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Proceeding Paper

Structural and Functional Annotation of Uncharacterized Protein NCGM946K2_146 of Mycobacterium Tuberculosis: An In-Silico Approach †

by
Abu Saim Mohammad Saikat
1,
Rabiul Islam
2,*,
Shahriar Mahmud
3,
Md. Abu Sayeed Imran
3,
Mohammad Shah Alam
4,
Mahmudul Hasan Masud
4 and
Md. Ekhlas Uddin
5
1
Department of Biochemistry and Molecular Biology, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj 8100, Bangladesh
2
Divisional DNA Screening Laboratory, Faridpur Medical College Hospital, Ministry of Women & Children Affairs, Dhaka 7800, Bangladesh
3
Department of Biotechnology and Genetic Engineering, Islamic University, Kushtia 7003, Bangladesh
4
Department of Microbiology, Gono Bishwabidalay, Savar, Dhaka 1344, Bangladesh
5
Department of Biochemistry and Molecular Biology, Gono Bishwabidalay, Savar, Dhaka 1344, Bangladesh
*
Author to whom correspondence should be addressed.
Presented at the 1st International Electronic Conference on Microbiology, 2–30 November 2020; Available online: https://ecm2020.sciforum.net/.
Proceedings 2020, 66(1), 13; https://doi.org/10.3390/proceedings2020066013
Published: 30 December 2020
(This article belongs to the Proceedings of The 1st International Electronic Conference on Microbiology)

Abstract

:
The human pathogen Mycobacterium tuberculosis (MTB) is indeed one of the renowned, important, longtime infectious diseases, tuberculosis (TB). Interestingly, MTB infection has become one of the world’s leading causes of human death. In trehalose synthase, the protein NCGM 946K2 146 found in MTB has an important role. For carbohydrate transport and metabolism, trehalose synthase is required. The protein is not clarified yet, though. In this research, an in silico approach was, therefore, formulated for functional and structural documentation of the uncharacterized protein NCGM946K2_146.Three distinct servers, including Modeller, Phyre2, and Swiss Model, were used to evaluate the predicted tertiary structure. The top materials are selected using structural evaluations conducted with the analysis of Ramachandran Plot, Swiss-Model Interactive Workplace, ProSA-web, Verify 3D, and Z scores. This analysis aimed to uncover the value of the NCGM946K2_146 protein of MTB. This research will, therefore, improve our pathogenesis awareness and give us a chance to target the protein compound.

1. Introduction

Mycobacterium tuberculosis (MTB) is an antiquity bacterial species which is a rod-like, acid-fast, and Gram-positive organism responsible for one of the most lethal diseases (ranking above HIV/AIDS)-Tuberculosis (TB). Typically, TB spreads from an individual infected with MTB via the air, such as by coughing. Pulmonary TB is an infection of the lungs, and extra pulmonary TB is the infection of other sites of the body. It has been reported in 2018 that almost 10 million tuberculosis patients (range 9.0–11.1 million) died from HIV-negative deaths in 2018, creating a high risk for tuberculosis spreading and global growth [1].
MBT has the second-largest bacterial genome sequence on tap with 3924 open reading frames. Indeed, multi-gene families and duplicate housekeeping genes have multiple repetitive DNAs, particularly insertion sequences, present in MTB [2]. The CDSearch tool [3] predicted a domain of the protein NCGM946K2_146 and was described as a functional protein. Moreover, the uncharacterized protein NCGM946K2_146 from MTB is structurally, but not functionally, reported. The analysis therefore explains the comprehensive physicochemical characterization and the predicted functionally annotated tertiary structure.

2. Materials and Methods

2.1. Sequence Retrieval

The amino acid sequence of NCGM946K2_146 was retrieved in FASTA format from the National Center for Biotechnology Information (NCBI) [4] with the accession ID of BAW10952. Up to this point, NCGM946K2_146 is not accessible in the Protein Data Bank (PDB) as the tertiary structure is not available in the PDB. The structural patterns of this protein subsequently began using the protein NCGM946K2_146 with a 455-amino-acidlong chain.

2.2. Physicochemical Characterization

The ExPASy server ProtParam method was used to measure the amino acid sequence composition, the instability index, the aliphatic index, the GRAVY (the measurement of hydrophobicity or hydrophilicity of a protein), and extinction coefficients as well [5]. Moreover, SMS Suite (v2.0) was used for the measurement of the theoretical isoelectric point (pI) of the NCGM946K2_146 protein [6].

