Computational Study Identifies Quinazolinone Derivatives as HDAC8 Leads
Cancer remains one of the most significant challenges in modern medicine, characterized by uncontrolled cellular proliferation and complex molecular heterogeneity. ...
Cancer remains one of the most significant challenges in modern medicine, characterized by uncontrolled cellular proliferation and complex molecular heterogeneity. ...
A new computational study suggests that next-generation CRBN E3 ligase modulators, particularly CC-885, may hold the key to overcoming mutation-driven ...
Machine learning is accelerating target identification, toxicity prediction and drug repurposing, but researchers insist algorithmic discoveries still demand rigorous experimental ...
Researchers have computationally designed ten novel indolinone-based anticancer candidates and prioritized two, Pred 9 and Pred 10, as potential MEK1 ...
Computational screening of the Pan-African Natural Products Library identified two compounds, 152CSB2 and Thix6g, as promising selective COX-2 inhibitors with ...
Indian researchers used bioisosteric design, docking, ADMET screening, molecular dynamics and DFT calculations to identify two hybrid molecules that bind ...
Chemists have used an eco-friendly bismuth catalyst to synthesize pyridopyrimidine compounds in high yields, with laboratory tests and extensive computer ...
A new computational study in Heliyon used pharmacophore modeling of marine-derived compounds to design synthetic gamma-secretase modulators that outperformed a ...
A reinforcement learning model that designs synthetically accessible molecules from scratch, combined with expert medicinal chemistry, produced a tyrosinase inhibitor ...
Drug discovery is getting a new computational assist from an artificial-intelligence model designed to predict how tightly a drug molecule ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine