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The strongest binder from a primary screen is not necessarily the best drug starting point. Peptide discovery campaigns should capture molecular architecture, biological context, t...
Sponsored content brought to you by Artificial intelligence is dramatically accelerating early drug discovery. Models can screen chemical space, predict structures, optimize proper...
A team of researchers in China has combined machine learning, molecular docking and molecular dynamics simulations into a single computational pipeline that can sift through tens o...
While many AI companies rely exclusively on public datasets and external academic partnerships to train computational models, running an in-house laboratory allows researchers to p...
Using deep learning, researchers predict tautomeric states - an important foundation for reliable drug design.
The system, designed by Stanford researchers, identified which drugs are more likely to succeed in trials and even proposed a cancer treatment a major drugmaker later landed on too...
by Wenyu Zhang, Yizheng Wang, Yixiao Zhai, Pinglu Zhang, Yijie Ding, Quan Zou The rapid emergence of drug-resistant pathogens poses a critical threat to global health. With tradit...
Take a look at 13 of the top AI drug discovery companies around today, using their technology to speed up the drug discovery process. The post 13 AI drug discovery companies you sh...
Researchers have developed fluorescence polarization and thermal shift screening methods to identify small-molecule bait ligands for the bacterial ClpC N-terminal domain, a key ste...
The articles in this eBook examine key trends driving this transformation, from AI-enabled discovery and experimental validation to advanced cell, gene, and biologic platforms, and...
Researchers trained an AI model to learn chemical patterns associated with stability in drug-like molecules and accurately predict where their hydrogen atoms should be positioned....
GEN’s virtual summit returns on November 4 to examine how AI is reshaping R&D timelines and real-world patient translation. From big pharma to AI-natives, this year’s program f...
by Miriam C. Aziz, Jennie Wilson, Clement Y. Chow PIGA-CDG is a congenital disorder of glycosylation caused by pathogenic partial loss-of-function variants in the PIGA gene. PIGA...
Backed by multiple Sec61 inhibitor families, proteomics and cryo-EM datasets, and machine learning-driven design, Enodia Therapeutics’ platform is the foundation of a new research...
Intrinsically disordered proteins have resisted structure-based drug discovery because they lack a stable fold to model. Talus Bio's structure-free AI model sidesteps that limitati...
Through its entry into Lilly Gateway Labs, Rznomics officials say they plan to accelerate candidate discovery and development across its target gene database bank comprising over 2...
Anthropic has just published the results of a protein design campaign. Fifteen targets, a written brief and an instruction to design small proteins that latch onto them. The model...
Insider Brief A team of Singapore-based researchers reports that a hybrid quantum-classical method could offer a new route to studying drug candidates using today’s Noisy Intermedi...
Earlier cancer studies may need a second look after researchers found that a drug acts mainly on an unexpected target. An experimental cancer drug already being tested in patients...
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