scholarly journals Mycobacterium tuberculosis H37Rv: In Silico Drug Targets Identification by Metabolic Pathways Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Asad Amir ◽  
Khyati Rana ◽  
Arvind Arya ◽  
Neelesh Kapoor ◽  
Hirdesh Kumar ◽  
...  

Mycobacterium tuberculosis (Mtb) is a pathogenic bacteria species in the genus Mycobacterium and the causative agent of most cases of tuberculosis. Tuberculosis (TB) is the leading cause of death in the world from a bacterial infectious disease. This antibiotic resistance strain lead to development of the new antibiotics or drug molecules which can kill or suppress the growth of Mycobacterium tuberculosis. We have performed an in silico comparative analysis of metabolic pathways of the host Homo sapiens and the pathogen Mycobacterium tuberculosis (H37Rv). Novel efforts in developing drugs that target the intracellular metabolism of M. tuberculosis often focus on metabolic pathways that are specific to M. tuberculosis. We have identified five unique pathways for Mycobacterium tuberculosis having a number of 60 enzymes, which are nonhomologous to Homo sapiens protein sequences, and among them there were 55 enzymes, which are nonhomologous to Homo sapiens protein sequences. These enzymes were also found to be essential for survival of the Mycobacterium tuberculosis according to the DEG database. Further, the functional analysis using Uniprot showed involvement of all the unique enzymes in the different cellular components.

2019 ◽  
Vol 19 (29) ◽  
pp. 2708-2717 ◽  
Author(s):  
Noor Rahman ◽  
Ijaz Muhammad ◽  
Gul E. Nayab ◽  
Haroon Khan ◽  
Rosanna Filosa ◽  
...  

Objective: In the present study, an attempt has been made for subtractive proteomic analysis approach for novel drug targets in Salmonella enterica subsp. enterica serover Typhi str.CT18 using computational tools. Method: Paralogous, redundant and less than 100 amino acid protein sequences were removed by using CD-HIT. Further detection of bacterial proteins which are non-homologous to host and are essential for the survival of pathogens by using BLASTp against host proteome and DEG`s, respectively. Comparative Metabolic pathways analysis was performed to find unique and common metabolic pathways. The non-redundant, non-homologous and essential proteins were BLAST against approved drug targets for drug targets while Psortb and CELLO were used to predict subcellular localization. Result: There were 4473 protein sequences present in NCBI Database for Salmonella enterica subsp. enterica serover Typhi str. CT18 out of these 327 were essential proteins which were non-homologous to human. Among these essential proteins, 124 proteins were involved in 19 unique metabolic pathways. These proteins were further BLAST against approved drug targets in which 7 cytoplasmic proteins showed druggability and can be used as a therapeutic target. Conclusion: Drug targets identification is the prime step towards drug discovery. We identified 7 cytoplasmic druggable proteins which are essential for the pathogen survival and non-homologous to human proteome. Further in vitro and in vivo validation is needed for the evaluation of these targets to combat against salmonellosis.


Author(s):  
Oladoja AWofisayo

Objectives: The need for new antimalarials drugs and drug targets is pertinent due to the emergence of drug resistant strains of the parasites. Improper target selection has resulted in therapeutic failure. The genomic/post genomic era has made possible the deciphering of the 3D crystal structures of proteins and DNA which are drug targets and are deposited in the protein data bank. Methods: Novel antimalarial targets obtained from evolutionary conserved short sequence motifs are utilised and are essential in transcription processes in the parasite. The motifs TGCATGCA, GTGCAC and GTGCGTGC were curated from experimental work, validated and analysed via phylogenomics genomics and comparative genomics. PlasmoDB blastn was applied to determine their similarity in Plasmodium vivax, knowlesi, Ovale and yoeli. The complete genome of Plasmodium falciparum vivax, knowlesi, Ovale and yoeli was downloaded from the plasmoDB and their positions determined. Results: The targets are essential, conserved in rodent and mammalian species via phylogenomics with percentage identity and similarity greater than 80%, have no similar genes in the same genome and also found to be selective in the parasites vis-à-vis the Homo sapiens via comparative genomics with 0% identity and similarity in the human genome. Conclusion: The targets reveal at the molecular and biochemical level, the vulnerable regions in the parasite while safe in human hence their choices in subsequent rationale drug discovery and design protocols. Peer Review History: Received: 18 July 2020; Revised: 1 October; Accepted: 12 October, Available online: 15 November 2020 UJPR follows the most transparent and toughest ‘Advanced OPEN peer review’ system. The identity of the authors and, reviewers will be known to each other. This transparent process will help to eradicate any possible malicious/purposeful interference by any person (publishing staff, reviewer, editor, author, etc) during peer review. As a result of this unique system, all reviewers will get their due recognition and respect, once their names are published in the papers. We expect that, by publishing peer review reports with published papers, will be helpful to many authors for drafting their article according to the specifications. Auhors will remove any error of their article and they will improve their article(s) according to the previous reports displayed with published article(s). The main purpose of it is ‘to improve the quality of a candidate manuscript’. Our reviewers check the ‘strength and weakness of a manuscript honestly’. There will increase in the perfection, and transparency. Received file Average Peer review marks at initial stage: 5.5/10 Average Peer review marks at publication stage: 7.0/10 Reviewer(s) detail: Dr. Tamer ELHABIBI, ERU University, Egypt, [email protected] Dr. Soroush Sardari, Biotech Pasteur Institute of Iran, Tehran, Iran, [email protected] Comments of reviewer(s): Similar Articles: IN SILICO LIGAND-BASED 2D PHARMACOPHORE GENERATION FOR H+/K+ ATPASE INHIBITORS


