Nanocarriers (NCs) that can precisely deliver active agents, nutrients and genetic materials
into plants will make crop agriculture more resilient to climate change and sustainable. As a …

Artificial intelligence-driven advances in protein structure prediction in recent years have
raised the question: has the protein structure-prediction problem been solved? Here, with a …

Advances in computational tools for atomic model building are leading to accurate models of
large molecular assemblies seen in electron microscopy, often at challenging resolutions of …

Proteins are key to all cellular processes and their structure is important in understanding
their function and evolution. Sequence-based predictions of protein structures have …

Recent work suggests that AlphaFold (AF)–a deep learning-based model that can
accurately infer protein structure from sequence–may discern important features of folded …

Three-dimensional structure modeling from maps is an indispensable step for studying
proteins and their complexes with cryogenic electron microscopy. Although the resolution of …

Using artificial intelligence (AI) in research offers many important benefits for science and
society but also creates novel and complex ethical issues. While these ethical issues do not …

We present the results for CAPRI Round 54, the 5th joint CASP‐CAPRI protein assembly
prediction challenge. The Round offered 37 targets, including 14 homodimers, 3 homo …

Advances in a scientific discipline are often measured by small, incremental steps. In this
review, we report on two intertwined disciplines in the protein structure prediction field …

AlphaFold2 (AF) is a promising tool, but is it accurate enough to predict single mutation
effects? Here, we report that the localized structural deformation between protein pairs …