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ABSTRACT: Motivation
Protein function prediction is one of the major tasks of bioinformatics that can help in wide range of biological problems such as understanding disease mechanisms or finding drug targets. Many methods are available for predicting protein functions from sequence based features, protein-protein interaction networks, protein structure or literature. However, other than sequence, most of the features are difficult to obtain or not available for many proteins thereby limiting their scope. Furthermore, the performance of sequence-based function prediction methods is often lower than methods that incorporate multiple features and predicting protein functions may require a lot of time.Results
We developed a novel method for predicting protein functions from sequence alo
SUBMITTER: Kulmanov M
PROVIDER: S-EPMC9883727 | biostudies-literature | 2020 Jan
REPOSITORIES: biostudies-literature