203 related articles for article (PubMed ID: 38374606)
1. In silico drug design strategies for discovering novel tuberculosis therapeutics.
Canales CSC; Pavan AR; Dos Santos JL; Pavan FR
Expert Opin Drug Discov; 2024 Apr; 19(4):471-491. PubMed ID: 38374606
[TBL] [Abstract][Full Text] [Related]
2. [Development of antituberculous drugs: current status and future prospects].
Tomioka H; Namba K
Kekkaku; 2006 Dec; 81(12):753-74. PubMed ID: 17240921
[TBL] [Abstract][Full Text] [Related]
3. Advances and challenges in drug design against tuberculosis: application of in silico approaches.
Aleksandrov A; Myllykallio H
Expert Opin Drug Discov; 2019 Jan; 14(1):35-46. PubMed ID: 30477360
[TBL] [Abstract][Full Text] [Related]
4. Traditional and Novel Computer-Aided Drug Design (CADD) Approaches in the Anticancer Drug Discovery Process.
Del Carmen Quintal Bojórquez N; Campos MRS
Curr Cancer Drug Targets; 2023; 23(5):333-345. PubMed ID: 35792126
[TBL] [Abstract][Full Text] [Related]
5. In silico approaches and chemical space of anti-P-type ATPase compounds for discovering new antituberculous drugs.
Santos P; López-Vallejo F; Soto CY
Chem Biol Drug Des; 2017 Aug; 90(2):175-187. PubMed ID: 28111912
[TBL] [Abstract][Full Text] [Related]
6. The role and potential of computer-aided drug discovery strategies in the discovery of novel antimicrobials.
Oselusi SO; Dube P; Odugbemi AI; Akinyede KA; Ilori TL; Egieyeh E; Sibuyi NR; Meyer M; Madiehe AM; Wyckoff GJ; Egieyeh SA
Comput Biol Med; 2024 Feb; 169():107927. PubMed ID: 38184864
[TBL] [Abstract][Full Text] [Related]
7. Opportunities for overcoming tuberculosis: Emerging targets and their inhibitors.
Yang L; Hu X; Chai X; Ye Q; Pang J; Li D; Hou T
Drug Discov Today; 2022 Jan; 27(1):326-336. PubMed ID: 34537334
[TBL] [Abstract][Full Text] [Related]
8. Anti-tubercular Modelling via QSAR Approach, In Silico Design and Virtual Docking Screening of Designed Hypothetical Inhibitors Against DNA gyrase Protein.
Adeniji SE
Curr Comput Aided Drug Des; 2021; 17(6):739-758. PubMed ID: 32586260
[TBL] [Abstract][Full Text] [Related]
9. Applications of Molecular Simulation in the Discovery of Antituberculosis Drugs: A Review.
Hu JP; Wu ZX; Xie T; Liu XY; Yan X; Sun X; Liu W; Liang L; He G; Gan Y; Gou XJ; Shi Z; Zou Q; Wan H; Shi HB; Chang S
Protein Pept Lett; 2019; 26(9):648-663. PubMed ID: 31218945
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Drug Discovery for
Ejalonibu MA; Ogundare SA; Elrashedy AA; Ejalonibu MA; Lawal MM; Mhlongo NN; Kumalo HM
Int J Mol Sci; 2021 Dec; 22(24):. PubMed ID: 34948055
[TBL] [Abstract][Full Text] [Related]
12.
Sawicki R; Ginalska G
Future Med Chem; 2019 Aug; 11(16):2193-2203. PubMed ID: 31538522
[TBL] [Abstract][Full Text] [Related]
13. Recent Trends in Computer-aided Drug Design for Anti-cancer Drug Discovery.
Razia IT; Kanwal A; Riaz HF; Malik A; Ahsan M; Khan MS; Raza A; Sabir S; Sajid Z; Khan MF; Tahir RA; Sehgal SA
Curr Top Med Chem; 2023; 23(30):2844-2862. PubMed ID: 38031798
[TBL] [Abstract][Full Text] [Related]
14. An update on the discovery and development of selective heat shock protein inhibitors as anti-cancer therapy.
Olotu F; Adeniji E; Agoni C; Bjij I; Khan S; Elrashedy A; Soliman M
Expert Opin Drug Discov; 2018 Oct; 13(10):903-918. PubMed ID: 30207185
[TBL] [Abstract][Full Text] [Related]
15. An Outline of the Latest Crystallographic Studies on Inhibitor-Enzyme Complexes for the Design and Development of New Therapeutics against Tuberculosis.
Mori M; Villa S; Ciceri S; Colombo D; Ferraboschi P; Meneghetti F
Molecules; 2021 Nov; 26(23):. PubMed ID: 34885662
[TBL] [Abstract][Full Text] [Related]
16. The quest for the holy grail: new antitubercular chemical entities, targets and strategies.
Huszár S; Chibale K; Singh V
Drug Discov Today; 2020 Apr; 25(4):772-780. PubMed ID: 32062007
[TBL] [Abstract][Full Text] [Related]
17. Promising Antimycobacterial Activities of Flavonoids against
Rabaan AA; Alhumaid S; Albayat H; Alsaeed M; Alofi FS; Al-Howaidi MH; Turkistani SA; Alhajri SM; Alahmed HE; Alzahrani AB; Mashraqi MM; Alwarthan S; Alhajri M; Alshahrani FS; Almuthree SA; Alsubki RA; Abuzaid AA; Alfaresi M; Al Fares MA; Mutair AA
Molecules; 2022 Aug; 27(16):. PubMed ID: 36014572
[TBL] [Abstract][Full Text] [Related]
18. A Molecular Dynamics Investigation of Mycobacterium tuberculosis Prenyl Synthases: Conformational Flexibility and Implications for Computer-aided Drug Discovery.
Kim MO; Feng X; Feixas F; Zhu W; Lindert S; Bogue S; Sinko W; de Oliveira C; Rao G; Oldfield E; McCammon JA
Chem Biol Drug Des; 2015 Jun; 85(6):756-69. PubMed ID: 25352216
[TBL] [Abstract][Full Text] [Related]
19. An Overview of Computer-aided Drug Design Tools and Recent Applications in Designing of Anti-diabetic Agents.
Kaur P; Khatik G
Curr Drug Targets; 2021; 22(10):1158-1182. PubMed ID: 33213342
[TBL] [Abstract][Full Text] [Related]
20. In silico analyses for the discovery of tuberculosis drug targets.
Chung BK; Dick T; Lee DY
J Antimicrob Chemother; 2013 Dec; 68(12):2701-9. PubMed ID: 23838951
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
