bioRxivBioinformaticsPreprint
EVfold.org: Evolutionary Couplings and Protein 3D Structure Prediction
Robert Sheridan, Robert J. Fieldhouse, Sikander Hayat, Yichao Sun, Yevgeniy Antipin, Li Yang, Thomas Hopf, Debora S. MarksiD, Chris SanderiD
Abstract
Recently developed maximum entropy methods infer evolutionary constraints on protein function and structure from the millions of protein sequences available in genomic databases. The EVfold web server (at EVfold.org) makes these methods available to predict functional and structural interactions in proteins. The key algorithmic development has been to disentangle direct and indirect residue-residue correlations in large multiple sequence alignments and derive direct residue-residue evolutionary couplings (EVcouplings or ECs). For proteins of unknown structure, distance constraints obtained from evolutionarily couplings between residue pairs are used to de novo predict all-atom 3D structures, often to good accuracy. Given sufficient sequence information in a protein family, this is a major advance toward solving the problem of computing the native 3D fold of proteins from sequence information alone.\n\nAvailabilityEVfold server at http://evfold.org/\n\nContactevfoldtest@gmail.com\n\nAbbreviations
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- CoEVFold suite: user friendly pipelines to visually represent protein coevolution
Chris LB Graham, Liam Cremona, … Christopher D. A. Rodrigues·bioRxiv·Jan 26, 2026
- Protein structure from experimental evolution
M. A. Stiffler, F. J. Poelwijk, … C. Sander·bioRxiv·Jun 13, 2019
- State-of-the-Art Estimation of Protein Model Accuracy using AlphaFold
J. P. Roney, S. Ovchinnikov·bioRxiv·Mar 11, 2022
- Evolutionary couplings detect side-chain interactions
A. J. Hockenberry, C. O. Wilke·bioRxiv·Dec 20, 2018
- CopulaNet: Learning residue co-evolution directly from multiple sequence alignment for protein structure prediction
Fusong Ju, Jianwei Zhu, … Dongbo Bu·Nature CommunicationsPeer-reviewed·May 5, 2021
- The EVcouplings Python framework for coevolutionary sequence analysis
Thomas A. Hopf, Anna G. Green, … Debora S. Marks·BioinformaticsPeer-reviewed·Oct 8, 2018