AI tools aid the discovery of super tight-binding antibodies
An AI strategy developed by US scientists could accelerate the development of new antibody drugs.
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An AI strategy developed by US scientists could accelerate the development of new antibody drugs.
Technology is infamous for falling into a hype cycle, with its peaks and valleys of exaggerated expectations and disillusionment — AI-driven drug discovery is no exception. In this article, Aaron Daugherty, Vice President Discovery at Aria Pharmaceuticals, highlights how the industry can use AI to transform research.
Swedish researchers unveiled a new cancer protein profile database compiled from artificial intelligence and machine learning.
Combining AI with cutting-edge flow cytometry and massive sequencing technologies, researchers describe CAR T cell characteristics that determine their therapeutic capacity for the first time.
A US study used an AI algorithm to determine chromosomal numbers in IVF embryos.
Finnish researchers have developed AI based neural network to detect an early knee osteoarthritis from x-ray images, that can save the patient from unnecessary examinations, treatments and even knee joint replacement surgery.
Using a natural language-inspired technique, researchers at the University of Central Florida, US, developed an interpretable and generalisable drug target interaction model that achieves 97 percent accuracy in identifying drug candidates for a broad variety of target proteins. Here, Dr Ozlem Ozmen Garibay and Aida Tayebi, who worked on the…
Today’s drug screening methods use one or two types of data. However, disease biology is not replicable by simple screening models because diseases are complex and heterogenous. However, advanced screening methods that process dozens of data sources at one time have uncovered novel hits that have been overlooked across the…
US researchers, using new machine learning techniques have developed a virtual molecular library of “words” that encode commands to kill cancer cells.
In this ebook are articles on how artificial intelligence can be used to identify drug candidates, data-lead screening models and autonomous strategies for molecular discovery.
This ebook details Euretos’ approach to predicting novel gene-disease associations including a case study on Multiple Sclerosis GWAS and drug targets.
A new Drug Target Review issue is now ready to download! This issue features articles which explore how artificial intelligence can enhance screening and ways to find new hits through simultaneous orthogonal screens. Also included are articles on CRISPR, immuno-oncology and RSV vaccines.
Imaging the structure and function of the nervous system at a cellular level – challenges and considerations.
Swedish researchers have designed synthetic DNA that controls a cells’ protein production using AI.
Researchers have streamlined the traditionally slow process of enzyme engineering. This work might help researchers tailor the suitability of enzymes for custom purposes.