Experimental and modelling studies on antifungal compounds
Doble Mukesh, Kumar K.
doaj +1 more source
A case study of the application of AI to early stage drug discovery. [PDF]
Abdel-Rehim A, Soldatova LN, King RD.
europepmc +1 more source
Machine Learning- and AI-Driven QSAR Models for the Discovery of Novel Potential Fungicides: FAPI (Fungicide Targeting Acid Phosphatase Inhibition). [PDF]
Gálvez-Llompart M +6 more
europepmc +1 more source
Coumarin-1,2,4-Triazole hybrids as potential agents against Brassicogethes aeneus (Fabricius 1775). [PDF]
Šubarić D +7 more
europepmc +1 more source
Genotoxicity risk assessment of a 7-hydroxymitragynine-enriched Kratom preparation: An integrated in silico and in vitro approach. [PDF]
Harnkit N +7 more
europepmc +1 more source
In Silico Hazard Assessment of Ototoxicants Through Machine Learning and Computational Systems Biology. [PDF]
Luan S, Ji C, Zarus GM, Reh CM, Ruiz P.
europepmc +1 more source
Computational modeling for rational design of novel phenoxy tacrine derivatives targeting Alzheimer's disease. [PDF]
El Fadili M +5 more
europepmc +1 more source
Next-Generation Artificial Intelligence for ADME Prediction in Drug Discovery: From Small Molecules to Biologics. [PDF]
Tanihata S, Iwata H.
europepmc +1 more source
Designing Potent HIV‑1 Protease Inhibitors Using Machine Learning and QSAR Approaches. [PDF]
Ali S +6 more
europepmc +1 more source

