The Border Showdown is here following two consecutive victories for the Kansas Jayhawks to open the 2025 season. Head coach Lance Leipold's group is looking to go into Columbia and come out with an ...

Jorge Nieva, MD, highlights the critical role of molecular testing in non–small cell lung cancer (NSCLC) care, while addressing barriers such as limited tissue samples, delayed turnaround times, and ...

Predicting protein structures from the amino acid sequences helps scientists to understand how proteins interact with other molecules, which is crucial for developing new drugs and therapies.

Ansys Inc. (Pittsburgh, Pa., U.S.) has announced that simulation product Ansys 2025 R2 features new AI-powered capabilities across the portfolio that accelerate simulation and expand accessibility. R2 ...

LOS ANGELES--(BUSINESS WIRE)--Molecular Instruments® (MI), the inventor of the HCR™ platform, today announced key enhancements to its HCR™ Gold and HCR™ Pro product lines. These upgrades include ...

Revised: This Reviewed Preprint has been revised by the authors in response to the previous round of peer review; the eLife assessment and the public reviews have been updated where necessary by the ...

Can anyone help give me detailed steps as how I can add parameters in gromacs such as force field parameters, what to edit in pdb file and wat are the other steps in detail. I docked homocysteine ...

Ben-May Department for Cancer Research, The University of Chicago, Chicago, United States Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, United States (A) ...

A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...

A major scientific advance in protein modeling developed by Microsoft Research AI for Science, has been published in Science. The study introduces BioEmu, a generative deep learning system that ...

The success of a molecular dynamics simulation depends on the accuracy of the force field used to define the atomic interactions. It is challenging to train both classical and modern machine-learning ...