I-TASSER server, structure examined by the
C-score, z-score and inclusion of threading arrangement where
the cutoff estimation of the C-score there are - 5 to 2, Z-score >1
and COV (Coverage of the amino acid in modelling) which implies
inclusion of alignment greater than 70%. Evaluation of the, a
TM-score ≤ 0.17 compares to a likeness between two arbitrarily
chose structures from the PDB library; a TM-score > 0.5 relates
roughly to two structures of the comparative topology [28-30].
Evaluation of Rv1514c Protein Model
The evaluation of the structural modeled protein of the
protein is done by Protein Structure Analysis (ProSA) and SAVES
metaserver. The validation of the protein was performed by
the structure analysis and verification server ProSA (https://
prosa.services.came.sbg.ac.at/prosa.php) analysis [31] and
performed to the exactness and dependability of the displayed
structure modeled protein. SAVES (http://nihserver.mbi.ucla.
edu/SAVS/) was utilized to complete the confirmations of the
model with ERRAT and Verify3D. The general characteristics of
the demonstrated structures were assessed utilizing ERRAT [32].
Verify3D was utilized to approve the refined structure. The 3D
structure of the protein was contrasted with its very own aminocorrosive
grouping thinking about a 3D profile ascertained
from the nuclear directions of the structures of right proteins
[33]. The built model was assessed for its spine compliance
utilizing a Ramachandran plot. The stereo chemical nature of the
demonstrated proteins is surveyed from Ramachandran validate
score for favored and unfavored regions [34, 35].
Intrinsic Dynamics Studies of the Rv1514c Model
For the understanding of structural dynamics of proteins is a
primary need for increasing more prominent bits of knowledge
into their biological functions [36]. The modeled protein structure
dynamics analysis on the basic elements were performed by
the WEBnm@ server (http://www.bioinfo.no/instruments/
normalmodes) [37] to figure the slowest modes and related
misshaping energies to compute typical mode investigation
of the proteins adding to the comparing protein development.
Simple mode investigation figures the likely developments of the
proteins and is the strategy for determination for investigating
the slowest movement of decision [38]. The Structural modeled
protein representation visualization was performed by RasMol.
Rv1514c model quality analysis
For the forecast of quality of a protein by ProQ (http://www.
sbc.su.se/˷bjornw/ProQ/ProQ.html) online server had been used
which depends on the neural system constructed apparatus which
is based on the evaluation of the structural characters, there is the
quality of a protein model and it is streamlined to discover revise
models to discover local structures. The quality estimates the LG
score and MaxSub. The cutoff scope of LG score> 1.5 is extremely
great model, > 2.5 great model and > 4 to a great degree great
model and there MaxSub score> 0.1 extremely great model, > 0.5
great model and > 0.8 amazingly great model [39, 40].
Protein Binding Site Prediction of Rv1514c protein
The binding sites forecast depends on the protein arrangement
or likewise done by PDB file (3D structure) in binding sites
prediction is done by the online server. COACH Metaserver
(https://zhanglab.ccmb.med.umich.edu/COACH/) used for the
ligand binding site forecast or ligand pocket prediction. For
the investigation of the ligand binding prediction starts from
the PDB structure or else pick document in PDB format of the
target protein. After that this server will make correlative ligand
restricting site expectation by using the two relative systems:
TM-site and S-site which recognize the presence of the ligandrestricting
site, it sorts out the specific restricting substructure
and profile gathering structure the (BioLiP) database [41].
COACH server parameters are C-score, RMSD, Cov, BS-score Lig
name and anticipated restricting buildup. In COACH server the
C-score is confidence score, RMSD is deposits that are basically
adjusted by TM-adjust, Cov is the coverage of global structural
alignment, BS-score>1 proportion of neighborhood closeness
(sequence & structure) between layout the template binding site
and predicted binding site and the cutoff score BS-score >1 reflect
a significant local match between the predicting and template
binding site and Lig name are the ligand name [42].
Sequence-based functional analysis of Rv1514c protein
The useful investigation of protein is the key factor in its
examination and it will be finished by the COFACTOR online
server (https://zhanglab.ccmb.med.umich.edu/COFACTOR/)
which predicts the function of the protein [43]. COFACTOR is
model based server utilized for protein-protein interrelation and
a natural clarification of protein molecules. Examination of this
protein functioning for threading was done by BioLiP protein
work database. By this database, investigation of the model
structure figures out how to observe the homology and the
functional state of the protein. COFACTOR model-based capacity
expectation estimation was situated as the best methodology for
protein determine protein structure configuration [44].
Results
Prediction of the Interacting Functional Partner
Interacting partner functional prediction analysis has done by
the of STRING database server. The outcome demonstrates that
Rv1514c protein interconnected with 10 number of protein like
fcl (EpiA), Rv1508A, gmdA, Rv1516c, Rv3264c, Rv1515c, Rv3032,
pimA, Rv2188c and glgA [45-51] are appeared in Figure 1.
STRING database server produces the score based on associating
accomplice which demonstrates the cutoff esteem in the middle of
the base communication score (between 0.4 - 0.6) or more score
indicated high interaction. Based on the connecting score, fcl
(EpiA) (Nucleotide-sugar epimerase) protein demonstrates the
high associating score i.e. 0.923 any other predicted functional
partner score are shown in Table 1.
Figure 1: Protein-interacting partners: In Rv1514c protein the interacting
functional partner prediction done by STRING database server result
shows the Rv1514c protein interact with Rv1508A, gmdA, Rv1516c,
Rv3264c, Rv1515c, Rv3032, pimA, Rv2188c and glgA. In this figure the
fcl (EpiA) protein is highly interact to the Rv1514c which score is 0.923
Table 1: Interacting functional partners: This table enlists the interacting
functional partner of Rv1514c protein of M. tuberculosis interconnected
with 10 number of proteins like fcl (EpiA), Rv1508A, gmdA, Rv1516c,
Rv3264c, Rv1515c, Rv3032, pimA, Rv2188c and glgA with that the
cutoff score.
No. |
Functional Partner |
Function |
Score |
Reference |
1 |
fcl (EpiA) |
Nucleotide-sugar epimerase |
0.923 |
[45] |
2 |
Rv1508A |
Hypothetical protein |
0.884 |
[46] |
3 |
gmdA |
GDP-D-mannose dehydratase; |
0.819 |
[45] |
4 |
Rv1516c |
Sugar transferase |
0.785 |
[46] |
5 |
Rv3264c |
D-alpha-D-mannose-1-phosphate guanylyltransferase |
0.738 |
[47] |
6 |
Rv1515c |
Hypothetical protein |
0.738 |
[48] |
7 |
Rv3032 |
Transferase |
0.695 |
[49] |
8 |
pimA |
Alpha-mannosyltransferase |
0.695 |
[50] |
9 |
Rv2188c |
Hypothetical protein |
0.695 |
[51] |
10 |
glgA |
Capsular glucan synthase |
0.695 |
[49] |
Ab initio Protein Modelling of Rv1514c
As we probably know for the protein modelling first we
retrieved the Fasta format protein sequence of the Rv1514c gene
by using the Mycobrowser database which has nucleotide and
protein sequences of the M. tuberculosis species and physicalchemical
properties of the genes. This quality has 789 base
pair long quality and the protein sub-atomic mass ~ 29kDa
protein. This protein appears as a speculative protein and not
studies previously. For the analysis of protein structure property
prediction using RaptorX (http://raptorx.uchicago.edu/) web
server of Rv1514c, there are 33% α-Helix, 18% β-sheet, 48%
Coil region and solvent accessibility 29%Exposed, 35% Medium
and 35% Bury present. I-TASSER is an online server which
modeled the 3D structure of the protein by utilizing amino
corrosive arrangement and this demonstrating is known as ab
initio modeling. It is figured by the threading layout formats
arrangement. The structure of Rv1514c protein quality of
structure modelled relies on the estimation of C-score and RMSD
esteem. The level of the positive district lies over 90% and the
C-score is the certainty score for each model which is from -5
to 2 where the higher conviction demonstrates is controlled by
the higher estimation of C-score. By the I-TASSER demonstrated
organized there is 5 protein models made by the C-score and
situated by gathering measure. The demonstrated protein
structure which chose on the 1st rank premise its PDB hit is 2Z86
(Crystal structure of chondroitin polymerase from Escherichia
coli strain K4 (K4CP) complexed with UDP-GlcUA and UDP). The
template alignment PBD hit 2Z86 is Transferases from organism
Escherichia coli. The demonstrated protein PDB hit template
identity is 17-20 percent and the Normalized z-score is 2.97
which indicate superior alignment and the quantity of adjusted
buildups which appears by (Cov) is 0.85 which implies the 85%
of the coverage of the threading alignment, the model protein
of Rv1514c confidence score is -0.47 the estimated TM-score is
0.65±0.13 and Estimated RMSD = 6.9±4.1Å. Finally, the displayed
structure of the Rv1514c protein is appeared in Figure 2.
