BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Lee K, Yang A, Lin Y, Reker D, Bernardes GJ, Rodrigues T. Combating small-molecule aggregation with machine learning. Cell Reports Physical Science 2021;2:100573. [DOI: 10.1016/j.xcrp.2021.100573] [Cited by in Crossref: 1] [Cited by in F6Publishing: 6] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Tamtaji M, Kazemeini M. Enhanced singlet oxygen production under nanoconfinement using silica nanocomposites towards improving the photooxygenation’s conversion. J Nanopart Res 2022;24. [DOI: 10.1007/s11051-022-05553-w] [Reference Citation Analysis]
2 Rodrigues T. A special issue on artificial intelligence for drug discovery. Bioorg Med Chem 2022;:116939. [PMID: 35853808 DOI: 10.1016/j.bmc.2022.116939] [Reference Citation Analysis]
3 Bender A, Schneider N, Segler M, Patrick Walters W, Engkvist O, Rodrigues T. Evaluation guidelines for machine learning tools in the chemical sciences. Nat Rev Chem. [DOI: 10.1038/s41570-022-00391-9] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
4 Molina C, Ait-Ouarab L, Minoux H. Isometric Stratified Ensembles: A Partial and Incremental Adaptive Applicability Domain and Consensus-Based Classification Strategy for Highly Imbalanced Data Sets with Application to Colloidal Aggregation. J Chem Inf Model 2022. [PMID: 35357194 DOI: 10.1021/acs.jcim.2c00293] [Reference Citation Analysis]
5 Xia Z, Karpov P, Popowicz G, Sattler M, Tetko IV. What Features of Ligands Are Relevant to the Opening of Cryptic Pockets in Drug Targets? Informatics 2022;9:8. [DOI: 10.3390/informatics9010008] [Reference Citation Analysis]
6 Rodrigues T. Nuisance small molecules under a machine-learning lens. Digital Discovery 2022;1:209-15. [DOI: 10.1039/d2dd00001f] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]