178 related articles for article (PubMed ID: 32072892)
1. In Silico Drug Target Discovery Through Proteome Mining from M. tuberculosis: An Insight into Antivirulent Therapy.
Bhattacharya S; Ghosh P; Banerjee D; Banerjee A; Ray S
Comb Chem High Throughput Screen; 2020; 23(3):253-268. PubMed ID: 32072892
[TBL] [Abstract][Full Text] [Related]
2. Identification of novel therapeutic target and epitopes through proteome mining from essential hypothetical proteins in Salmonella strains: An In silico approach towards antivirulence therapy and vaccine development.
Sah PP; Bhattacharya S; Banerjee A; Ray S
Infect Genet Evol; 2020 Sep; 83():104315. PubMed ID: 32276082
[TBL] [Abstract][Full Text] [Related]
3. Proteome-wide subtractive approach to prioritize a hypothetical protein of XDR-Mycobacterium tuberculosis as potential drug target.
Uddin R; Siddiqui QN; Sufian M; Azam SS; Wadood A
Genes Genomics; 2019 Nov; 41(11):1281-1292. PubMed ID: 31388979
[TBL] [Abstract][Full Text] [Related]
4. Application of a subtractive genomics approach for in silico identification and characterization of novel drug targets in Mycobacterium tuberculosis F11.
Hosen MI; Tanmoy AM; Mahbuba DA; Salma U; Nazim M; Islam MT; Akhteruzzaman S
Interdiscip Sci; 2014 Mar; 6(1):48-56. PubMed ID: 24464704
[TBL] [Abstract][Full Text] [Related]
5. targetTB: a target identification pipeline for Mycobacterium tuberculosis through an interactome, reactome and genome-scale structural analysis.
Raman K; Yeturu K; Chandra N
BMC Syst Biol; 2008 Dec; 2():109. PubMed ID: 19099550
[TBL] [Abstract][Full Text] [Related]
6. Identification and characterization of potential therapeutic candidates in emerging human pathogen Mycobacterium abscessus: a novel hierarchical in silico approach.
Shanmugham B; Pan A
PLoS One; 2013; 8(3):e59126. PubMed ID: 23527108
[TBL] [Abstract][Full Text] [Related]
7. Identification and characterization of potential druggable targets among hypothetical proteins of extensively drug resistant Mycobacterium tuberculosis (XDR KZN 605) through subtractive genomics approach.
Uddin R; Siddiqui QN; Azam SS; Saima B; Wadood A
Eur J Pharm Sci; 2018 Mar; 114():13-23. PubMed ID: 29174549
[TBL] [Abstract][Full Text] [Related]
8. Proteins with complex architecture as potential targets for drug design: a case study of Mycobacterium tuberculosis.
Mészáros B; Tóth J; Vértessy BG; Dosztányi Z; Simon I
PLoS Comput Biol; 2011 Jul; 7(7):e1002118. PubMed ID: 21814507
[TBL] [Abstract][Full Text] [Related]
9. Acetate Kinase (AcK) is Essential for Microbial Growth and Betel-derived Compounds Potentially Target AcK, PhoP and MDR Proteins in M. tuberculosis, V. cholerae and Pathogenic E. coli: An in silico and in vitro Study.
Tiwari S; Barh D; Imchen M; Rao E; Kumavath RK; Seenivasan SP; Jaiswal AK; Jamal SB; Kumar V; Ghosh P; Azevedo V
Curr Top Med Chem; 2018; 18(31):2731-2740. PubMed ID: 30663567
[TBL] [Abstract][Full Text] [Related]
10. Functional, structural and epitopic prediction of hypothetical proteins of Mycobacterium tuberculosis H37Rv: An in silico approach for prioritizing the targets.
Gazi MA; Kibria MG; Mahfuz M; Islam MR; Ghosh P; Afsar MN; Khan MA; Ahmed T
Gene; 2016 Oct; 591(2):442-55. PubMed ID: 27374154
[TBL] [Abstract][Full Text] [Related]
11. A computational subtractive genome analysis for the characterization of novel drug targets in Klebsiella pneumonia strain PittNDM01.
Rafiq H; Ullah K; Ahmad B; Rehman AU; Shah MK; Khan A; Uddin R; Azam SS; Wadood A
Microb Pathog; 2020 Sep; 146():104245. PubMed ID: 32423883
[TBL] [Abstract][Full Text] [Related]
12. Prioritizing drug targets in Clostridium botulinum with a computational systems biology approach.
Muhammad SA; Ahmed S; Ali A; Huang H; Wu X; Yang XF; Naz A; Chen J
Genomics; 2014 Jul; 104(1):24-35. PubMed ID: 24837790
[TBL] [Abstract][Full Text] [Related]
13. Drug discovery in tuberculosis. New drug targets and antimycobacterial agents.
Campaniço A; Moreira R; Lopes F
Eur J Med Chem; 2018 Apr; 150():525-545. PubMed ID: 29549838
[TBL] [Abstract][Full Text] [Related]
14. Investigating function roles of hypothetical proteins encoded by the Mycobacterium tuberculosis H37Rv genome.
Yang Z; Zeng X; Tsui SK
BMC Genomics; 2019 May; 20(1):394. PubMed ID: 31113361
[TBL] [Abstract][Full Text] [Related]
15. Potential drug targets in Mycobacterium tuberculosis through metabolic pathway analysis.
Anishetty S; Pulimi M; Pennathur G
Comput Biol Chem; 2005 Oct; 29(5):368-78. PubMed ID: 16213791
[TBL] [Abstract][Full Text] [Related]
16. Identification and characterization of potential drug targets by subtractive genome analyses of methicillin resistant Staphylococcus aureus.
Uddin R; Saeed K
Comput Biol Chem; 2014 Feb; 48():55-63. PubMed ID: 24361957
[TBL] [Abstract][Full Text] [Related]
17. Proteome mining for the identification and in-silico characterization of putative drug targets of multi-drug resistant Clostridium difficile strain 630.
Lohani M; Dhasmana A; Haque S; Wahid M; Jawed A; Dar SA; Mandal RK; Areeshi MY; Khan S
J Microbiol Methods; 2017 May; 136():6-10. PubMed ID: 28235560
[TBL] [Abstract][Full Text] [Related]
18. Enriching the annotation of Mycobacterium tuberculosis H37Rv proteome using remote homology detection approaches: insights into structure and function.
Ramakrishnan G; Ochoa-Montaño B; Raghavender US; Mudgal R; Joshi AG; Chandra NR; Sowdhamini R; Blundell TL; Srinivasan N
Tuberculosis (Edinb); 2015 Jan; 95(1):14-25. PubMed ID: 25467293
[TBL] [Abstract][Full Text] [Related]
19. Editorial: Current status and perspective on drug targets in tubercle bacilli and drug design of antituberculous agents based on structure-activity relationship.
Tomioka H
Curr Pharm Des; 2014; 20(27):4305-6. PubMed ID: 24245755
[TBL] [Abstract][Full Text] [Related]
20. Identification of putative non-host essential genes and novel drug targets against Acinetobacter baumannii by in silico comparative genome analysis.
Uddin R; Masood F; Azam SS; Wadood A
Microb Pathog; 2019 Mar; 128():28-35. PubMed ID: 30550846
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