Figure 2: Protein modelling: Rv1514c structure modelled by using I-TASSER, the
PDB hit of a template alignment is 2Z86, Normalized z-score is 2.97, Cov
is 0.85.The C-score is -0.47 the estimated TM-score is 0.65±0.13 and the
Estimated RMSD = 6.9±4.1Å. I-TASSER server model protein Rv1514c
outcome score are satisfactory.
Evaluation of Rv1514c Protein Model
ProSA: Model evaluation essential for the demonstrated protein
structure, if there should be an occurrence of ab initio displaying
this, is provided with the measurable unwavering quality to
the 3D structure of the demonstrated protein. For the model
investigation Protein Structure Analysis (ProSA) server check the
potential errors. The assessed z-score of the model protein is -6.31
which is appeared in Figure 3(a). ProSA server demonstrates the
second plot, which indicates plotting energies as a function of
amino acid arrangement position i. As a rule, positive qualities
compare to problematic or incorrect parts of the input structure.
A plot of single buildup energies, as a rule, contains large
variances and is of limited an incentive for model assessment.
Thus the plot is smoothed by ascertaining the normal vitality
over every 40-buildup part s (i, i+39), which is then allocated to
the ‘focal’ deposit of the piece at position i+19. The second line
with a little window size of 10 deposits is appeared out of sight of
the plotted Figure 3(b).
Rampage: The protein model evaluation by SAVES metaserver
some server like (RAMPAGE, Verify3D and ERRAT). RAMPAGE
(Ramachandran plot examination) which is an online server
look at the displayed protein structure showed that the 92.3%
residues are in the most favored region, 5.8% buildups in the
additional allowed region and 1.9% residues in outlier region.
These parameters of protein structure exhibiting that our showed
protein was of good quality steady and satisfactory.
Verify3D: The assessment of Rv1514c protein three-dimensional
profiles investigation by utilizing a Verify3D server. This program
assesses the closeness of an atomic model (3D) with its own
specific amino corrosive arrangement which is 1 dimensional.
Each deposit is doled out an essential class in a brilliance of its
zone and condition (alpha, beta, circle, polar, non-polar et cetera).
The score ranges from-1 (poor score) to +1 (awesome score).
90.48% of the arrangement had found in the centre estimation
of 3D-1D score >=0.2 that is discerning for our exhibited protein
appeared.
Errat: ERRAT is an online server which favors the protein
structure on the beginning of the atomic association between
different sorts of molecules. The general quality factor is 98.8649
of our protein structure which is satisfactory.
Intrinsic Dynamics Studies of the Rv1514c Model
In typical mode examination (NMA) initial six modes
coordinating with worldwide pivot and interpretation of the
framework are for the most part disregarded and consequently,
least recurrence mode of concern is the seventh one. Typical
Mode Analysis of the Rv1514c protein showed that low twisting
energies were related with generally unbending districts in the
protein. NMA demonstrated the vibration and thermal properties
of a protein at the atomic level. The Rv1514c protein from M.
tuberculosis had minimal deformation energies are 1541.04,
2992.26, 4095.30 and 5269.36 but the lowest deformation
energies of 2992.26 in the seventh mode as shown in Table 2. It
inferred that the seventh mode with extensive unbending regions
had a superior probability of describing domain motions as
shown in Figure 4.
Figure 3:Model Evaluation: For the model evaluation done by ProSA tool result showing the subfigures indicate that Rv1514c protein that’s although homologous of (PDB code 2Z86, chain A). (a) ProSA-web z-scores of Rv1514c protein chains (A) in PDB determined by X-ray crystallography (light blue) or NMR spectroscopy (dark blue) with acclaim to their length (-6.31) shown in above studies and the z-scores of Rv1514c point as large dots. (b) The energy plot of Rv1514c shows the energies of the residue the window size is 40.
Table 2: Deformation energies: This table shows the minimal deformation energies of Rv1514c protein from M. tuberculosis had deformation energies are 1541.04, 2992.26, 4095.30 and 5269.36 but the lowest deformation energies of 2992.26 in the seventh mode.
S. No. |
Mode Index |
Deformation Energies |
1 |
7 |
616.28 |
2 |
8 |
1249.42 |
3 |
9 |
1591.43 |
4 |
10 |
1541.04 |
5 |
11 |
2055.35 |
6 |
12 |
2458.86 |
7 |
13 |
3046.28 |
8 |
14 |
2992.26 |
10 |
15 |
4127.75 |
11 |
16 |
4095.30 |
12 |
17 |
5176.75 |
13 |
18 |
5565.31 |
14 |
19 |
5269.36 |
15 |
20 |
6734.49 |
Figure 4:Prediction of Intrinsic Dynamics analysis: The intrinsic dynamics prediction figure shows the Deformation energies and Normalized atomic displacement plot of the Rv1514c protein for M. tuberculosis H37Rv.
Rv1514c model quality analysis
Protein quality analysis (ProQ) predicts the protein quality,
it depends on the neural system which can figure the number of
structural characters this demonstrates the quality of a protein
model and its improved to assess the right models and discover
native structures. ProQ assessment estimates LG score and
MaxSub. In Rv1514c demonstrate structure protein, anticipated
LG score was 4.060 and MaxSub 0.146 which implies Rv1514c
protein quality is an extremely great model.
Ligand Binding Site Prediction of Rv1514c protein
For protein binding site prediction of Rv1514c protein done
by COACH server they anticipated ligand binding (pocket) site
which produce corresponding binding site forecasts utilizing two
similar strategies, TM-SITE and S-SITE. By the examination of
COACH, results demonstrate on rank 1 Protein Data Bank (PDB)
hit 2D7I which have C-score 0.91 where the cluster size is 109
and it is a (Crystal structure of pp-GalNAc-T10 with UDP, GalNAc
and Mn2+) Transferase protein form the organism of Homo sapiens
where ligand as UDP (Uridine-Diphosphate). In Rv1514c buildup
consensus binding sites residues as 12, 13, 14, 16, 43, 68, 70, 71,
91, 92, 93, 173, 174, 200 and 204. In TM-SITE and S-SITE result
rank 1 the PDB hit is also 2D7I but the C-score and cluster size
is low with comparison earlier result but the other hand in rank
2 the PDB hit is 4FIY which C-score is 0.17 and cluster size is 3
ligand name are manganese(2+) binding sites are 16,93,94,203.
At last, the server demonstrate that In Rv1514c protein binding
sites predicted on the 12, 13, 14, 16, 43, 68, 70, 71, 91, 92, 93,
173, 174, 200 and 204 residues with Uridine-Diphosphate clearly
shown in Figure 5.
Figure 5:Ligand Binding Site Prediction: For the ligand binding sites prediction of the Rv1514c protein has been done by Coach server demonstrates that Uridine-Diphosphate (UDP) as ligand with C-score 0.91 where the cluster size is 109 and the binding sites residues as 12, 13, 14, 16, 43, 68, 70, 71,91, 92, 93, 173, 174, 200 and 204. (a) This figure shows the binding residues on the site of Rv1514c protein. (b) In this cartoon model of Rv1514c protein showing the ligand Uridine-Diphosphate (UDP). (c) At last, in this figure showing the Rv1514c surface model with covered the ligand in the
protein structure
Functional analysis of Rv1514c protein
Rv1514c protein display based function forecast studies had
been finished by COFACTOR servers. COFACTOR is a structured
plan and protein-protein affiliation based strategy for common
perception of protein particles. COFACTOR results anticipated
analogue in PDB, Molecular limit, biological process, a cellular
component, enzyme homolog in PDB, format protein with relative
restricting locales appeared in Figure 6. COFACTOR online server
results in the foreseen quality metaphysics Gene Ontology (GO)
terms are organized by atomic capacity, organic process, and cell
part with a distinct C-score. In a Rv1514c useful examination of
atomic capacity by COFACTOR are with score 1.0 they anticipate
synergist action, confidence score 1.00 is for transferases activity
which means transferring glycosyl groups action, which means
100% confidence score for the function prediction of a Rv1514c
as a Transferases protein which transferring glycosyl groups
action. The outcome result of the COFACTOR results shown in
Figure 6.
Figure 6:Functional analysis: The figure demonstrates the gene ontology studies
with the molecular Function and Cell segment. The entire procedure
exhibits the molecular function studied C-score is 1.00 for Transferases
action has appeared in figure 6 and the cellular component C-score is
0.95 for an intracellular part.
Discussion
In the wake of seeing the state of the world because of TB we
presently require an eminent and regular treatment to secure
or to fight against this disease. Advancement of different lines
drugs additionally can’t fix which influences the circumstances to
compound and furthermore these medications make an opposing
situation because of them or by comparative medications. After
all the consistent endeavors by the researcher from numerous
decades to make a lasting arrangement, there was an absence of
the entire solution for this infection. In this manner in the current
situation influences scientists to decide its total fix as a vital activity.
The mentioned manuscript provides us with a new target which
is glycosyl transferases to kill this pathogenic bacterium. Glycosyl
transferases are the universal molecule help in transfer of the
glycosyl residue on various moieties [14]. Various bioinformatics
approaches have been applied on this gene to elaborate its
various functions and essentiality in biological system. Glycosyl
transferases are badly required for synthesizing glycosyl linkages
in the cell wall components like arabinan LAM, Mycolic acids etc
[19]. Rv1514c is predicted to be a glycosyl transferases gene and
various bioinformatics approaches have been used to understand
the working. STRING database tool proves protein-interaction
with various other proteins but the interaction capacity was
higher for fcl (EpiA) which is nucleotide sugar epimerase [23, 24].
As fcl (EpiA) involved in the cell make up, its interacting partner
Rv1514c might be an important key point for its functioning. The
3D structure for this protein has been modeled by I-TASSER [27]
evaluated by ProSA, ERRAT, Verify3D and RAMPAGE [32-35] and
their intrinsic dynamics studies by WEBnm@ which figure out
the miss happening energies [37]. The model quality analysis
predicted by ProQ which outcome result is Rv1514c model
quality is satisfied [39, 40]. Binding sites on this protein have been
derived by the help of COACH server which ensure the binding
of UDP and manganese2+ on various sites [41, 42]. Functional
analysis of this gene is forced by COFACTOR server which proves
that this gene having transferases activity by a satisfied score [43,
44]. As discussed above that glycosyl transferases is one of the
important class of enzymes, understanding and classification of
these gene might be an important step in knowing the strategy of
the survival of this bacterium inside host cell and therefore could
be used a step in the eradication of this disease.
Acknowledgement
The authors thankful to Council of Scientific & Industrial
Research-Institute of Genomics and Integrative Biology for fiscal
support. Md. Amjad Beg also acknowledges University Grants
Commission Maulana Azad National Fellowship for the financial
support and Jamia Millia Islamia University.
