360 related articles for article (PubMed ID: 28707592)
1. Rational Drug Design of Antineoplastic Agents Using 3D-QSAR, Cheminformatic, and Virtual Screening Approaches.
Vucicevic J; Nikolic K; Mitchell JBO
Curr Med Chem; 2019; 26(21):3874-3889. PubMed ID: 28707592
[TBL] [Abstract][Full Text] [Related]
2. Virtual screening and rational drug design method using structure generation system based on 3D-QSAR and docking.
Chen HF; Dong XC; Zen BS; Gao K; Yuan SG; Panaye A; Doucet JP; Fan BT
SAR QSAR Environ Res; 2003 Aug; 14(4):251-64. PubMed ID: 14506869
[TBL] [Abstract][Full Text] [Related]
3. Application of QSAR and shape pharmacophore modeling approaches for targeted chemical library design.
Ebalunode JO; Zheng W; Tropsha A
Methods Mol Biol; 2011; 685():111-33. PubMed ID: 20981521
[TBL] [Abstract][Full Text] [Related]
4. Advances in Drug Discovery and Design using Computer-aided Molecular Modeling.
Singh K; Bhushan B; Singh B
Curr Comput Aided Drug Des; 2024; 20(5):697-710. PubMed ID: 37711101
[TBL] [Abstract][Full Text] [Related]
5. Computer Aided Drug Design for Multi-Target Drug Design: SAR /QSAR, Molecular Docking and Pharmacophore Methods.
Abdolmaleki A; Ghasemi JB; Ghasemi F
Curr Drug Targets; 2017; 18(5):556-575. PubMed ID: 26721410
[TBL] [Abstract][Full Text] [Related]
6. Importance of molecular computer modeling in anticancer drug development.
Geromichalos GD
J BUON; 2007 Sep; 12 Suppl 1():S101-18. PubMed ID: 17935268
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. In silico approaches to identify novel myeloid cell leukemia-1 (Mcl-1) inhibitors for treatment of cancer.
Ren JX; Li CP; Zhou XL; Cao XS; Xie Y
J Biomol Struct Dyn; 2018 Jul; 36(9):2424-2435. PubMed ID: 28714799
[TBL] [Abstract][Full Text] [Related]
9. Identification of Essential 2D and 3D Chemical Features for Discovery of the Novel Tubulin Polymerization Inhibitors.
Azimi F; Ghasemi JB; Saghaei L; Hassanzadeh F; Mahdavi M; Sadeghi-Aliabadi H; Scotti MT; Scotti L
Curr Top Med Chem; 2019; 19(13):1092-1120. PubMed ID: 31109275
[TBL] [Abstract][Full Text] [Related]
10. Predictive QSAR modeling workflow, model applicability domains, and virtual screening.
Tropsha A; Golbraikh A
Curr Pharm Des; 2007; 13(34):3494-504. PubMed ID: 18220786
[TBL] [Abstract][Full Text] [Related]
11. Computational Studies in Drug Design Against Cancer.
De B; Bhandari K; Mendonça FJB; Scotti MT; Scotti L
Anticancer Agents Med Chem; 2019; 19(5):587-591. PubMed ID: 30207247
[TBL] [Abstract][Full Text] [Related]
12. Quantitative structure-activity relationship: promising advances in drug discovery platforms.
Wang T; Wu MB; Lin JP; Yang LR
Expert Opin Drug Discov; 2015 Dec; 10(12):1283-300. PubMed ID: 26358617
[TBL] [Abstract][Full Text] [Related]
13. Pharmacophore Based 3D-QSAR, Virtual Screening and Docking Studies on Novel Series of HDAC Inhibitors with Thiophen Linker as Anticancer Agents.
Patel P; Singh A; Patel VK; Jain DK; Veerasamy R; Rajak H
Comb Chem High Throughput Screen; 2016; 19(9):735-751. PubMed ID: 27487787
[TBL] [Abstract][Full Text] [Related]
14. Role of computer-aided drug design in modern drug discovery.
Macalino SJ; Gosu V; Hong S; Choi S
Arch Pharm Res; 2015 Sep; 38(9):1686-701. PubMed ID: 26208641
[TBL] [Abstract][Full Text] [Related]
15. Virtual screening strategies: recent advances in the identification and design of anti-cancer agents.
Kumar V; Krishna S; Siddiqi MI
Methods; 2015 Jan; 71():64-70. PubMed ID: 25171960
[TBL] [Abstract][Full Text] [Related]
16. Virtual screening approaches for the identification of non-lipid autotaxin inhibitors.
Parrill AL; Echols U; Nguyen T; Pham TC; Hoeglund A; Baker DL
Bioorg Med Chem; 2008 Feb; 16(4):1784-95. PubMed ID: 18036821
[TBL] [Abstract][Full Text] [Related]
17. Ligand-based virtual screening and in silico design of new antimalarial compounds using nonstochastic and stochastic total and atom-type quadratic maps.
Marrero-Ponce Y; Iyarreta-Veitía M; Montero-Torres A; Romero-Zaldivar C; Brandt CA; Avila PE; Kirchgatter K; Machado Y
J Chem Inf Model; 2005; 45(4):1082-100. PubMed ID: 16045304
[TBL] [Abstract][Full Text] [Related]
18. Epidermal growth factor receptor (EGFR) structure-based bioactive pharmacophore models for identifying next-generation inhibitors against clinically relevant EGFR mutations.
Panicker PS; Melge AR; Biswas L; Keechilat P; Mohan CG
Chem Biol Drug Des; 2017 Oct; 90(4):629-636. PubMed ID: 28303669
[TBL] [Abstract][Full Text] [Related]
19. Modern Computational Strategies for Designing Drugs to Curb Human Diseases: A Prospect.
Dar KB; Bhat AH; Amin S; Hamid R; Anees S; Anjum S; Reshi BA; Zargar MA; Masood A; Ganie SA
Curr Top Med Chem; 2018; 18(31):2702-2719. PubMed ID: 30659543
[TBL] [Abstract][Full Text] [Related]
20. Virtual screening in lead discovery and optimization.
Jain AN
Curr Opin Drug Discov Devel; 2004 Jul; 7(4):396-403. PubMed ID: 15338948
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
