AlphaFold solved a structural biology riddle: predicting protein structure. And yet, CASP, a global competition born to solve ...

Based on a protein’s three-dimensional surface structure, the algorithm designs molecules that bind specifically to the protein according to the lock- and-key principle, so they can interact ...

John Jumper, a Nobel laureate and a central figure in computational biology, presented a groundbreaking PhD thesis titled ...

Researchers hope the AI tool will aid in the development of cell-specific gene therapies to treat diseases such as cancer.

We’re at this tipping point” for AI in biology, Eran Segal, a computational biologist at the Weizmann Institute of Science ...

Almost every natural protein consists of concatenations of L-amino acids. Once fully folded, the three-dimensional structure is stereospecific to a series of molecules, called ligands, normally ...

The latest version of Google DeepMind and Isomorphic Labs’ AlphaFold model can predict the structure and relationships not only of proteins ... Now, AlphaFold 3 has widened the reach of the ...

Feixiong Cheng, PhD, helped build PIONEER, a deep learning model that predicts the three-dimensional (3D) structure of interactions between proteins across the interactome. Most disease mutations ...

MIT's open-source AI model, Boltz-1, could transform drug discovery by accurately predicting protein structures.

The triaxial structure that we obtain can provide important constraints on the Sagittarius progenitor, as well as the central dark matter distribution under the assumption of dynamical equilibrium.

Two-dimensional polyacrylamide gel electrophoresis (PAGE) is used for separation of complex protein mixtures by the ... to initiate polymerization. 3| Cast the IEF gels so that they are filled ...