2021 ◽  
Vol 20 (4) ◽  
pp. 887-896
Author(s):  
Prachi Sao ◽  
Yamini Chand ◽  
Atul Kumar ◽  
Sachidanand Singh

Introduction: Porphyromonas Gingivalis (P. gingivalis) a primary periodontal disease pathogen. This bacterium affects sub-gingival tissue and leads to loss of teeth and alveolar bone destruction in the acute stage. In recent years, P. gingivalis is often connected with other diseases such as rheumatoid arthritis, diabetes, Alzheimer’s, and heart disease, though the aetiology is still unclear. Objective: The use of commonly available drugs to treat periodontitis results in various side effects, in particular multi-drug resistant strains. As the development of multidrugresistant strains frequently urges the identification of novel drug targets, the aim of this study is to identify specific targets in the narrow spectrum to combat oral pathogens. Methodology: This study used a comparative and subtractive pathway analysis approach to identify potential drug targets specific to P. gingivalis. Results: The in-silico comparison of the P. gingivalis and Homo sapiens (H. sapiens) metabolic pathways resulted in 13 unique pathogen pathways. A homology search of the 67 enzymes in the unique bacterial pathway using the BLASTp program against the Homo sapiens proteome resulted in fifteen possible targets that are non-homologous to the human proteome. Thirteen genes among 15 potent target encoders are key DEG genes indispensable for P. gingivalis’s survival. A comprehensive analysis of the literature identified three potential therapeutic drug targets. Conclusions: The three most relevant drug targets are Arabinose-5-phosphate isomerase, UDP-2,3-diacylglucosamine hydrolase, and Undecaprenyl diphosphatase. Upon corroboration, these targets may give rise to narrow-spectrum antibiotics that can specificallytreat thedental infection. Bangladesh Journal of Medical Science Vol.20(4) 2021 p.887-896


2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Swati Sinha ◽  
Andrew M. Lynn ◽  
Dhwani K. Desai

Abstract Background Homology based methods are one of the most important and widely used approaches for functional annotation of high-throughput microbial genome data. A major limitation of these methods is the absence of well-characterized sequences for certain functions. The non-homology methods based on the context and the interactions of a protein are very useful for identifying missing metabolic activities and functional annotation in the absence of significant sequence similarity. In the current work, we employ both homology and context-based methods, incrementally, to identify local holes and chokepoints, whose presence in the Mycobacterium tuberculosis genome is indicated based on its interaction with known proteins in a metabolic network context, but have not been annotated. We have developed two computational procedures using network theory to identify orphan enzymes (‘Hole finding protocol’) coupled with the identification of candidate proteins for the predicted orphan enzyme (‘Hole filling protocol’). We propose an integrated interaction score based on scores from the STRING database to identify candidate protein sequences for the orphan enzymes from M. tuberculosis, as a case study, which are most likely to perform the missing function. Results The application of an automated homology-based enzyme identification protocol, ModEnzA, on M. tuberculosis genome yielded 56 novel enzyme predictions. We further predicted 74 putative local holes, 6 choke points, and 3 high confidence local holes in the genome using ‘Hole finding protocol’. The ‘Hole-filling protocol’ was validated on the E. coli genome using artificial in-silico enzyme knockouts where our method showed 25% increased accuracy, compared to other methods, in assigning the correct sequence for the knocked-out enzyme amongst the top 10 ranks. The method was further validated on 8 additional genomes. Conclusions We have developed methods that can be generalized to augment homology-based annotation to identify missing enzyme coding genes and to predict a candidate protein for them. For pathogens such as M. tuberculosis, this work holds significance in terms of increasing the protein repertoire and thereby, the potential for identifying novel drug targets.


