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PredictProtein - Predicting Protein Structure and Function for 29 Years

Abstract

Since 1992 PredictProtein (https://predictprotein.org) is a one-stop online resource for protein sequence analysis with its main site hosted at the Luxembourg Centre for Systems Biomedicine (LCSB) and queried monthly by over 3,000 users in 2020. PredictProtein was the first Internet server for protein predictions. It pioneered combining evolutionary information and machine learning. Given a protein sequence as input, the server outputs multiple sequence alignments, predictions of protein structure in 1D and 2D (secondary structure, solvent accessibility, transmembrane segments, disordered regions, protein flexibility, and disulfide bridges) and predictions of protein function (functional effects of sequence variation or point mutations, Gene Ontology (GO) terms, subcellular localization, and protein-, RNA-, and DNA binding). PredictProtein's infrastructure has moved to the LCSB increasing throughput; the use of MMseqs2 sequence search reduced runtime five-fold (apparently without lowering performance of prediction methods); user interface elements improved usability, and new prediction methods were added. PredictProtein recently included predictions from deep learning embeddings (GO and secondary structure) and a method for the prediction of proteins and residues binding DNA, RNA, or other proteins. PredictProtein.org aspires to provide reliable predictions to computational and experimental biologists alike. All scripts and methods are freely available for offline execution in high-throughput settings.

Type Journal
ISBN 1362-4962 (Electronic) 0305-1048 (Linking)
Authors Bernhofer, M.; Dallago, C.; Karl, T.; Satagopam, V.; Heinzinger, M.; Littmann, M.; Olenyi, T.; Qiu, J.; Schutze, K.; Yachdav, G.; Ashkenazy, H.; Ben-Tal, N.; Bromberg, Y.; Goldberg, T.; Kajan, L.; O'Donoghue, S.; Sander, C.; Schafferhans, A.; Schlessinger, A.; Vriend, G.; Mirdita, M.; Gawron, P.; Gu, W.; Jarosz, Y.; Trefois, C.; Steinegger, M.; Schneider, R.; Rost, B.
Publisher Name NUCLEIC ACIDS RESEARCH
Published Date 2021-07-31
Published Volume 49
Published Issue W1
Published Pages W535-W540
Status Published in-print
DOI 10.1093/nar/gkab354
URL link to publisher's version https://www.ncbi.nlm.nih.gov/pubmed/33999203