PredictProtein - Predicting Protein Structure and Function for 29 Years

Author:

Bernhofer Michael12ORCID,Dallago Christian12ORCID,Karl Tim1,Satagopam Venkata34ORCID,Heinzinger Michael12,Littmann Maria12,Olenyi Tobias1,Qiu Jiajun15ORCID,Schütze Konstantin1,Yachdav Guy1,Ashkenazy Haim67,Ben-Tal Nir8,Bromberg Yana9ORCID,Goldberg Tatyana1,Kajan Laszlo10,O’Donoghue Sean11,Sander Chris121314,Schafferhans Andrea115,Schlessinger Avner16,Vriend Gerrit17,Mirdita Milot18ORCID,Gawron Piotr3,Gu Wei34,Jarosz Yohan34,Trefois Christophe34ORCID,Steinegger Martin1920,Schneider Reinhard34ORCID,Rost Burkhard12122

Affiliation:

1. TUM (Technical University of Munich) Department of Informatics, Bioinformatics & Computational Biology - i12, Boltzmannstr 3, 85748 Garching/Munich, Germany

2. TUM Graduate School CeDoSIA, Boltzmannstr 11, 85748 Garching, Germany

3. Luxembourg Centre For Systems Biomedicine (LCSB), University of Luxembourg, Campus Belval, House of Biomedicine II, 6 avenue du Swing, L-4367 Belvaux, Luxembourg

4. ELIXIR Luxembourg (ELIXIR-LU) Node, University of Luxembourg, Campus Belval, House of Biomedicine II, 6 avenue du Swing, L-4367 Belvaux, Luxembourg

5. Department of Otolaryngology Head & Neck Surgery, The Ninth People's Hospital & Ear Institute, School of Medicine & Shanghai Key Laboratory of Translational Medicine on Ear and Nose Diseases, Shanghai Jiao Tong University, Shanghai, China

6. Department of Molecular Biology, Max Planck Institute for Developmental Biology, Tübingen, Germany

7. The Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, 69978 Tel Aviv, Israel

8. Department of Biochemistry & Molecular Biology, George S. Wise Faculty of Life Sciences, Tel Aviv University, 69978 Tel Aviv, Israel

9. Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, NJ 08901, USA

10. Roche Polska Sp. z o.o., Domaniewska 39B, 02–672 Warsaw, Poland

11. Garvan Institute of Medical Research, Sydney, Australia

12. Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA 02215, USA

13. Department of Cell Biology, Harvard Medical School, Boston, MA 02215, USA

14. Broad Institute of MIT and Harvard, Boston, MA 02142, USA

15. HSWT (Hochschule Weihenstephan Triesdorf | University of Applied Sciences), Department of Bioengineering Sciences, Am Hofgarten 10, 85354 Freising, Germany

16. Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA

17. BIPS, Poblacion Baco, Mindoro, Philippines

18. Quantitative and Computational Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany

19. School of Biological Sciences, Seoul National University, Seoul, South Korea

20. Artificial Intelligence Institute, Seoul National University, Seoul, South Korea

21. Institute for Advanced Study (TUM-IAS), Lichtenbergstr. 2a, 85748 Garching/Munich, Germany

22. TUM School of Life Sciences Weihenstephan (WZW), Alte Akademie 8, Freising, Germany

Abstract

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.

Funder

Competence Network for Scientific High Performance Computing in Bavaria

Deutsche Forschungsgemeinschaft

Bundesministerium für Bildung und Forschung

BMBF

Horizon 2020 Framework Programme

National Research Foundation of Korea

Seoul National University

Israeli Science Foundation

Tel Aviv University

Alexander von Humboldt Foundation

Technical University of Munich

Publisher

Oxford University Press (OUP)

Subject

Genetics

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