Literature DB >> 31271472

ProtDCal-Suite: A web server for the numerical codification and functional analysis of proteins.

Sandra Romero-Molina1, Yasser B Ruiz-Blanco1, James R Green2, Elsa Sanchez-Garcia1.   

Abstract

Computational tools for the analysis of protein data and the prediction of biological properties are essential in life sciences and biomedical research. Here, we introduce ProtDCal-Suite, a web server comprising a set of machine learning-based methods for studying proteins. The main module of ProtDCal-Suite is the ProtDCal software. ProtDCal translates the structural information of proteins into numerical descriptors that serve as input to machine-learning techniques. The ProtDCal-Suite server also incorporates a post-processing optional stage that allows ranking and filtering the obtained descriptors by computing their Shannon entropy values across the input set of proteins. ProtDCal's codification was used in the development of models for the prediction of specific protein properties. Thus, the other modules of ProtDCal-Suite are protein analysis tools implemented using ProtDCal's descriptors. Among them are PPI-Detect, for predicting the interaction likelihood of protein-protein and protein-peptide pairs, Enzyme Identifier, for identifying enzymes from amino acid sequences or 3D structures, and Pred-NGlyco, for predicting N-glycosylation sites. ProtDCal-Suite is freely accessible at https://protdcal.zmb.uni-due.de.
© 2019 The Protein Society.

Entities:  

Keywords:  N-glycosylation; descriptor; enzymes; machine-learning; protein-protein interactions; web server

Mesh:

Substances:

Year:  2019        PMID: 31271472      PMCID: PMC6699089          DOI: 10.1002/pro.3673

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


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