AlphaFold, a transformative AI-driven tool developed by DeepMind, has revolutionized the field of structural biology by accurately predicting protein structures. This breakthrough holds significant ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin has introduced CGSchNet, a machine-learned coarse-grained (CG) model that can ...

In a new study published in GEN’s sister peer-review journal, GEN Biotechnology, titled, “Exploring Structure-Function Relationships in Engineered Receptor Performance Using Computational Structure ...

In drug discovery, virtual screening is a fast and cost-effective way of narrowing down vast chemical libraries to identify the most promising hits, reducing synthesis and testing requirements while ...

In 2020, news headlines repeated John Moult’s words at the end of a stunning competition: Artificial intelligence had “solved” a long-standing grand challenge in biology, protein structure prediction.

Artificial intelligence (AI) is reshaping the scientific landscape, offering fantastic solutions to some of the most pressing global challenges. From combating climate change to transforming ...

Announcing a new publication for Acta Materia Medica journal. Proteins are essential macromolecules that perform functions according to their conformational dynamics. Studying the conformational ...

Recent advances in de novo protein design are transforming biology into an increasingly generative discipline. Fueled by progress in machine learning, we can now generate novel proteins in silico with ...

A team of researchers at the Korea Advanced Institute of Science and Technology (KAIST) has used artificial intelligence to ...