The Rosetta software for macromolecular modeling, docking and design is extensively used
in laboratories worldwide. During two decades of development by a community of …

PyMOL, a cross‐platform molecular graphics tool, has been widely used for three‐
dimensional (3D) visualization of proteins, nucleic acids, small molecules, electron …

Three billion years of evolution has produced a tremendous diversity of protein molecules,
but the full potential of proteins is likely to be much greater. Accessing this potential has …

Antibodies are immune system proteins that protect the host by binding to specific antigens
such as viruses and bacteria. The binding between antibodies and antigens is mainly …

ColabFold offers accelerated prediction of protein structures and complexes by combining
the fast homology search of MMseqs2 with AlphaFold2 or RoseTTAFold. ColabFold's 40− 60 …

Attention-based models trained on protein sequences have demonstrated incredible
success at classification and generation tasks relevant for artificial-intelligence-driven …

DeepMind presented notably accurate predictions at the recent 14th Critical Assessment of
Structure Prediction (CASP14) conference. We explored network architectures that …

The ability to computationally generate novel yet physically foldable protein structures could
lead to new biological discoveries and new treatments targeting yet incurable diseases …

RNA molecules adopt three-dimensional structures that are critical to their function and of
interest in drug discovery. Few RNA structures are known, however, and predicting them …

A newly described coronavirus named severe acute respiratory syndrome coronavirus 2
(SARS-CoV-2), which is the causative agent of coronavirus disease 2019 (COVID-19), has …