Cross-Database Characterization of Flavonoids and Phenolic Acids: Integrating Drug-likeness Metrics, Molecular Interactions, and Dietary Sources [PDF]
Background: Flavonoids and phenolic acids are recognized for their diverse therapeutic potential, yet their translation into clinical applications remains limited by varying bioavailability and fragmented characterization across databases.
Christmas Maria Vidal de Barros Rêgo +6 more
doaj +3 more sources
Computational design of CDK1 inhibitors with enhanced target affinity and drug-likeness using deep-learning framework [PDF]
Cyclin Dependent Kinase 1 (CDK1) plays a crucial role in cell cycle regulation, and dysregulation of its activity has been implicated in various cancers.
Zuokun Lu +4 more
doaj +3 more sources
De novo covalent drug generation with enhanced drug-likeness and safety [PDF]
Covalent drugs have long played an essential role in therapeutics, yet computational design approaches remain largely confined to virtual screening of existing libraries.
Wenbo Zhang +6 more
doaj +2 more sources
Drug repositioning for enzyme modulator based on human metabolite-likeness
Background Recently, the metabolite-likeness of the drug space has emerged and has opened a new possibility for exploring human metabolite-like candidates in drug discovery.
Yoon Hyeok Lee +4 more
doaj +2 more sources
Ethyl 4-oxo-2-(phenylamino)-4,5-dihydrothiophene-3-carboxylate: crystal structure, computational analysis, and drug likeness studies [PDF]
The reaction of ethyl 4-chloro-3-oxobutanoate with phenyl isothiocyanate in sodium ethoxide afforded thiophene derivative 4. Single-crystal X-ray diffraction showed space group P-1 with one independent molecule in the asymmetric unit.
Abdullatif Bin Muhsinah +3 more
doaj +2 more sources
Prediction of Drug-Likeness Using Deep Autoencoder Neural Networks [PDF]
Due to diverse reasons, most drug candidates cannot eventually become marketed drugs. Developing reliable computational methods for prediction of drug-likeness of candidate compounds is of vital importance to improve the success rate of drug discovery ...
Qiwan Hu +4 more
doaj +2 more sources
Recent studies suggest RNAs act as promising drug targets. However, limited development has been achieved in detecting RNA–ligand interactions.
Cong Fan +4 more
doaj +2 more sources
Drug-likeness scoring based on unsupervised learning
A new quantification method of drug-likeness based on unsupervised learning. The method only uses drug molecules as training set without any non-drug-like molecules.
Kyunghoon Lee +4 more
openaire +4 more sources
DBPP-Predictor: a novel strategy for prediction of chemical drug-likeness based on property profiles [PDF]
Evaluation of chemical drug-likeness is essential for the discovery of high-quality drug candidates while avoiding unwarranted biological and clinical trial costs.
Yaxin Gu +5 more
doaj +2 more sources
Malaria is a killer disease caused by Plasmodium falciparum and is responsible for over a million death annually. Chloroquine, quinine, pyrimethamine, proguanil, artemisinin, atovaquone, and mefloquine are different kinds of drugs employed to treat the ...
Zakari Ya'u Ibrahim +3 more
doaj +3 more sources

