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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...
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...
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...
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...
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...
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 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...
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...
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....
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...
Using deep learning, researchers predict tautomeric states - an important foundation for reliable drug design.
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...
Unlocking the Arctic’s subterranean DNA must ensure a delicate balance between scientific rigor and ethical stewardship. Synthetic biology and chemistry could help discovery of new...
The KTP provides access to academic expertise while embedding that capability within Centrix’s business. This project represents an opportunity to apply advanced data science techn...
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...
by Ren Qi, Shujia Liu, Tianhong Quan, Tianru Wu, Alexey K. Shaytan, Bin Liu Motivation Predicting drug sensitivity across diverse cancer samples is a fundamental challenge in perso...
A flexible metal-organic framework called APF-40 reveals the 3D structures of large drug molecules from microgram-scale samples, including doramectin.
As wet-lab validation becomes increasingly important to support artificial intelligence-enhanced science, research science points out that human-relevant cell models provide an imp...
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