Graphics processing unit-accelerated MMseqs2 offers tremendous speedups for homology retrieval from metagenomic databases, query-centered multiple sequence alignment generation for structure predictio...

The diffusion learning method, DiffDock, for docking small-molecule ligands into protein binding sites was recently introduced. Results included comparisons to more conventional docking approaches, wi...

BioNeMo Framework: For building and adapting AI models in drug discovery at scale - NVIDIA/bionemo-framework

The ability to compare the sequences of multiple related proteins is a foundational task for many life science researchers. This is often done in the form of a multiple sequence alignment (MSA)…

Predicts the 3D structure of how a molecule interacts with a protein.

A generative model of protein backbones for protein binder design.

The ability to compare the sequences of multiple related proteins is a foundational task for many life science researchers. This is often done in the form of a multiple sequence alignment (MSA)…

The ability to compare the sequences of multiple related proteins is a foundational task for many life science researchers. This is often done in the form of a multiple sequence alignment (MSA)…

Japan is pursuing sovereign AI initiatives supporting nearly every aspect of healthcare. They're highlighted at the NVIDIA AI Summit Japan.

Formation Bio collaborates with Sanofi and OpenAI to Introduce Muse, a first of its kind AI tool to accelerate patient recruitment in drug development.