The application of state‐of‐the‐art deep‐learning approaches to the protein modeling
problem has expanded the “high‐accuracy” category in CASP14 to encompass all targets …

Here we report on the assessment results of the third experiment to evaluate the state of the
art in protein model refinement, where participants were invited to improve the accuracy of …

We present an overview of the ninth round of Critical Assessment of Protein Structure
Prediction (CASP9)“Template free modeling” category (FM). Prediction models were …

Every second year, the community experiment “Critical Assessment of Techniques for
Structure Prediction”(CASP) is conducting an independent blind assessment of structure …

Protein structure prediction can be used to determine the three-dimensional shape of a
protein from its amino acid sequence. This problem is of fundamental importance as the …

The prediction of interresidue contacts and distances from coevolutionary data using deep
learning has considerably advanced protein structure prediction. Here, we build on these …

Critical assessment of structure prediction (CASP) is a community experiment to advance
methods of computing three‐dimensional protein structure from amino acid sequence. Core …

We describe AlphaFold, the protein structure prediction system that was entered by the
group A7D in CASP13. Submissions were made by three free‐modeling (FM) methods …

This report describes the tertiary structure prediction assessment of difficult modeling targets
in the 14th round of the Critical Assessment of Structure Prediction (CASP14). We …

This paper reports the CASP13 results of distance‐based contact prediction, threading, and
folding methods implemented in three RaptorX servers, which are built upon the powerful …