2.3. Functional Annotation Prediction

The CD Search tool of NCBI [3] was used for domain prediction. The CD Search tool (https://www.ncbi.nlm.nih.gov/Structure/cdd/wrpsb.cgi) predicted a domain of the protein NCGM946K2_146.

2.4. Secondary Structure Prediction

The secondary structure NCGM946K2_146has been predicted by the PSI-blast based secondary structure Prediction (SPIPRED) software (server-based) and the Self-Optimized Prediction method With Alignment (SOPMA) framework was used for element prediction [7,8].

2.5. Tertiary Structure Modeling and Validation

Currently, there is no experimentally concluded tertiary structure available for NCGM946K2_146 of MTB in the Protein Data Bank (PDB). Consequently, the tertiary structures of the protein were modeled by utilizing three different programs, including Modeller [9] with the HHpred tool [10], Phyre2 [11], and the Swiss-Model server [12]. Predicted tertiary structures obtained from the three different servers, including the Modeller, the Phyre2, and the Swiss-Model servers, were subjected to structural quality assessment experiments.
The Ramachandran map evaluation by PROCHECK [13], Swiss-Model Interactive Workplace (https://swissmodel.expasy.org/assess), and Verify 3D [14] were utilized for modeled protein structure quality documentation. Additionally, Z-scores derived from the ProSA-web (https://prosa.services.came.sbg.ac.at/prosa.php) demanded consistency validation of the complete tertiary model.

2.6. Sub-Cellular Localization

The subcellular localization predictor tool CELLO v. 2.5 (http://cello.life.nctu.edu.tw/) was executed for sub-cellular localization of the protein NCGM946K2_146 present in MTB. This tool is used for the amino acid composition (comp.), N-peptide comp., physicochemical comp., neighboring seq. comp., and partitioned seq. comp. of the protein.

3. Results

3.1. Physicochemical Characterization

The protein NCGM946K2_146 contains a 455-amino-acid long sequence with a molecular weight of 49,889.11 Da. The extinction coefficient (all pairs of Cys residues form cystines) is 69,455; extinction coefficient (all Cys residues are reduced)-69,330. The protein is acidic (pI 5.06, 4.82*), containing a total number of 61negatively charged residues (Asp + Glu), and the total number of positively charged residues (Arg + Lys) is 46. The aliphatic index, instability index, and GRAVY are 88.62, 38.05, −0.185, respectively (Table 1).

3.2. Functional Annotation Prediction

A domain of a protein is a conserved part of a given protein sequence that has a function, and it exists independently from the rest of the protein chain [15]. The CD Search tool predicted a domain (accession ID of COG3281). This predicted domain is associated with trehalose synthase, an enzyme related to carbohydrate transport and metabolism.

3.3. Secondary Structure Prediction

SOPMA considered the default parameters for the secondary structure modeling. SOPMA predicted 33.85 percent of residues as random coils in comparison to alpha-helix (51.21 percent), extended strand (11.21 percent), and Beta turn (3.74 percent) by utilizing a 455-aa long protein sequence and 51 aligned proteins as well (Table 2). The PSIPRED program shows higher confidence of the prediction of the helix, strand, and coil (Figure 1). The amino acid composition obtained from the ExPASy ProtParam Tool is shown in Table 3.

3.4. Binding Sites (Protein–Protein, and Protein-Polynucleotide)

The predict protein server was executed for binding site prediction of the protein NCGM946K2_146. It showed that there are 17 different active protein binding sites, including the positions of 1-2; 5; 18-19; 42-44; 87-88; 116; 164; 197-199; 237-238; 271-273; 280; 296; 355; 381-383, 388; 390; and 395 (Figure 2).

3.5. Sub-Cellular Localization

The Sub-cellular Localization Predator tool CELLO v. 2.5 [16] was applied for subcellular localization of the protein NCGM946K2_146 of MTB. This tool predicted the localization of amino acid comp., N-peptide comp., physicochemical comp., neighboring seq. comp., and cytoplasmic and partitioned seq. comp. values of 0.931, 0.825, 0.817, 0.820, and 0.577, respectively. CELLO prediction values, including the reliabilities for cytoplasmic, membrane, extracellular, and cell wall, are 3.791, 1.016, 0.177, and 0.0017, respectively (Table 4).

