Molecular docking simulation is a very popular and well-established computational
approach and has been extensively used to understand molecular interactions between a …

Homology modeling is a method for building protein 3D structures using protein primary
sequence and utilizing prior knowledge gained from structural similarities with other …

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

The IntFOLD server based at the University of Reading has been a leading method over the
past decade in providing free access to accurate prediction of protein structures and …

The accuracy of de novo protein structure prediction has been improved considerably in
recent years, mostly due to the introduction of deep learning techniques. In this work …

Motivation Proteins are ubiquitous molecules whose function in biological processes is
determined by their 3D structure. Experimental identification of a protein's structure can be …

Methods for estimating the quality of 3D models of proteins are vital tools for driving the
acceptance and utility of predicted tertiary structures by the wider bioscience community …

Legume nodules create an environment for intracellular bacterial symbionts to fix
atmospheric nitrogen. The master regulator NODULE INCEPTION (NIN) controls many …

Building structural models of entire cells has been a long-standing cross-discipline
challenge for the research community, as it requires an unprecedented level of integration …

Methods to reliably estimate the accuracy of 3D models of proteins are both a fundamental
part of most protein folding pipelines and important for reliable identification of the best …