Diffraction (X-ray, neutron and electron) and electron cryo-microscopy are powerful methods
to determine three-dimensional macromolecular structures, which are required to …

The AlphaFold2 results in the 14th edition of Critical Assessment of Structure Prediction
(CASP14) showed that accurate (low root-mean-square deviation) in silico models of protein …

Deep-learning language models have shown promise in various biotechnological
applications, including protein design and engineering. Here we describe ProGen, a …

The design of proteins that bind to a specific site on the surface of a target protein using no
information other than the three-dimensional structure of the target remains a challenge …

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

This paper introduces ISOLDE, a new software package designed to provide an intuitive
environment for high-fidelity interactive remodelling/refinement of macromolecular models …

Technologically critical rare-earth elements are notoriously difficult to separate, owing to
their subtle differences in ionic radius and coordination number,–. The natural lanthanide …

We describe a de novo computational approach for designing proteins that recapitulate the
binding sites of natural cytokines, but are otherwise unrelated in topology or amino acid …

The crystallographic maps that are routinely used during the structure-solution workflow are
almost always model-biased because model information is used for their calculation. As …

INTRODUCTION N 6-methyladenosine (m6A), an abundant modification in eukaryotic
mRNAs and long-noncoding RNAs, has been recognized as a major epitranscriptome mark …