3.6. Modeling and Validation of Tertiary Structures

Three different tools, namely the Modeller, the Phyre2, and the Swiss Model servers, were utilized for tertiary structure prediction of the protein NCGM946K2_146. The tertiary structure modeling was executed through Modeller [10] by selecting the most suitable template (selected from 250 suitable templates) for protein modeling. The target template (4O7O_B) was selected based on the probability rate (100%), the E-Value of 2.2 × 10−59, SS of 58.1, Cols of 455, and the target length of 455 (data not shown). The modeled three-dimensional structure of the protein is stored in PDB format (Figure 3). Similarly, the Phyre2 server was applied for tertiary structure prediction. The template (c4o7oB) was selected based on the confidence value of 100.0% and coverage of 99%. Besides, the Swiss Model server predicted the tertiary structure of the protein based on the most favored template (4o7p.1.B). This template bears the values of Global Model Quality Estimation (GMQE), Quaternary Structure Quality Estimation (QSQE), and identity score of 0.99, 0.74, and 99.78, respectively.
The Ramachandran plot analysis by PROCHECK, the Verify 3D tool, and the Swiss-Model Interactive Workplace tools were applied for structural assessment of the modeled tertiary structures obtained from the Modeller, the Phyre2, and the Swiss Model servers. In the case of the predicted tertiary structure by Modeller, the assessment experiment executed by the Ramachandran Map (PROCHECK) indicating 95.2% of the total residues (376) found in the core [A, B, L]; 4.8% of residues were found in the additional allowed regions [a,b,l,p]; and there was no residue found in the generously allowed parts [~a,~b,~l,~p] and the graciously allowed regions [~a,~b,~l,~p] (Table 5). The number of non-glycine, as well as the number of non-proline residues, was 395, which is 100%; the end-residues (excl. Gly and Pro) were two; the glycine residues and proline residues were 33 and 25, respectively, among the 455 total residues (Table 5). The Verify 3D tool documented the predicted structure by Modeller as an excellent three-dimensional structure (Figure 4).
The Swiss-Model Interactive Workplace calculated the MolProbity Score of 2.42, Ramachandran favored of 97.13%, and the QMEAN (Qualitative Model Energy Analysis), Cβ, the value of All Atom, measurement of solvation, and the torsion values of −1.05, −1.55, −0.71, 0.20 and −0.85, respectively (data not showed). On the other hand, the Phyre2 server modeled of the 451 residues (99% of the target sequence) with 100.0% confidence by the single highest scoring template. The Ramachandran plot analysis report of the designed tertiary (3D) structure by the Phyre2 program explained 93.6% of the residues were found in the most favored regions [A, B, L]; 6.1% were in the additional allowed parts [a,b,l,p]; 0.3% were found in the disallowed regions, and there was no aa residue found in the generously allowed areas (Table 5). The Verify 3D validated this predicted tertiary structure (Figure 4).
The Swiss-Model Interactive Workplace calculated the parameters of this predicted three-dimensional structure by Phyre2 server as the MolProbity Score of 2.37, Ramachandran favored region of 96.66%, and the QMEAN, the Cβ, the value of the all-atom, solvation value, and the torsion values of −1.23, −1.20, 0.18, 0.37, and −1.2, respectively (data not showed). In contrast, the Ramachandran plot analysis report of the designed tertiary structure (3D) by the Swiss Model server showed 94.2% of the residues were found in most favored regions [A, B, L]; 5.3% were present in the additional allowed areas [a,b,l,p]; 0.1% were found in the disallowed regions, and 0.4% were available in the generously allowed regions (Table 5). The Verify 3D program showed this modeled structure quality as good (Figure 4). The Swiss-Model Interactive Workplace predicted the MolProbity Score of 1.89, Ramachandran favored of 97.21%, and the QMEAN, the Cβ, the value of all-atom, solvation value, and the torsion values of −1.22, −1.12, 0.25, −0.14, and −0.99, respectively (data not showed). Furthermore, the Prosa-eb server [17] used for standard bond angles detection in the modeled tertiary structures of the protein NCGM946K2_146. Z-score for the shaped tertiary structures from the three servers including the Modeller, the Phyre2, and the Swiss-Model were −9.13, −9.38, and −8.04, respectively (data not showed).

