DELPHI: accurate deep ensemble model for protein interaction sites prediction
نویسندگان
چکیده
منابع مشابه
Computational Methods for Prediction of Protein-Protein Interaction Sites
Studies of protein-protein interactions play a central role in understanding protein function in biological systems, closing the gap between large-scale sequencing efforts and medically relevant outcomes. Increasingly, protein interaction interfaces that mediate communication between proteins are becoming targets for therapeutics, offering a possibility to disrupt critical interactions and spec...
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Many important protein-protein interactions are mediated by the binding of a short peptide stretch in one protein to a large globular segment in another. Recent efforts have provided hundreds of examples of new peptides binding to proteins for which a three-dimensional structure is available (either known experimentally or readily modeled) but where no structure of the protein-peptide complex i...
متن کاملPrediction of Protein-Protein Interaction Sites Using Support Vector Machines
The identification of protein-protein interaction sites is essential for the mutant design and prediction of protein-protein networks. The interaction sites of residue units were predicted using support vector machines (SVM) and the profiles of sequentially/spatially neighboring residues, plus additional information. When only sequence information was used, prediction performance was highest us...
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Protein-protein interactions play a crucial role in many biological processes such as immune response, enzyme catalysis, and signal transduction. Identifying the interacting sites between the proteins is important for understanding the functional mechanisms, and is crucial for drug development. Interaction profile hidden Markov model (ipHMM) was shown to be an effective tool for modeling protei...
متن کاملPrediction of protein-protein interaction sites using support vector machines
The identification of protein-protein interaction sites is essential for the mutant design and prediction of protein-protein networks. The interaction sites of residue units were predicted using support vector machines (SVM) and the profiles of sequentially/spatially neighboring residues, plus additional information. When only sequence information was used, prediction performance was highest us...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2020
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/btaa750