Designing Peptide Screens to Generate Knowledge, Not Just Hits
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...
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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...
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...
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...
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...
Using deep learning, researchers predict tautomeric states - an important foundation for reliable drug design.
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...
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...
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 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....
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...
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...
As trees fall, species that could yield lifesaving medicines risk disappearing before science can find them.
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...
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...
Scientists can now get more accurate safety data by testing drugs on organ-on-a-chip devices and organoids, meaning that there's increasingly less need to harm animals
A flexible metal-organic framework called APF-40 reveals the 3D structures of large drug molecules from microgram-scale samples, including doramectin.
In a result that is already sending ripples through the fields of neuroscience and drug design, chemists at the University of California, Davis have performed something akin to a m...
Molecules spun off from a cancer drug may have a second job in fighting malaria. Researchers at the University of São Paulo’s School of Pharmaceutical Sciences...
Molecular autopsy reveals features linked to hallucinations and therapeutic benefits. LSD, a psychedelic drug being studied for its ability to help nerve cells grow and strengthen...
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