To study growth-defense trade-offs in the context of metabolism in crops, scientists from the Universities of Potsdam and ...

Traditional drug development methods involve identifying a target protein (e.g., a cancer cell receptor) that causes disease, and then searching through countless molecular candidates (potential drugs ...

The targeted engineering of artificial proteins with unique properties is now possible with the assistance of a novel method ...

Chai Discovery, a company that builds frontier artificial intelligence models to predict and reprogram interactions between ...

Now is the time to invest in quantum literacy, explore proof-of-concept collaborations and monitor quantum’s integration.

The data-driven molecular model, based on existing data on the neuro-glia-vascular (NGV) system is, the team suggests, the most comprehensive and complex computer model of brain metabolism ...

The model’s predecessor, Boltz-1, was released last November as the first fully open-source model to achieve AlphaFold 3-level accuracy in predicting the 3D structure of biomolecular complexes.

Ionic liquids (ILs) are a class of molten salts with a collection of exciting properties, which have been employed for wide-ranging applications across chemistry, biology, and materials science.

Google DeepMind releases AlphaFold 3's source code to academics, marking a significant advance in AI-powered molecular biology and drug discovery, while balancing open science with commercial ...

The inclusion of molecular lesion data in prognostic models for predicting overall survival (OS) for patients with low-risk myelodysplastic neoplasms (LR-MDS) causes bone marrow (BM) blast ...