4. Discussion

The amino acid (aa) sequence of the uncharacterized protein NCGM946K2_146 of MTB was retrieved in FASTA format and used as a query sequence for the determination of physico-chemical parameters. The theoretical isoelectric point (5.06, 4.82*) indicates the acidic nature of the protein (Table 1). The instability index of the protein NCGM946K2_146 is 38.05 (<40), which reported its stability [18]. The secondary structure elements (Table 2) and the amino acid composition (Table 3) reveal the characteristics of the protein NCGM946K2_146. The protein-protein and the protein-polynucleotide binding site characteristics (Figure 2) are essential for designing small molecules that modulate protein functions and also for drug and vaccine targeting opportunities [19,20].
The subcellular location analysis report of the protein provided an insight into the role of the protein [21]. CELLO v.2.5 predicted the subcellular location of the uncharacterized protein NCGM946K2_146 of MTB as cytoplasmic (Table 4). The modeled tertiary structures obtained from the three different servers-he Modeller, the Phyre2, and the Swiss-Model servers-were compared for structure quality assessment through Ramachandran plot analysis, Verify 3D analysis, and Interactive Workplace analysis of the Swiss-Model server (Table 5). Amino acid residues found in the most favored areas by the Modeller, the Phyre2, and the Swiss-Model programs were 95.2%, 93.6%, and 94.2%, respectively. In the case of Modeller, there was no residue in the disallowed regions, but 0.3%and 0.04% of residues were present in the forbidden areas found by Phyre2 and the Swiss Model, respectively.
The Swiss-Model Interactive Workplace-predicted Ramachandran-favored areas of the Modeller, the Phyre2, and the Swiss Model were found to be 97.13%, 96.66%, and 97.21%, respectively. The Verify 3D tool used for structural quality assessment indicated that the three programs scored 86.81%, 89.36%, and 88.78%, respectively (Figure 4). Z-scores were obtained from the ProSA-web, indicating the ‘degree of nativeness’ of the predicted tertiary structures. In this analysis, all three servers are documenting the similar values of Z-scores. Therefore, this comparison showed that the models generated by Modeller (Figure 5) were more acceptable when compared to the Phyre2 and the Swiss Model ones. The CD Search tool [3] predicted a domain of the protein and it was described as a functional protein. The predicted domain contains trehalose synthase. Trehalose synthase is an enzyme related to carbohydrate transport and metabolism. Trehalose is present in the cytoplasm of MTB as a free disaccharide and a mixture of cell-wall glycolipids [22].

5. Conclusions

The structural as well as the functional annotation of NCGM946K2_146, which is located in MTB, was documented in this study with the predicted ligand-binding active sites present in M. tuberculosis. The arrangement of amino acid sequences in the desired region was determined by assessing the protein structure. Regarding understanding protein operations, the physicochemical parameters, and also functional enrichment estimation, are beneficial. The secondary assumption and evaluation structures verified that alpha-helix, random spiral, extended strand, and beta turns were predominant in most sequences. Three different servers, including the Modeller, the Phyre2, and the Swiss-Model servers, were used to assess the assumed tertiary structures. PROCHECK for Ramachandran Map Analysis, the Verify 3D tool, the Swiss-Model Interactive Workplace server, and the Z-scores from ProSA-web were used as protein structure evaluation tools. The results showed that Modeller is appropriate for in silico documentation for the modeled protein NCGM946K2_146 out of the three separate servers. This study would provide an opportunity to design effective therapeutic drugs against the protein of M. tuberculosis.

Funding

This research received no external funding.

