Control Theory Offers a New Mathematical Map for Safer Aging Drug Discovery
A new control theory framework published in Aging redefines aging as a progressive loss of safe controllability and proposes safety-first ...
A new control theory framework published in Aging redefines aging as a progressive loss of safe controllability and proposes safety-first ...
Machine learning is accelerating target identification, toxicity prediction and drug repurposing, but researchers insist algorithmic discoveries still demand rigorous experimental ...
A new review argues that cytochrome P450 inhibition, long treated as a drug-discovery liability, can be a powerful therapeutic strategy ...
Researchers have computationally designed ten novel indolinone-based anticancer candidates and prioritized two, Pred 9 and Pred 10, as potential MEK1 ...
Researchers screened more than 87,000 compounds against the essential interaction between the tuberculosis bacterium's RNA polymerase and the transcription factor ...
Chemists have used a mild silicon catalyst to rapidly build dihydropyrimidinethione compounds that inhibit the cholinesterase enzymes implicated in Alzheimer's ...
Enhanced sampling molecular dynamics simulations are revealing the hidden intermediate states, allosteric networks, and kinetic pathways that static structures cannot ...
BMC Pharmacology and Toxicology is recruiting new Editorial Board Members to handle rising submission volumes while maintaining open access peer ...
A new systematic review and meta-analysis of 23 studies finds that machine learning models for peptide–target interaction prediction achieve strong ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine