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Cited by in F6Publishing
For: Kong W, Wang W, An J. Prediction of 5-hydroxytryptamine transporter inhibitors based on machine learning. Comput Biol Chem 2020;87:107303. [PMID: 32563857 DOI: 10.1016/j.compbiolchem.2020.107303] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Luo Y, Wang P, Mou M, Zheng H, Hong J, Tao L, Zhu F. A novel strategy for designing the magic shotguns for distantly related target pairs. Brief Bioinform 2023;24:bbac621. [PMID: 36631399 DOI: 10.1093/bib/bbac621] [Reference Citation Analysis]
2 Kong W, Huang W, Peng C, Zhang B, Duan G, Ma W, Huang Z. Multiple machine learning methods aided virtual screening of Na(V) 1.5 inhibitors. J Cell Mol Med 2023;27:266-76. [PMID: 36573431 DOI: 10.1111/jcmm.17652] [Reference Citation Analysis]
3 de Oliveira ECL, da Costa KS, Taube PS, Lima AH, Junior CDSDS. Biological Membrane-Penetrating Peptides: Computational Prediction and Applications. Front Cell Infect Microbiol 2022;12:838259. [DOI: 10.3389/fcimb.2022.838259] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
4 Lee KH, Fant AD, Guo J, Guan A, Jung J, Kudaibergenova M, Miranda WE, Ku T, Cao J, Wacker S, Duff HJ, Newman AH, Noskov SY, Shi L. Toward Reducing hERG Affinities for DAT Inhibitors with a Combined Machine Learning and Molecular Modeling Approach. J Chem Inf Model 2021;61:4266-79. [PMID: 34420294 DOI: 10.1021/acs.jcim.1c00856] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
5 Santana K, do Nascimento LD, Lima E Lima A, Damasceno V, Nahum C, Braga RC, Lameira J. Applications of Virtual Screening in Bioprospecting: Facts, Shifts, and Perspectives to Explore the Chemo-Structural Diversity of Natural Products. Front Chem 2021;9:662688. [PMID: 33996755 DOI: 10.3389/fchem.2021.662688] [Cited by in Crossref: 15] [Cited by in F6Publishing: 18] [Article Influence: 7.5] [Reference Citation Analysis]
6 de Oliveira ECL, Santana K, Josino L, Lima E Lima AH, de Souza de Sales Júnior C. Predicting cell-penetrating peptides using machine learning algorithms and navigating in their chemical space. Sci Rep 2021;11:7628. [PMID: 33828175 DOI: 10.1038/s41598-021-87134-w] [Cited by in Crossref: 18] [Cited by in F6Publishing: 19] [Article Influence: 9.0] [Reference Citation Analysis]