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For: Agamah FE, Mazandu GK, Hassan R, Bope CD, Thomford NE, Ghansah A, Chimusa ER. Computational/in silico methods in drug target and lead prediction. Brief Bioinform 2020;21:1663-75. [PMID: 31711157 DOI: 10.1093/bib/bbz103] [Cited by in Crossref: 17] [Cited by in F6Publishing: 17] [Article Influence: 5.7] [Reference Citation Analysis]
Number Citing Articles
1 Herath HMPD, Taki AC, Rostami A, Jabbar A, Keiser J, Geary TG, Gasser RB. Whole-organism phenotypic screening methods used in early-phase anthelmintic drug discovery. Biotechnol Adv 2022;:107937. [PMID: 35271946 DOI: 10.1016/j.biotechadv.2022.107937] [Reference Citation Analysis]
2 Zhao Q, Zhao H, Zheng K, Wang J. HyperAttentionDTI: improving drug-protein interaction prediction by sequence-based deep learning with attention mechanism. Bioinformatics 2021:btab715. [PMID: 34664614 DOI: 10.1093/bioinformatics/btab715] [Reference Citation Analysis]
3 Ring C, Sipes NS, Hsieh JH, Carberry C, Koval LE, Klaren WD, Harris MA, Auerbach SS, Rager JE. Predictive modeling of biological responses in the rat liver using in vitro Tox21 bioactivity: Benefits from high-throughput toxicokinetics. Comput Toxicol 2021;18:100166. [PMID: 34013136 DOI: 10.1016/j.comtox.2021.100166] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
4 Rampogu S, Lemuel MR, Lee KW. Virtual screening, molecular docking, molecular dynamics simulations and free energy calculations to discover potential DDX3 inhibitors. Advances in Cancer Biology - Metastasis 2022;4:100022. [DOI: 10.1016/j.adcanc.2021.100022] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Zhao BW, You ZH, Hu L, Guo ZH, Wang L, Chen ZH, Wong L. A Novel Method to Predict Drug-Target Interactions Based on Large-Scale Graph Representation Learning. Cancers (Basel) 2021;13:2111. [PMID: 33925568 DOI: 10.3390/cancers13092111] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Razzaghdoust A, Rahmatizadeh S, Mofid B, Muhammadnejad S, Parvin M, Torbati PM, Basiri A. Data-Driven Discovery of Molecular Targets for Antibody-Drug Conjugates in Cancer Treatment. Biomed Res Int 2021;2021:2670573. [PMID: 33490264 DOI: 10.1155/2021/2670573] [Reference Citation Analysis]
7 Gui B, Wang C, Xu X, Li C, Zhao Y, Su L. Identification of active or inactive agonists of tumor suppressor protein based on Tox21 library. Toxicology 2022;:153224. [PMID: 35659517 DOI: 10.1016/j.tox.2022.153224] [Reference Citation Analysis]
8 Shaikh F, Tai HK, Desai N, Siu SWI. LigTMap: ligand and structure-based target identification and activity prediction for small molecular compounds. J Cheminform 2021;13:44. [PMID: 34112240 DOI: 10.1186/s13321-021-00523-1] [Reference Citation Analysis]
9 Xia Y, Li X, Chen X, Lu C, Yu X. Inferring Retinal Degeneration-Related Genes Based on Xgboost. Front Mol Biosci 2022;9:843150. [DOI: 10.3389/fmolb.2022.843150] [Reference Citation Analysis]
10 Patil SM, Martiz RM, Ramu R, Shirahatti PS, Prakash A, Kumar BRP, Kumar N. Evaluation of flavonoids from banana pseudostem and flower (quercetin and catechin) as potent inhibitors of α-glucosidase: An in silico perspective. J Biomol Struct Dyn 2021;:1-15. [PMID: 34488558 DOI: 10.1080/07391102.2021.1971561] [Reference Citation Analysis]
11 Shaker B, Ahmad S, Lee J, Jung C, Na D. In silico methods and tools for drug discovery. Comput Biol Med 2021;137:104851. [PMID: 34520990 DOI: 10.1016/j.compbiomed.2021.104851] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
12 Alov P, Al Sharif M, Aluani D, Chegaev K, Dinic J, Divac Rankov A, Fernandes MX, Fusi F, García-sosa AT, Juvonen R, Kondeva-burdina M, Padrón JM, Pajeva I, Pencheva T, Puerta A, Raunio H, Riganti C, Tsakovska I, Tzankova V, Yordanov Y, Saponara S. A Comprehensive Evaluation of Sdox, a Promising H2S-Releasing Doxorubicin for the Treatment of Chemoresistant Tumors. Front Pharmacol 2022;13:831791. [DOI: 10.3389/fphar.2022.831791] [Reference Citation Analysis]
13 Şahin S. A single-molecule with multiple investigations: Synthesis, characterization, computational methods, inhibitory activity against Alzheimer's disease, toxicity, and ADME studies. Computers in Biology and Medicine 2022;146:105514. [DOI: 10.1016/j.compbiomed.2022.105514] [Reference Citation Analysis]
14 Gallo K, Goede A, Preissner R, Gohlke BO. SuperPred 3.0: drug classification and target prediction-a machine learning approach. Nucleic Acids Res 2022:gkac297. [PMID: 35524552 DOI: 10.1093/nar/gkac297] [Reference Citation Analysis]
15 Luo L, Yang J, Wang C, Wu J, Li Y, Zhang X, Li H, Zhang H, Zhou Y, Lu A, Chen S. Natural products for infectious microbes and diseases: an overview of sources, compounds, and chemical diversities. Sci China Life Sci 2021. [PMID: 34705221 DOI: 10.1007/s11427-020-1959-5] [Reference Citation Analysis]
16 Singh N, Chaput L, Villoutreix BO. Virtual screening web servers: designing chemical probes and drug candidates in the cyberspace. Brief Bioinform 2021;22:1790-818. [PMID: 32187356 DOI: 10.1093/bib/bbaa034] [Cited by in Crossref: 18] [Cited by in F6Publishing: 17] [Article Influence: 9.0] [Reference Citation Analysis]
17 Chen Y, Mathai N, Kirchmair J. Scope of 3D Shape-Based Approaches in Predicting the Macromolecular Targets of Structurally Complex Small Molecules Including Natural Products and Macrocyclic Ligands. J Chem Inf Model 2020;60:2858-75. [PMID: 32368908 DOI: 10.1021/acs.jcim.0c00161] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
18 Zhou J, Li Q, Wu W, Zhang X, Zuo Z, Lu Y, Zhao H, Wang Z. Discovery of Novel Drug Candidates for Alzheimer’s Disease by Molecular Network Modeling. Front Aging Neurosci 2022;14:850217. [DOI: 10.3389/fnagi.2022.850217] [Reference Citation Analysis]
19 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. Pharmacophore-Based Virtual Screening, Quantum Mechanics Calculations, and Molecular Dynamics Simulation Approaches Identified Potential Natural Antiviral Drug Candidates against MERS-CoV S1-NTD. Molecules 2021;26:4961. [PMID: 34443556 DOI: 10.3390/molecules26164961] [Reference Citation Analysis]
20 Zahra NUA, Jamil F, Uddin R. Protein Integrated Network Analysis to Reveal Potential Drug Targets Against Extended Drug-Resistant Mycobacterium tuberculosis XDR1219. Mol Biotechnol 2021. [PMID: 34382159 DOI: 10.1007/s12033-021-00377-w] [Reference Citation Analysis]
21 Wang X, Liu M, Zhang L, Wang Y, Li Y, Lu T. Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach. J Chem Inf Model 2020;60:4603-13. [PMID: 32804486 DOI: 10.1021/acs.jcim.0c00568] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
22 Almalki FA, Abdalla AN, Shawky AM, El Hassab MA, Gouda AM. In Silico Approach Using Free Software to Optimize the Antiproliferative Activity and Predict the Potential Mechanism of Action of Pyrrolizine-Based Schiff Bases. Molecules 2021;26:4002. [PMID: 34209011 DOI: 10.3390/molecules26134002] [Reference Citation Analysis]
23 Mervin LH, Johansson S, Semenova E, Giblin KA, Engkvist O. Uncertainty quantification in drug design. Drug Discov Today 2021;26:474-89. [PMID: 33253918 DOI: 10.1016/j.drudis.2020.11.027] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
24 Agamah FE, Damena D, Skelton M, Ghansah A, Mazandu GK, Chimusa ER. Network-driven analysis of human-Plasmodium falciparum interactome: processes for malaria drug discovery and extracting in silico targets. Malar J 2021;20:421. [PMID: 34702263 DOI: 10.1186/s12936-021-03955-0] [Reference Citation Analysis]
25 Zhang L, Cui M, Chen S. Identification of the Molecular Mechanisms of Peimine in the Treatment of Cough Using Computational Target Fishing. Molecules 2020;25:E1105. [PMID: 32131410 DOI: 10.3390/molecules25051105] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 3.5] [Reference Citation Analysis]
26 Laskar P, Yallapu MM, Chauhan SC. "Tomorrow Never Dies": Recent Advances in Diagnosis, Treatment, and Prevention Modalities against Coronavirus (COVID-19) amid Controversies. Diseases 2020;8:E30. [PMID: 32781617 DOI: 10.3390/diseases8030030] [Cited by in Crossref: 9] [Cited by in F6Publishing: 6] [Article Influence: 4.5] [Reference Citation Analysis]
27 Menezes IO, Scherf JR, Martins AOBPB, Ramos AGB, Quintans JSS, Coutinho HDM, Ribeiro-Filho J, de Menezes IRA. Biological properties of terpinolene evidenced by in silico, in vitro and in vivo studies: A systematic review. Phytomedicine 2021;93:153768. [PMID: 34634744 DOI: 10.1016/j.phymed.2021.153768] [Reference Citation Analysis]