297 related articles for article (PubMed ID: 37241785)
1. Pharmacophore-Based Virtual Screening and In-Silico Explorations of Biomolecules (Curcumin Derivatives) of
Ejaz SA; Aziz M; Fawzy Ramadan M; Fayyaz A; Bilal MS
Molecules; 2023 May; 28(10):. PubMed ID: 37241785
[TBL] [Abstract][Full Text] [Related]
2. Computational Investigation of 1, 3, 4 Oxadiazole Derivatives as Lead Inhibitors of VEGFR 2 in Comparison with EGFR: Density Functional Theory, Molecular Docking and Molecular Dynamics Simulation Studies.
Bilal MS; Ejaz SA; Zargar S; Akhtar N; Wani TA; Riaz N; Aborode AT; Siddique F; Altwaijry N; Alkahtani HM; Umar HI
Biomolecules; 2022 Nov; 12(11):. PubMed ID: 36358960
[TBL] [Abstract][Full Text] [Related]
3. Identification of HER2 inhibitors from curcumin derivatives using combination of
Saibu OA; Singh G; Olugbodi SA; Oluwafemi AT; Ajayi TM; Hammed SO; Oladipo OO; Odunitan TT; Omoboyowa DA
J Biomol Struct Dyn; 2023; 41(21):12328-12337. PubMed ID: 36752338
[TBL] [Abstract][Full Text] [Related]
4. Molecular dynamics guided insight, binding free energy calculations and pharmacophore-based virtual screening for the identification of potential VEGFR2 inhibitors.
Rathi E; Kumar A; Kini SG
J Recept Signal Transduct Res; 2019; 39(5-6):415-433. PubMed ID: 31755336
[TBL] [Abstract][Full Text] [Related]
5. Structure-based pharmacophore mapping and virtual screening of natural products to identify polypharmacological inhibitor against c-MET/EGFR/VEGFR-2.
Varma DA; Singh M; Wakode S; Dinesh NE; Vinaik S; Asthana S; Tiwari M
J Biomol Struct Dyn; 2023 Apr; 41(7):2956-2970. PubMed ID: 35196966
[TBL] [Abstract][Full Text] [Related]
6. Exploration of New and Potent Lead Molecules Against CAAX Prenyl Protease I of Leishmania donovani Through Pharmacophore Based Virtual Screening Approach.
Prabhu SV; Tiwari K; Suryanarayanan V; Dubey VK; Singh SK
Comb Chem High Throughput Screen; 2017; 20(3):255-271. PubMed ID: 28116998
[TBL] [Abstract][Full Text] [Related]
7. Pharmacophore based virtual screening for identification of effective inhibitors to combat HPV 16 E6 driven cervical cancer.
Mohan A; Krishnamoorthy S; Sabanayagam R; Schwenk G; Feng E; Ji HF; Muthusami S
Eur J Pharmacol; 2023 Oct; 957():175961. PubMed ID: 37549730
[TBL] [Abstract][Full Text] [Related]
8. Quantitative structure activity relationship and molecular simulations for the exploration of natural potent VEGFR-2 inhibitors: an
Sharma N; Sharma M; Rahman QI; Akhtar S; Muddassir M
J Biomol Struct Dyn; 2021 May; 39(8):2806-2823. PubMed ID: 32363995
[TBL] [Abstract][Full Text] [Related]
9. Discovery of novel VEGFR2-TK inhibitors by phthalimide pharmacophore based virtual screening, molecular docking, MD simulation and DFT.
Matore BW; Roy PP; Singh J
J Biomol Struct Dyn; 2023; 41(22):13056-13077. PubMed ID: 36775656
[TBL] [Abstract][Full Text] [Related]
10. Ligand-Based Pharmacophore Modeling, Molecular Docking, and Molecular Dynamic Studies of Dual Tyrosine Kinase Inhibitor of EGFR and VEGFR2.
Sangande F; Julianti E; Tjahjono DH
Int J Mol Sci; 2020 Oct; 21(20):. PubMed ID: 33096664
[TBL] [Abstract][Full Text] [Related]
11. Identification of Novel EGFR Inhibitors for the Targeted Therapy of Colorectal Cancer Using Pharmacophore Modelling, Docking, Molecular Dynamic Simulation and Biological Activity Prediction.
Krishnan K A; Valavi SG; Joy A
Anticancer Agents Med Chem; 2024; 24(4):263-279. PubMed ID: 38173208
[TBL] [Abstract][Full Text] [Related]
12. Pharmacophore-Based Virtual Screening, Quantum Mechanics Calculations, and Molecular Dynamics Simulation Approaches Identified Potential Natural Antiviral Drug Candidates against MERS-CoV S1-NTD.
Bouback TA; Pokhrel S; Albeshri A; Aljohani AM; Samad A; Alam R; Hossen MS; Al-Ghamdi K; Talukder MEK; Ahammad F; Qadri I; Simal-Gandara J
Molecules; 2021 Aug; 26(16):. PubMed ID: 34443556
[TBL] [Abstract][Full Text] [Related]
13. Molecular dynamics-based insight of VEGFR-2 kinase domain: a combined study of pharmacophore modeling and molecular docking and dynamics.
Parves MR; Riza YM; Alam S; Jaman S
J Mol Model; 2022 Dec; 29(1):17. PubMed ID: 36550239
[TBL] [Abstract][Full Text] [Related]
14. Potential inhibitors of methionine aminopeptidase type II identified via structure-based pharmacophore modeling.
Albayati S; Uba AI; Yelekçi K
Mol Divers; 2022 Apr; 26(2):1005-1016. PubMed ID: 33846894
[TBL] [Abstract][Full Text] [Related]
15. Identification of RdRp inhibitors against SARS-CoV-2 through E-pharmacophore-based virtual screening, molecular docking and MD simulations approaches.
Rehman HM; Sajjad M; Ali MA; Gul R; Naveed M; Aslam MS; Shinwari K; Bhinder MA; Ghani MU; Saleem M; Rather MA; Ahmad I; Amin A
Int J Biol Macromol; 2023 May; 237():124169. PubMed ID: 36990409
[TBL] [Abstract][Full Text] [Related]
16. Pharmacophore-based virtual screening of ZINC database, molecular modeling and designing new derivatives as potential HDAC6 inhibitors.
Poonia P; Sharma M; Jha P; Chopra M
Mol Divers; 2023 Oct; 27(5):2053-2071. PubMed ID: 36214962
[TBL] [Abstract][Full Text] [Related]
17. Exploration of Novel PDEδ Inhibitor Based on Pharmacophore and Molecular Docking against KRAS Mutant in Colorectal Cancer.
Mouhcine M; Kadil Y; Rahmoune I; Filali H
Curr Drug Discov Technol; 2023; 20(4):e160423215830. PubMed ID: 37066770
[TBL] [Abstract][Full Text] [Related]
18. Identification of Four New Chemical Series of Small Drug-Like Natural Products as Potential Neuropilin-1 Inhibitors by Structure-Based Virtual Screening: Pharmacophore-Based Molecular Docking and Dynamics Simulation.
Sabki A; Khelifi L; Kameli A; Baali S
Chem Biodivers; 2023 Mar; 20(3):e202200933. PubMed ID: 36799050
[TBL] [Abstract][Full Text] [Related]
19. 3D-QSAR pharmacophore modelling, virtual screening and docking studies for lead discovery of a novel scaffold for VEGFR 2 inhibitors: Design, synthesis and biological evaluation.
Sobhy MK; Mowafy S; Lasheen DS; Farag NA; Abouzid KAM
Bioorg Chem; 2019 Aug; 89():102988. PubMed ID: 31146197
[TBL] [Abstract][Full Text] [Related]
20. Investigation of the New Inhibitors by Sulfadiazine and Modified Derivatives of α-D-glucopyranoside for White Spot Syndrome Virus Disease of Shrimp by In Silico: Quantum Calculations, Molecular Docking, ADMET and Molecular Dynamics Study.
Kumer A; Chakma U; Rana MM; Chandro A; Akash S; Elseehy MM; Albogami S; El-Shehawi AM
Molecules; 2022 Jun; 27(12):. PubMed ID: 35744817
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]