New benchmark exposes persistent weaknesses in AI molecular design tools
A new benchmark called MolGenBench evaluated 17 generative models for structure-based drug design and found persistent weaknesses in producing reliable ...
A new benchmark called MolGenBench evaluated 17 generative models for structure-based drug design and found persistent weaknesses in producing reliable ...
The work, led by Roney Miah and colleagues, is entirely predictive: no compounds were extracted from the plant and no ...
A new open access review in Clinical Phytoscience compiles evidence that numerous medicinal plants and their natural chemical constituents can ...
A computational study generated nearly 16,000 nirmatrelvir analogues and a similarity-based binding score to prioritize candidate inhibitors of the MERS-CoV ...
A new review argues that endophytic microbes living inside medicinal plants produce compounds that can kill multidrug-resistant pathogens, though toxicity ...
Researchers disrupted an O-methyltransferase gene in the kinanthraquinone biosynthetic cluster and isolated a new demethylated analogue whose activities reveal how ...
Interviews with eight UK pharmaceutical industry employees found graduates highly regarded for enthusiasm and positivity, but often lacking core pharmacology ...
A dual-ligand nickel catalyst enables stereoselective synthesis of thermodynamically disfavoured cyclohexane isomers with high kinetic stereocontrol.
A new review argues that virtual screening and AI-driven modeling have expanded the search for anti-tuberculosis drugs, but persistent mismatches ...
A Phase 1 trial presented at ESMO 2026 reports a 40% objective response rate at 130 mg for ISM6331, a ...
Researchers at HZI and HIPS activated silent bacterial genes to discover myxoglucamides, unusual natural products that bind the cancer-associated enzyme ...
Preclinical assays found that NU7441 displaced BRD4 from acetylated chromatin and impaired homologous recombination and non-homologous end joining in ovarian ...
A Stanford-developed virtual biotech used 37,000 AI agents to analyze 50,000 trials, identify markers linked to drug success and design ...
A machine-learning pipeline identified AML-selective small molecules and implicated glutathione reductase as a vulnerability that can be exploited in laboratory ...
A Cell study found that aging-specialized language models matched or surpassed 16 general-purpose frontier systems on a benchmark spanning clinical ...
Insilico Medicine plans to present first human Phase 1 data for the AI-designed pan-TEAD inhibitor ISM6331 in mesothelioma and other ...
ARDD 2026, scheduled for October 1–3 at Harvard University, will convene scientists, pharmaceutical executives, regulators, investors and biotechnology leaders for ...
A selective, brain-penetrant CD38 inhibitor raised NAD+ levels in rodent brain, protected dopaminergic neurons from alpha-synuclein toxicity in vitro, and ...
A UCLA artificial intelligence platform paired with three-dimensional tumor testing identified berberine and enzalutamide as a synergistic combination in four ...
Newly synthesized fluorinated azabicyclo–benzohydrazone compounds showed stronger-than-standard antibacterial and antifungal activity in laboratory assays, with halogen substitution emerging as the ...
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