Studying drug-induced metabolic changes with high-throughput systems shed light on drug modes of action, providing an ...

The study, published in Briefings in Bioinformatics on February 20 [10.1093/bib/bbaf054], highlights iDOMO’s ability to identify synergistic drug combinations using gene expression data, outperforming ...

Traditional methods for identifying therapeutic gene targets, crucial for personalized medicine, are expensive and ...

As a fully virtual graduate school, Brandeis GPS conforms to your life and your schedule. That means more choices and more flexibility for continuing your education. Explore the different academic ...

Organized jointly by the National Academy of Sciences India (NASI), Jammu chapter, and the Department of Botany, University ...

Researchers analyzed the latest foundation models (FMs) in bioinformatics, detailing their applications in genomics, ...

In a paper published in National Science Review, an international team of scientists presented recent advancements in ...

Drug discovery is the process through which potential new medicines are identified. It involves a wide range of scientific disciplines, including biology, chemistry and pharmacology. A sustained ...

Identifying therapeutic gene targets is essential for advancing personalized medicine and addressing the genetic basis of ...

The study, published in Briefings in Bioinformatics on February ... we can prioritize the most promising drug combinations for further experimental validation, potentially accelerating the discovery ...

Researchers at Mount Sinai have developed iDOMO, a powerful AI tool that predicts synergistic drug combinations for complex ...

Hannah Le, Product Manager at LatchBio, is leading the development of an accessible bioinformatics platform that enables ...