A team of researchers has developed a method that could transform the field of protein engineering. The new approach, called ...

The company has integrated the AI model into its internal discovery pipeline and aims to use it in collaborative drug ...

US-align is a versatile, open-source program for the structure comparisons of proteins, RNAs and DNAs in pairwise and multiple alignment forms. Applicable to both monomeric and multimeric ...

Toropova et al. report the single-particle cryo-EM structure of the human dynein-2 complex 2, which unexpectedly reveals two different conformations of the motor subunit tails.

In a study published in the journal Nature, researchers from the Center for Genomic Regulation (CRG) and the Wellcome Sanger ...

Imagine a world without disease. Sounds utopian? AI just made it a multibillion-dollar bet to discover drugs – and forget Big ...

When Alphabet announced in 2021 that its AlphaFold AI could predict the structure of almost every known protein, it was a major story, not just in the pharma world, but beyond.

Machine learning methods are widely used in bioinformatics and computational and systems biology. Here, we review the development of machine learning methods for protein structure prediction, one of ...

Syllabus: The NTA has put the official JEE Main 2026 Syllabus online on their website: jeemain.nta.nic.in. If you're planning ...

Wash your face: Use a gentle, nonabrasive cleanser and lukewarm water. Moisturize: Opt for a moisturizer that fits your skin type. Apply sunscreen of SPF 30+: Reapply every 2 hours if you’re in ...

The minima hopping algorithm (MHOP) to find global minima on potential energy surfaces is used for protein structure prediction. The energy surface of the protein is represented with an all-atom OPLS ...

The prediction of precise protein-ligand binding activities can accelerate drug discovery by virtual screening-a computational technique that predicts whether a small molecule ligand is able to bind ...