Gene ◽  
2016 ◽  
Vol 591 (2) ◽  
pp. 442-455 ◽  
Author(s):  
Md. Amran Gazi ◽  
Mohammad Golam Kibria ◽  
Mustafa Mahfuz ◽  
Md. Rezaul Islam ◽  
Prakash Ghosh ◽  
...  

2019 ◽  
Vol 2 (1) ◽  
pp. 37-48
Author(s):  
Ruswanto Ruswanto

Isoniazid merupakan obat antituberkulosis yang memiliki aktivitas antimikobakterial yang baik yang bekerja secara aktif dengan menghambat biosintesis asam mikolat. Telah dilakukan pengujian In Vitro pada senyawa N’-(4-Methylbenzoyl) Isonicotinohydrazide N’-(4-Chlorobenzoyl) Isonicotinohydrazide dan N’-(3,5-Dinitrobenzoyl) Isonicotinohydrazide terhadap Mycobacterium tuberculosis H37Rv, bakteri gram positif serta bakteri gram negatif dengan menggunakan metode sumuran dan pada pengujian Mycobacterium tuberculosis H37Rv menggunakan metode REMA (Resazurin Microtiter Assay). Didapat nilai MIC terbaik pada senyawa N’-(3,5-Dinitrobenzoyl) Isonicotinohydrazide memiliki potensi tinggi sebagai antibakteri dengan nilai MIC 0,169 ppm terhadap bakteri e.colli. Ketiga senyawa yang diujikan pada  Mycobacterium tuberculosis H37Rv memiliki kemampuan sebagai anti tuberkulosis tetapi isoniazid lebih baik dari senyawa uji. Senyawa N’-(3,5-Dinitrobenzoyl) Isonicotinohydrazide di dockingkan pada reseptor 1KZN memiliki binding affinity yang lebih kecil dibandingkan senyawa pembanding yaitu isoniazid sebesar -6,89 kkal/mol.


2021 ◽  
Author(s):  
Kirsten Elke Knoll ◽  
Mietha M. van der Walt ◽  
Du toit Loots

The highly adaptive cellular response of Mycobacterium tuberculosis to various antibiotics and the high costs for clinical trials, hampers the development of novel antimicrobial agents with improved efficacy and safety. Subsequently, in silico drug screening methods are more commonly being used for the discovery and development of drugs, and have been proven useful for predicting the pharmacokinetics, toxicities, and targets, of prospective new antimicrobial agents. In this investigation, we used a reversed target fishing approach to determine potential hit targets and their possible interactions between M. tuberculosis and decoquinate RMB041, a propitious new antituberculosis compound. Two of the thirteen identified targets, Cyp130 and BlaI, were strongly proposed as optimal drug-targets for dormant M. tuberculosis, of which the first showed the highest comparative binding affinity to decoquinate RMB041. The metabolic pathways associated to the selected target proteins were compared to previously published molecular mechanisms of decoquinate RMB041 against M. tuberculosis, whereby we confirmed disrupted metabolism of proteins, cell wall components, and DNA. We also described the steps within these pathways that are inhibited and elaborated on decoquinate RMB041's activity against dormant M. tuberculosis. This compound has previously showed promising in vitro safety and good oral bioavailability, which were both supported by this in silico study. The pharmacokinetic properties and toxicity of this compound were predicted and investigated using the online tools pkCSM and SwissADME, and Discovery Studio software, which furthermore supports previous safety and bioavailability characteristics of decoquinate RMB041 for use as an antimycobacterial medication.


2018 ◽  
Vol 18 (13) ◽  
pp. 1062-1074
Author(s):  
Subha Mahadevi Alladi

Tuberculosis continues to remain as one of the leading causes of death worldwide, in spite of significant progress being made in the last twenty years through increased compliance to treatment. The current review gives an overview of the recent efforts made in the endeavor to identify novel inhibitors and promising drug targets for Mycobacterium tuberculosis with structure and ligand-based approaches along with bioinformatics studies following complete sequencing of its genome. A large number of these studies target biomolecules in metabolic pathways that are vital for the survival of the microorganism. A discussion on efforts to study metalloproteins as relatively underexplored targets in the context of their druggability is also presented.


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