FUpred: detecting protein domains through deep-learning-based contact map prediction
نویسندگان
چکیده
منابع مشابه
Deep architectures for protein contact map prediction
MOTIVATION Residue-residue contact prediction is important for protein structure prediction and other applications. However, the accuracy of current contact predictors often barely exceeds 20% on long-range contacts, falling short of the level required for ab initio structure prediction. RESULTS Here, we develop a novel machine learning approach for contact map prediction using three steps of...
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Deep learning has emerged as a new area of machine learning research. It has been successfully applied to several fields such as images, sounds, text and motion. In this project, deep learning was applied to protein interaction prediction and compared with support vector machines. Deep learning was shown to have a good performance as well as SVM with Fisher score features.
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MOTIVATION Protein contacts contain key information for the understanding of protein structure and function and thus, contact prediction from sequence is an important problem. Recently exciting progress has been made on this problem, but the predicted contacts for proteins without many sequence homologs is still of low quality and not very useful for de novo structure prediction. METHOD This ...
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In this paper, we focus on protein contact map prediction. We describe a method where contact maps are predicted using decision tree-based model. The algorithm includes the subsequence information between the couple of analyzed amino acids. In order to evaluate the method generalization capabilities, we carry out an experiment using 173 non-homologous proteins of known structures. Our results i...
متن کاملInvited Talk: Docking Protein Domains Using a Contact Map Representation
In this talk I will discuss the possibility of predicting protein-protein interactions (docking) using a contact map representation. Rather than providing a full three dimensional model of the predicted complex, the method predicts contacting residues across the interface. A scoring function is used that combines structural, physicochemical and evolutionary information, where each potential res...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2020
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/btaa217