- Sakula A. Robert Koch: The story of his discoveries in tuberculosis. Irish Journal of Medical Science. 1985;154(1):3-9. doi: 10.1007/BF02938285
- Martin C. The dream of a vaccine against tuberculosis; new vaccines improving or replacing BCG? European Respiratory Journal. 2005; 26(1):162-167. doi: 10.1183/09031936.05.00109904
- Rodrigues LC, Mangtani P, Abubakar I. How does the level of BCG vaccine protection against tuberculosis fall over time? British Medical Journal. 2011;343-d5974. doi: 10.1136/bmj.d5974
- Caws M, Duy PM, Tho DQ, Lan NT, Hoa DV, Farrar J. Mutations prevalent among rifampin and isoniazid-resistant Mycobacterium tuberculosis isolates from a hospital in Vietnam. Journal of Clinical Microbiology. 2006;44(7):2333-2337. doi: 10.1128/JCM.00330-06
- Russell DG. Mycobacterium tuberculosis: here today, and here tomorrow. Nature Reviews Molecular Cell Biology. 2001;2(8): 569-577. doi: 10.1038/35085034
- Barry CE, Boshoff HI, Dartois V, Dick T. The spectrum of latent tuberculosis: rethinking the biology and intervention strategies. Nature Reviews Microbiology. 2009;7(12):845-855. doi: 10.1038/nrmicro2236
- Pai M, Behr MA, Dowdy D, Dheda K, Divangahi M, Boehme CC. Tuberculosis. Nature Reviews Disease Primers. 2016;27(2): 16076. doi: 10.1038/nrdp.2016.76
- Esmail H, Barry CE, Young DB, Wilkinson RJ. The ongoing challenge of latent tuberculosis. Philosophical Transactions of the Royal Society Biological science. 2014;369(1645):20130437. doi: 10.1098/rstb.2013.0437
- Pieters J. Mycobacterium tuberculosis and the macrophage: maintaining a balance. Cell Host & Microbe. 2008;3(6):399-407. doi: 10.1016/j.chom.2008.05.006
- Yerlikaya S, Broger T, MacLean E, Pai M, Denkinger CM. A Tuberculosis Biomarker Database: The Key to Novel TB Diagnostics. International Journal of Infectious Diseases. 2017;(56):253–257. doi: 10.1016/j.ijid.2017.01.025
- Meena LS. An overview to understand the role of PE_PGRS family proteins in Mycobacterium tuberculosis H37Rv and their potential targets. Biotechnology Applied Biochemistry. 2015;62(2):145-153. doi: 10.1002/bab.1266
- Kumari P, Meena LS. Factors affecting susceptibility to Mycobacterium tuberculosis: a close view of immunological defence mechanism. Applied Biochemistry and Biotechnology. 2014;174(8):2663-2673. doi: 10.1007/s12010-014-1217-3
- Rajni, Meena LS. Survival mechanisms of pathogenic Mycobacterium tuberculosis H37Rv. FEBS Journal. 2010;277(11):2416-2427. doi: 10.1111/j.1742-4658.2010.07666.x
- Unligil UM, Rini JM. Glycosyltransferase structure and mechanism. Current Opinion Structural Biology. 2000;10(5):510-517. doi: 10.1016/S0959-440X(00)00124-X
- Liu J, Mushegian A. Three monophyletic superfamilies account for the majority of the known glycosyltransferases. Protein Science. 2003;12(7):1418-1431. doi: 10.1110/ps.0302103
- VanderVen BC, Harder JD, CrickDC, Belisle JT. Export-mediated assembly of Mycobacterial lycoproteins parallels eukaryotic pathways. Science. 2005;309(5736):941-943. doi: 10.1126/science.1114347
- Alderwick LJ, Seidel M, Sahm H, Besra GS, Eggeling L. Identification of a novel arabinofuranosyltransferase (AftA) involved in cell wall arabinan biosynthesis in Mycobacterium tuberculosis. Journal of Biological Chemistry. 2006;281(23):15653-15661. doi: 10.1074/jbc.M600045200
- Kaur D, Berg S, Dinadayala P, Gicquel B, Chatterjee D, McNeil MR, Vissa VD, et al. Biosynthesis of mycobacterial lipoarabinomannan: role of a branching mannosyltransferase. Proceedings of the National Academy of Science of the United States of America. 2006;103(37):13664-13669. doi: 10.1073/pnas.0603049103
- Buchmeiner N, Fahey RC. The mshA gene coding the glycosyltransferase of mycothiol biosynthesis is essential in Mycobacterium tuberculosis Erdman. FEMS Microbiology Letter. 2006;264(1):74-79. Doi 10.1111/j.1574-6968.2006.00441.x
- WatkinsHA, BakerEN. Structural and functional analysis of Rv3214 from Mycobacterium tuberculosis,a protein with conflicting functionalannotations, leads toits characterization as a phosphatase. Journal of Bacteriology. 2006;188(10):3589-3599.
