PROSPERous: high-throughput prediction of substrate cleavage sites for 90 proteases with improved accuracy

Author:

Song Jiangning123,Li Fuyi2,Leier André45,Marquez-Lago Tatiana T45,Akutsu Tatsuya6,Haffari Gholamreza1,Chou Kuo-Chen789,Webb Geoffrey I1,Pike Robert N310

Affiliation:

1. Monash Centre for Data Science, Faculty of Information Technology, Monash University, Clayton, VIC, Australia

2. Department of Biochemistry and Molecular Biology and Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia

3. ARC Centre of Excellence in Advanced Molecular Imaging, Monash University, Clayton, VIC, Australia

4. Department of Genetics, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA

5. Informatics Institute, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA

6. Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto, Japan

7. Gordon Life Science Institute, Boston, MA, USA

8. Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China

9. Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah, Saudi Arabia

10. La Trobe Institute for Molecular Science, La Trobe University, Melbourne, VIC, Australia

Funder

Australian Research Council

ARC

National Institute of Allergy and Infectious Diseases

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Reference25 articles.

1. GraBCas: a bioinformatics tool for score-based prediction of Caspase- and Granzyme B-cleavage sites in protein sequences;Backes;Nucleic Acids Res,2005

2. PoPS: a computational tool for modeling and predicting protease specificity;Boyd;J. Bioinform. Comput. Biol,2005

3. Prediction of human immunodeficiency virus protease cleavage sites in proteins;Chou;Anal. Biochem,1996

4. ProtIdent: a web server for identifying proteases and their types by fusing functional domain and sequential evolution information;Chou;Biochem. Biophys. Res. Commun,2008

5. Predicting human immunodeficiency virus protease cleavage sites in proteins by a discriminant function method;Chou;Proteins,1996

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