Drug discovery Is changing. Drug development must change too.
In this New Scientist CoLab podcast, experts from global life sciences leader Cytiva explain the hidden, high-stakes science of purification that is required to close the gap betwe...
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In this New Scientist CoLab podcast, experts from global life sciences leader Cytiva explain the hidden, high-stakes science of purification that is required to close the gap betwe...
The Bengaluru-based company builds models that generate molecules and predict how they will behave, and has licensed its lead candidate to a US developer.
Researchers have developed a visible-light-driven method that could help chemists build more complex drug-like molecules in fewer steps. A blue light commonly used in aquariums and...
The researchers identified Nys34 as a leading candidate after it demonstrated three-to-eightfold lower toxicity than amphotericin B in multiple human cell lines and reduced fungal...
The collaboration is specifically focused on applying Receptor.AI's computational platform to Sethera's proprietary polymacrocyclic peptide chemistry, encoded screening data, and r...
During the opening session of the AACR Conference on Drug Discovery and Development, the conference cochairs—Patricia M. LoRusso, DO, PhD (hc), FAACR; Keith T. Flaherty MD, FAACR;...
Led by serial biotech entrepreneur Greg Verdine, the startup mined fungi genomes to find a safer alternative to the drugs widely used to prevent the body from rejecting transplante...
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...
Elix and the University of Vienna will partner to bridge the gap between advanced structural biology and artificial intelligence. By integrating AI’s predictive power with experime...
Artificial intelligence is often framed as the technology that suddenly changed drug discovery. But that narrative misses an important truth: computational, or in silico, drug disc...
Ampyrone—an NSAID-related compound—has emerged as a promising way to enhance melanin production in human skin, according to a preclinical study led by Weill Cornell Medicine and Na...
A scalable platform to discover molecular glue degraders has been developed, identifying the first metabolically activated glue. The approach expands protein degradation targets, e...
Rather than generating new wet-lab data for every compound, DeepCyte trains a foundation model that is capable of predicting toxicity mechanisms for compounds that it has never mea...
There are many pathways to the discovery of new drugs, from intuitive trials based on unrelated observations to systematic molecule modification based on biochemical theories.
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...
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...
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 Yemin Yu, Emre Hayir, Neil Tenenholtz, Lester Mackey, Ying Wei, David Alvarez-Melis, Ava P. Amini, Alex X. Lu Recent advances in self-supervised deep learning have improved our...
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...
Artificial Intelligence Revolutionizes Cancer Drug Discovery, Paving the Way for Next-Generation Therapies The arduous journey of developing effective cancer drugs, marked by high...
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