- Monu, Meena LS. Biochemical characterization of PE_PGRS61 family protein of Mycobacterium tuberculosis H37Rv reveals the binding ability to fibronectin. Iranian Journal Basic Medical Science. 2016;19(10):1105-1113.
- Beg MA, Shivangi, Thakur SC, Meena LS. Structural prediction and mutational analysis of Rv3906c gene of Mycobacterium tuberculosis H37Rv to determine its essentiality in survival. Advances in Bioinformatics. 2018;6152014:1-12. doi: 10.1155/2018/6152014
- Szklarczyk D, Morris JH, Cook H, Kuhn M, Wyder S, Simonovic M, Alberto Santos, et al. The STRING database in 2017: quality-controlled protein-protein association networks, made broadly accessible. Nucleic Acids Research. 2017;45(D1):D362-D368. doi: 10.1093/nar/gkw937
- Lewis AC, Saeed R, Deane CM. Predicting protein-protein interactions in the context of protein evolution. Molecular Biosystem. 2010;6(1):55-64. doi: 10.1039/b916371a
- Kapopoulou A, Lew JM, Cole ST. The MycoBrowser portal: a comprehensive and manually annotated resource for mycobacterial genomes. Tuberculosis. 2011;91(1):8-13. doi: 10.1016/j.tube.2010.09.006
- Gao Y, Wang S, Deng M, Xu J. RaptorX-Angle: real-value prediction of protein backbone dihedral angles through a hybrid method of clustering and deep learning. BMC Bioinformatics. 2018;19(Suppl 4):100. doi: 10.1186/s12859-018-2065-x
- Kumar S, Nath O, Govil S, Pathak AN. Computational 3D prediction, evaluation and analysis of pyruvate dehtdrogenase an effective target for filarial infection by Brugia pahangi using homology modeling approach. International Journal of Pharmaceutical Science Drug Research. 2014;6(2):120-123.
- Yang J, Yan R, Roy A, Xu D, Poissn J, Zhang Y. The I-TASSER Suite: protein structure and function prediction prediction. Nature Methods. 2015;12(1):7-8. doi: 10.1038/nmeth.3213
- Roy A, Kucukural A, Zhang Y. I-TASSER: a unified platform for automated protein and function prediction. Nature Protocol. 2010;5(4):725-738. doi: 10.1038/nprot.2010.5
- Zhang Y. I-TASSER server for protein 3D structure prediction. BMC Bioinformatics. 2008;9:40. doi: 10.1186/1471-2105-9-40
- Wallner B, Elofsson A. Can correct protein models be identified. Protein Science. 2003; 12(5):1073-86. doi: 10.1110/ps.0236803
- Wiederstein M, Sippl M J. ProSA-web: interactive web service for the recognition of errors in three-dimensional structures of proteins. Nucleic Acids Research. 2007. doi: 10.1093/nar/gkm290
- Colovos C, Yeates T O. Verification of protein structures: patterns of nonbonded atomic interactions. Protein Science. 1993; 2(9): 1511-1519. doi: 10.1002/pro.5560020916
- Bowie J U, Luthy R, Eisenberg D. A method to identify protein sequences that fold into a known three-dimensional structure. Science. 1991; 253(5016): 164-170. doi: 10.1126/science.1853201
- Ho B K, Brasseur R. The Ramachandran plots of glycine and pre-proline. BMC Structural Biology. 2005. doi: 10.1186/1472-6807-5-14
- Lovell S C, Davis I W, Arendall W B, Bakker P I, Word J M, Prisant M G, et al. Structure validation by Calpha geometry: phi,psi and Cbeta deviation. Protein. 2003; 50(3): 437-450. doi: 10.1002/prot.10286
- Hollup S M, Salensminde G, Reuter N. Webnm@ a web application for normal mode analyses of proteins. BMC Bioinformatics. 2005. doi: 10.1186/1471-2105-6-52
- Sharon F B, Daniel R R. Homology Modeling of Nitrogenase Iron Protein of Nitrogen Fixing Actinomycete Arthrobacter sp. International Journal of Computer Applications. 2013; 61(1):13-19. doi: 10.5120/9891-4457
- Kumar S, Nath O, Govil S, Pathak A N. Computational 3D Structure Prediction, Evaluation and Analysis of Pyruvate Dehydrogenase an Effective Target for Filarial Infection by Brugia pahangi Using Homology Modeling Approach. International Journal of Pharmaceutical Sciences and Drug Research. 2014; 6(2): 120-123.
- Cristobal S, Zemla A, Fisher D, Rychlewski L, Elofsson A. A study of quality measures for protein threading models. BMC Bioinformatics. 2001. doi: 10.1186/1471-2105-2-5
- Yang J, Roy A, Zhang Y. Protein-ligand binding site recognition using complementary binding-specific substructure comparison and sequence profile alignment. Bioinformatics. 2013; 29(20): 2588-2595. doi: 10.1093/bioinformatics/btt447
- Wang S, Sun S, Li Z, Zhang R, Xu J. Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model. PLoS Computational Biology. 2017; 13(1). doi.org/10.1371/journal.pcbi.1005324
- Roy A, Yang J, Zhang Y. COFACTOR: an accurate comparative algorithm for structure-based protein function annotation. Nucleic Acids Research. 2012; 40 (Web Server issue): W471-477. doi: 10.1093/nar/gks372
- Zhang C, Freddolino P L, Zhang Y. COFACTOR: improved protein function prediction by combining structure, sequence and protein-protein interaction information. Nucleic Acids Research. 2017; 45(W1): W291-W299. doi: 10.1093/nar/gkx366
- Mattow J, Jungblut P R, Schaible U E, Mollenkopf H J, Lamer S, Zimny Arndt U, et al. Identification of proteins from Mycobacterium tuberculosis missing in attenuated Mycobacterium bovis BCG strains. Electrophoresis. 2001;22(14):2936-46. doi:10.1002/1522-683(200108)22:14<2936::AID-ELPS2936>3.0.CO;2-S
- DeJesus M A, Gerrick E R, Xu W, Park S W, Long J E, Boutte C C, et al. Comprehensive Essentiality Analysis of the Mycobacterium tuberculosis Genome via Saturating Transposon Mutagenesis. MBio. 2017; 8(1): 2133-16. doi: 10.1128/mBio.02133-16
- Ning B, Elbein A D. Purification and properties of mycobacterial GDP-mannose pyrophosphorylase. Archives of Biochemistry and Biophysics. 1999; 362(2): 339-345. doi: 10.1006/abbi.1998.1053
- Mawuenyega K G, Forst C V, Dobos K M, Belisle J T, Chen J, Bradbury E M, et al. Mycobacterium tuberculosis functional network analysis by global subcellular protein profiling. Molecular Biology of Cell. 2005; 16(1): 396-404. doi:10.1091/mbc.e04-04-0329
- Sambou T, Dinadayala P, Stadthagen G, Barilone N, Bordat Y, Constant P, et al. Capsular glucan and intracellular glycogen of Mycobacterium tuberculosis: biosynthesis and impact on the persistence in mice. Molecular Microbiology. 2008; 70(3): 762-774. doi: 10.1111/j.1365-2958.2008.06445.x
- Jackson M, Crick D C, Brennan P J. Phosphatidylinositol is an essential phospholipid of mycobacteria. 2000; 275(39) 30092-9. doi: 10.1074/jbc.M004658200
- Lea Smith DJ, Martin K L, Pyke J S, Tull D, McConville M J, Coppel RL, et al. Analysis of a new mannosyltransferase required for the synthesis of phosphatidylinositol mannosides and lipoarbinomannan reveals two lipomannan pools in corynebacterineae. Journal of biological Chemistry. 2008; 283(11): 6773-6782. doi: 10.1074/jbc.M707139200