Abstract
Peptides mediate up to 40 % of protein–protein interactions in a variety of cellular processes and are also attractive drug candidates. Thus, predicting peptide binding sites on the given protein structure is of great importance for mechanistic investigation of protein–peptide interactions and peptide therapeutics development. In this chapter, we describe the usage of our web server, referred to as ACCLUSTER, for peptide binding site prediction for a given protein structure. ACCLUSTER is freely available for users without registration at http://zougrouptoolkit.missouri.edu/accluster.
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Acknowledgements
This work is supported by NSF CAREER Award DBI-0953839 and the NIH R01GM109980 (Xiaoqin Zou). The computations were performed on the high performance computing infrastructure supported by NSF CNS-1429294 (PI: Chi-Ren Shyu) and the HPC resources supported by the University of Missouri Bioinformatics Consortium (UMBC).
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Yan, C., Xu, X., Zou, X. (2017). The Usage of ACCLUSTER for Peptide Binding Site Prediction. In: Schueler-Furman, O., London, N. (eds) Modeling Peptide-Protein Interactions. Methods in Molecular Biology, vol 1561. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-6798-8_1
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DOI: https://doi.org/10.1007/978-1-4939-6798-8_1
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