MFPred: Rapid and accurate prediction of protein-peptide recognition multispecificity using self-consistent mean field theory

Aliza B. Rubenstein; Manasi A. Pethe; Sagar D. Khare

doi:10.1371/journal.pcbi.1005614

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Open Access

Peer-reviewed

Research Article

MFPred: Rapid and accurate prediction of protein-peptide recognition multispecificity using self-consistent mean field theory

Aliza B. Rubenstein,

Affiliations Computational Biology & Molecular Biophysics Program, Rutgers, The State University of New Jersey, Piscataway, NJ, Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ
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Manasi A. Pethe,

Affiliations Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, NJ, Center for Integrative Proteomics Research, Rutgers, The State University of New Jersey, Piscataway, NJ
⨯
Sagar D. Khare

* E-mail: sagar.khare@rutgers.edu

Affiliations Computational Biology & Molecular Biophysics Program, Rutgers, The State University of New Jersey, Piscataway, NJ, Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ, Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, NJ, Center for Integrative Proteomics Research, Rutgers, The State University of New Jersey, Piscataway, NJ

http://orcid.org/0000-0002-2255-0543

⨯

MFPred: Rapid and accurate prediction of protein-peptide recognition multispecificity using self-consistent mean field theory

Aliza B. Rubenstein,
Manasi A. Pethe,
Sagar D. Khare

Published: June 26, 2017
https://doi.org/10.1371/journal.pcbi.1005614

About the Authors

Aliza B. Rubenstein

Manasi A. Pethe

Affiliations Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, NJ, Center for Integrative Proteomics Research, Rutgers, The State University of New Jersey, Piscataway, NJ

Sagar D. Khare

* E-mail: sagar.khare@rutgers.edu

Affiliations Computational Biology & Molecular Biophysics Program, Rutgers, The State University of New Jersey, Piscataway, NJ, Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ, Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, NJ, Center for Integrative Proteomics Research, Rutgers, The State University of New Jersey, Piscataway, NJ

http://orcid.org/0000-0002-2255-0543

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

Conceptualization: ABR SDK. Data curation: ABR MAP. Formal analysis: ABR. Funding acquisition: SDK ABR. Investigation: ABR. Methodology: ABR. Project administration: SDK. Software: ABR. Supervision: SDK. Visualization: ABR. Writing – original draft: ABR SDK. Writing – review & editing: ABR MAP SDK.

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Proteases
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HIV
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Crystal structure
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Cosine similarity
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Protein interactions
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Arginine
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Drug interactions
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Protein domains
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