Acknowledgments

This work was collaboration among all the authors. Thanks to the co-author who supported with proper assistance and writing to conduct successful research. All authors have read and agreed to the published version of the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Predicted secondary structure.
Figure 1. Predicted secondary structure.
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Figure 2. Protein–protein and protein–polynucleotide binding sites. The ‘red triangles’ and the ‘colorful circled shapes’ indicate the protein–protein, and protein–polynucleotide binding sites, respectively.
Figure 2. Protein–protein and protein–polynucleotide binding sites. The ‘red triangles’ and the ‘colorful circled shapes’ indicate the protein–protein, and protein–polynucleotide binding sites, respectively.
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Figure 3. Structure of NCGM946K2_146 predicted by Modeller.
Figure 3. Structure of NCGM946K2_146 predicted by Modeller.
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Figure 4. Verify 3D results.
Figure 4. Verify 3D results.
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Figure 5. Ramachandran plot analysis of Modeller-predicted protein structure.
Figure 5. Ramachandran plot analysis of Modeller-predicted protein structure.
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Table 1. Physico-chemical Parameters.
Table 1. Physico-chemical Parameters.
Physio-Chemical ParametersValues
Number of amino acids455
Molecular weight49,889.11
Theoretical isoelectric point (pI)5.06, 4.82*
Aliphatic index88.62
Instability index38.05
Extinction coefficients (all pairs of Cys residues form cystines)69,455
Extinction coefficients (all Cys residues are reduced)69,330
Total number of negatively charged residues (Asp + Glu)61
Total number of positively charged residues (Arg + Lys)46
Grand average of hydropathicity (GRAVY)−0.185
*pI determined by SMS Version 2.
Table 2. Secondary structure elements.
Table 2. Secondary structure elements.
Secondary Structure ElementsValues (%)
Alpha helix (Hh)51.21
310 helix (Gg)0.00
Pi helix (Ii)0.00
Beta bridge (Bb)0.00
Extended strand (Ee)11.21
Beta turn (Tt)3.74
Bend region (Ss)0.00
Random coil (Cc)33.85
Ambiguous states0.00
Other states0.00
Table 3. Amino acid composition.
Table 3. Amino acid composition.
S. No.Amino AcidsNo. of Amino AcidsPercentage (%)
1Ala (A)6013.2
2Arg (R)398.6
3Asn (N)92.0
4Asp (D)316.8
5Cys (C)30.7
6Gln (Q)153.3
7Glu (E)306.6
8Gly (G)337.3
9His (H)71.5
10Ile (I) 122.6
11Leu (L)4710.3
12Lys (K)71.5
13Met (M) 40.9
14Phe (F)153.3
15Pro (P)255.5
16Ser (S)255.5
17Thr (T)296.4
18Trp (W)81.8
19Tyr (Y)173.7
20Val (V)398.6
Table 4. Subcellular localization analysis report.
Table 4. Subcellular localization analysis report.
Support Vector Machine (SVM)LocalizationReliability
Amino acid Comp.Cytoplasmic0.931
N-peptide Comp.Cytoplasmic0.825
Partitioned seq. Comp.Membrane0.577
Physicochemical Comp.Cytoplasmic0.817
Neighboring seq. Comp.Cytoplasmic0.820
Subcellular Localization Predictor (CELLO) valueCytoplasmic3.791 *
Membrane1.016
Extracellular0.177
Cell Wall0.017
* CELLO predicted the subcellular location of the protein as cytoplasmic.
Table 5. Ramachandran plot analysis.
Table 5. Ramachandran plot analysis.
ServersRamachandran Plot CalculationValue (%)
ModellerResidues in most favored regions [A,B,L]95.2
Residues in additional allowed regions [a,b,l,p]4.8
Residues in generously allowed regions [~a,~b,~l,~p]0.0
Residues in disallowed regions0.0
Phyre2Residues in most favored regions [A,B,L]93.6
Residues in additional allowed regions [a,b,l,p]6.1
Residues in generously allowed regions [~a,~b,~l,~p]0.0
Residues in disallowed regions0.3
Swiss ModelResidues in most favored regions [A,B,L]94.2
Residues in additional allowed regions [a,b,l,p]5.3
Residues in generously allowed regions [~a,~b,~l,~p]0.4
Residues in disallowed regions0.1
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MDPI and ACS Style

Saikat, A.S.M.; Islam, R.; Mahmud, S.; Imran, M.A.S.; Alam, M.S.; Masud, M.H.; Uddin, M.E. Structural and Functional Annotation of Uncharacterized Protein NCGM946K2_146 of Mycobacterium Tuberculosis: An In-Silico Approach. Proceedings 2020, 66, 13. https://doi.org/10.3390/proceedings2020066013

AMA Style

Saikat ASM, Islam R, Mahmud S, Imran MAS, Alam MS, Masud MH, Uddin ME. Structural and Functional Annotation of Uncharacterized Protein NCGM946K2_146 of Mycobacterium Tuberculosis: An In-Silico Approach. Proceedings. 2020; 66(1):13. https://doi.org/10.3390/proceedings2020066013

Chicago/Turabian Style

Saikat, Abu Saim Mohammad, Rabiul Islam, Shahriar Mahmud, Md. Abu Sayeed Imran, Mohammad Shah Alam, Mahmudul Hasan Masud, and Md. Ekhlas Uddin. 2020. "Structural and Functional Annotation of Uncharacterized Protein NCGM946K2_146 of Mycobacterium Tuberculosis: An In-Silico Approach" Proceedings 66, no. 1: 13. https://doi.org/10.3390/proceedings2020066013

APA Style

Saikat, A. S. M., Islam, R., Mahmud, S., Imran, M. A. S., Alam, M. S., Masud, M. H., & Uddin, M. E. (2020). Structural and Functional Annotation of Uncharacterized Protein NCGM946K2_146 of Mycobacterium Tuberculosis: An In-Silico Approach. Proceedings, 66(1), 13. https://doi.org/10.3390/proceedings2020066013

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