374 related articles for article (PubMed ID: 27401212)
21. Structure-Based Design and in Silico Screening of Virtual Combinatorial Library of Benzamides Inhibiting 2-trans Enoyl-Acyl Carrier Protein Reductase of
Kouman KC; Keita M; Kre N'Guessan R; Owono Owono LC; Megnassan E; Frecer V; Miertus S
Int J Mol Sci; 2019 Sep; 20(19):. PubMed ID: 31554227
[TBL] [Abstract][Full Text] [Related]
22. Pharmacophore modeling, 3D-QSAR and docking study of 2-phenylpyrimidine analogues as selective PDE4B inhibitors.
Tripuraneni NS; Azam MA
J Theor Biol; 2016 Apr; 394():117-126. PubMed ID: 26804643
[TBL] [Abstract][Full Text] [Related]
23.
Vaghefinezhad N; Farsani SF; Gharaghani S
Curr Drug Discov Technol; 2021; 18(1):139-157. PubMed ID: 31721705
[TBL] [Abstract][Full Text] [Related]
24. A Combined Pharmacophore Modeling, 3D QSAR and Virtual Screening Studies on Imidazopyridines as B-Raf Inhibitors.
Xie H; Chen L; Zhang J; Xie X; Qiu K; Fu J
Int J Mol Sci; 2015 May; 16(6):12307-23. PubMed ID: 26035757
[TBL] [Abstract][Full Text] [Related]
25. 3D QSAR, pharmacophore and molecular docking studies of known inhibitors and designing of novel inhibitors for M18 aspartyl aminopeptidase of Plasmodium falciparum.
Kumari M; Chandra S; Tiwari N; Subbarao N
BMC Struct Biol; 2016 Aug; 16():12. PubMed ID: 27534744
[TBL] [Abstract][Full Text] [Related]
26. Pharmacophore modeling, 3D-QSAR, and docking study of pyrozolo[1,5-a]pyridine/4,4-dimethylpyrazolone analogues as PDE4 selective inhibitors.
Tripuraneni NS; Azam MA
J Mol Model; 2015 Nov; 21(11):289. PubMed ID: 26499496
[TBL] [Abstract][Full Text] [Related]
27. Elucidation of chemosensitization effect of acridones in cancer cell lines: Combined pharmacophore modeling, 3D QSAR, and molecular dynamics studies.
Gade DR; Makkapati A; Yarlagadda RB; Peters GJ; Sastry BS; Rajendra Prasad VVS
Comput Biol Chem; 2018 Jun; 74():63-75. PubMed ID: 29547875
[TBL] [Abstract][Full Text] [Related]
28. Ligand-based pharmacophore modelling and virtual screening for the identification of amyloid-beta diagnostic molecules.
Marondedze EF; Govender KK; Govender PP
J Mol Graph Model; 2020 Dec; 101():107711. PubMed ID: 32898834
[TBL] [Abstract][Full Text] [Related]
29. Pharmacophore, 3D-QSAR Models and Dynamic Simulation of 1,4-Benzothiazines for Colorectal Cancer Treatment.
Rai A; Raj V; Aboumanei MH; Singh AK; Keshari AK; Verma SP; Saha S
Comb Chem High Throughput Screen; 2017; 20(8):658-674. PubMed ID: 28486913
[TBL] [Abstract][Full Text] [Related]
30. Validation of TZD Scaffold as Potential ARIs: Pharmacophore Modeling, Atom-based 3D QSAR and Docking Studies.
Dahiya L; Mahapatra MK; Kaur R; Kumar V; Kumar M
Comb Chem High Throughput Screen; 2017; 20(4):310-320. PubMed ID: 28302016
[TBL] [Abstract][Full Text] [Related]
31. QSAR modeling, pharmacophore-based virtual screening, and ensemble docking insights into predicting potential epigallocatechin gallate (EGCG) analogs against epidermal growth factor receptor.
Bommu UD; Konidala KK; Pabbaraju N; Yeguvapalli S
J Recept Signal Transduct Res; 2019 Feb; 39(1):18-27. PubMed ID: 31223050
[TBL] [Abstract][Full Text] [Related]
32. Discover potential inhibitors for PFKFB3 using 3D-QSAR, virtual screening, molecular docking and molecular dynamics simulation.
Bao Y; Zhou L; Dai D; Zhu X; Hu Y; Qiu Y
J Recept Signal Transduct Res; 2018; 38(5-6):413-431. PubMed ID: 30822195
[TBL] [Abstract][Full Text] [Related]
33. Prediction of Novel Anoctamin1 (ANO1) Inhibitors Using 3D-QSAR Pharmacophore Modeling and Molecular Docking.
Lee YH; Yi GS
Int J Mol Sci; 2018 Oct; 19(10):. PubMed ID: 30336555
[TBL] [Abstract][Full Text] [Related]
34. Identifying Novel ATX Inhibitors via Combinatory Virtual Screening Using Crystallography-Derived Pharmacophore Modelling, Docking Study, and QSAR Analysis.
Ren JX; Zhang RT; Zhang H
Molecules; 2020 Mar; 25(5):. PubMed ID: 32131468
[TBL] [Abstract][Full Text] [Related]
35. Pharmacophore based 3D-QSAR modeling, virtual screening and docking for identification of potential inhibitors of β-secretase.
Palakurti R; Vadrevu R
Comput Biol Chem; 2017 Jun; 68():107-117. PubMed ID: 28288354
[TBL] [Abstract][Full Text] [Related]
36. Virtual screening of B-Raf kinase inhibitors: A combination of pharmacophore modelling, molecular docking, 3D-QSAR model and binding free energy calculation studies.
Zhang W; Qiu KX; Yu F; Xie XG; Zhang SQ; Chen YJ; Xie HD
Comput Biol Chem; 2017 Oct; 70():186-190. PubMed ID: 28892749
[TBL] [Abstract][Full Text] [Related]
37. Pharmacophore modeling, 3D-QSAR, and in silico ADME prediction of N-pyridyl and pyrimidine benzamides as potent antiepileptic agents.
Malik R; Mehta P; Srivastava S; Choudhary BS; Sharma M
J Recept Signal Transduct Res; 2017 Jun; 37(3):259-266. PubMed ID: 27607834
[TBL] [Abstract][Full Text] [Related]
38. Identification of Influenza PA
Zhang C; Xiang J; Xie Q; Zhao J; Zhang H; Huang E; Shaw P; Liu X; Hu C
Molecules; 2021 Nov; 26(23):. PubMed ID: 34885710
[TBL] [Abstract][Full Text] [Related]
39. Discovery of Camptothecin Based Topoisomerase I Inhibitors: Identification Using an Atom Based 3D-QSAR, Pharmacophore Modeling, Virtual Screening and Molecular Docking Approach.
Dev S; Dhaneshwar SR; Mathew B
Comb Chem High Throughput Screen; 2016; 19(9):752-763. PubMed ID: 27515040
[TBL] [Abstract][Full Text] [Related]
40. Identification of Potent Small-Molecule PCSK9 Inhibitors Based on Quantitative Structure-Activity Relationship, Pharmacophore Modeling, and Molecular Docking Procedure.
Mahmoudi A; Butler AE; Banach M; Jamialahmadi T; Sahebkar A
Curr Probl Cardiol; 2023 Jun; 48(6):101660. PubMed ID: 36841313
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
