Gogal R, Nessler A, Thiel A, Bernabe H, Corrigan Grove R, Cousineau L
J Chem Phys. 2024; 161(1).
PMID: 38958156
PMC: 11223778.
DOI: 10.1063/5.0214652.
Arvidsson McShane S, Norinder U, Alvarsson J, Ahlberg E, Carlsson L, Spjuth O
J Cheminform. 2024; 16(1):75.
PMID: 38943219
PMC: 11214261.
DOI: 10.1186/s13321-024-00870-9.
Stettin D, Pohnert G
Metabolites. 2024; 14(1).
PMID: 38248813
PMC: 10820034.
DOI: 10.3390/metabo14010010.
Zhao Y, Yin J, Zhang L, Zhang Y, Chen X
Brief Bioinform. 2023; 25(1).
PMID: 38113076
PMC: 10782925.
DOI: 10.1093/bib/bbad445.
Wu X, Cao S, Zou Y, Wu F
PLoS One. 2023; 18(11):e0294772.
PMID: 38019798
PMC: 10686466.
DOI: 10.1371/journal.pone.0294772.
Physicochemical Properties Predict Retention of Antibiotics in Water-in-Oil Droplets.
Ruszczak A, Jankowski P, Vasantham S, Scheler O, Garstecki P
Anal Chem. 2023; 95(2):1574-1581.
PMID: 36598882
PMC: 9850403.
DOI: 10.1021/acs.analchem.2c04644.
MORTAR: a rich client application for in silico molecule fragmentation.
Bansch F, Schaub J, Sevindik B, Behr S, Zander J, Steinbeck C
J Cheminform. 2023; 15(1):1.
PMID: 36593523
PMC: 9809053.
DOI: 10.1186/s13321-022-00674-9.
Scaffold Generator: a Java library implementing molecular scaffold functionalities in the Chemistry Development Kit (CDK).
Schaub J, Zander J, Zielesny A, Steinbeck C
J Cheminform. 2022; 14(1):79.
PMID: 36357931
PMC: 9650898.
DOI: 10.1186/s13321-022-00656-x.
Artificial intelligence and machine-learning approaches in structure and ligand-based discovery of drugs affecting central nervous system.
Gautam V, Gaurav A, Masand N, Lee V, Patil V
Mol Divers. 2022; 27(2):959-985.
PMID: 35819579
DOI: 10.1007/s11030-022-10489-3.
OptNCMiner: a deep learning approach for the discovery of natural compounds modulating disease-specific multi-targets.
Shin S, Oh S, Yoon Park J, Lee K, Yang H
BMC Bioinformatics. 2022; 23(1):218.
PMID: 35672685
PMC: 9175487.
DOI: 10.1186/s12859-022-04752-5.
Increasing the Value of Data Within a Large Pharmaceutical Company Through In Silico Models.
Brigo A, Naga D, Muster W
Methods Mol Biol. 2022; 2425:637-674.
PMID: 35188649
DOI: 10.1007/978-1-0716-1960-5_24.
The role of machine learning method in the synthesis and biological ınvestigation of heterocyclic compounds.
Mermer A
Mol Divers. 2021; 26(3):1875-1892.
PMID: 34669112
DOI: 10.1007/s11030-021-10264-w.
Individual and collective human intelligence in drug design: evaluating the search strategy.
Cincilla G, Masoni S, Blobel J
J Cheminform. 2021; 13(1):80.
PMID: 34635158
PMC: 8507178.
DOI: 10.1186/s13321-021-00556-6.
Web-Based Quantitative Structure-Activity Relationship Resources Facilitate Effective Drug Discovery.
Wang Y, Li J, Shi X, Wang Z, Hao G, Yang G
Top Curr Chem (Cham). 2021; 379(6):37.
PMID: 34554348
DOI: 10.1007/s41061-021-00349-3.
Application of Artificial Neural Networks to Predict the Intrinsic Solubility of Drug-Like Molecules.
Tosca E, Bartolucci R, Magni P
Pharmaceutics. 2021; 13(7).
PMID: 34371792
PMC: 8309152.
DOI: 10.3390/pharmaceutics13071101.
Prediction of Drug-Induced Liver Toxicity Using SVM and Optimal Descriptor Sets.
Jaganathan K, Tayara H, Chong K
Int J Mol Sci. 2021; 22(15).
PMID: 34360838
PMC: 8348336.
DOI: 10.3390/ijms22158073.
Integrated Multi-Class Classification and Prediction of GPCR Allosteric Modulators by Machine Learning Intelligence.
Hou T, Bian Y, McGuire T, Xie X
Biomolecules. 2021; 11(6).
PMID: 34208096
PMC: 8230833.
DOI: 10.3390/biom11060870.
Predicting Drug-Disease Association Based on Ensemble Strategy.
Wang J, Wang W, Yan C, Luo J, Zhang G
Front Genet. 2021; 12:666575.
PMID: 34012464
PMC: 8128144.
DOI: 10.3389/fgene.2021.666575.
Structure Driven Prediction of Chromatographic Retention Times: Applications to Pharmaceutical Analysis.
Szucs R, Brown R, Brunelli C, Heaton J, Hradski J
Int J Mol Sci. 2021; 22(8).
PMID: 33917733
PMC: 8068189.
DOI: 10.3390/ijms22083848.
Molecule Set Comparator (MSC): a CDK-based open rich-client tool for molecule set similarity evaluations.
Rajan K, Hein J, Steinbeck C, Zielesny A
J Cheminform. 2021; 13(1):5.
PMID: 33526050
PMC: 7852119.
DOI: 10.1186/s13321-021-00485-4.