AI, automation and novel assays accelerate the hunt for new medicines
Volume 43 of SLAS Discovery presents AI-guided screening, automated platforms and new cell-based assays that accelerate drug discovery across infectious ...
Volume 43 of SLAS Discovery presents AI-guided screening, automated platforms and new cell-based assays that accelerate drug discovery across infectious ...
Adding pyridine to a Zn-ProPhenol-catalyzed hydrophosphineization of chromones reverses product chirality by shifting the catalyst between dimer and monomer forms, ...
A comprehensive literature review reveals that fungal endophytes residing within medicinal Apiaceae plants produce structurally diverse secondary metabolites with significant ...
Researchers have developed GraphPepTox, a geometric deep learning framework that models spatial residue relationships to improve peptide toxicity prediction.
A structure-based molecular docking study evaluated nine phytochemicals from Siddha-associated medicinal plants against the SARS-CoV-2 main protease, identifying distinct polar ...
A new review argues that machine learning can speed the search for schistosomiasis drugs only if paired with standardized, high-throughput ...
A systematic review of 57 studies finds that AI-enabled Pharma 4.0 tools after COVID-19 concentrated on early-stage drug discovery metrics, ...
A Pseudomonas aeruginosa strain isolated from Cassia fistula rhizosphere soil produced metabolites that showed antibacterial activity against Salmonella Typhi in ...
A computational study identified five natural compounds with strong predicted binding to the Rv1509-encoded DNA methyltransferase of Mycobacterium tuberculosis, supported ...
A computational pipeline filtered about 1,500 animal-derived antimicrobial peptides down to three candidates that dock strongly against the breast cancer ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine