AI Screens 11.5 Million Compounds to Find New Depression Drug Candidates
Researchers combined LightGBM, Random Forest, and XGBoost models with docking and molecular dynamics simulations to identify three novel serotonin transporter ...
Researchers combined LightGBM, Random Forest, and XGBoost models with docking and molecular dynamics simulations to identify three novel serotonin transporter ...
A structure-guided screen of nearly 70,000 natural product-like compounds has produced STOCK1N-86169, a new low-micromolar inhibitor of the SARS-CoV-2 main ...
A computational screening pipeline identified compound H34 as a promising dual inhibitor of acetylcholinesterase and monoacylglycerol lipase for Alzheimer's disease ...
Researchers used virtual drug repurposing to identify FDA-approved antibiotics Carbenicillin and Ceforanide as inhibitors of the β-catenin/Tcf4 interaction, showing anti-proliferative ...
An integrated computational and animal study shows that the soy isoflavone genistein targets five key genes to simultaneously lower blood ...
Researchers in Hyderabad report an in silico fragment-based pipeline that grows small-molecule hits into the non-conserved S1′ pocket of MMP-9, ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine