SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition
نویسندگان
چکیده
منابع مشابه
Multi-class Protein Fold Recognition Through a Symbolic-Statistical Framework
Protein fold recognition is an important problem in molecular biology. Machine learning symbolic approaches have been applied to automatically discover local structural signatures and relate these to the concept of fold in SCOP. However, most of these methods cannot handle uncertainty being therefore not able to solve multiple prediction problems. In this paper we present an application of the ...
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The best protein structure prediction results today are achieved by incorporating initial structural prediction using alignments to known protein structures. The performance of these algorithms directly depends on the quality and significance of the alignment results. Support Vector Machines (SVMs) have shown great potential in providing good alignment results in cases where very low similariti...
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We present FORTE, a profile-profile comparison tool for protein fold recognition. Users can submit a protein sequence to explore the possibilities of structural similarity existing in known structures. Results are reported via email in the form of pairwise alignments.
متن کاملProbabilistic multi-class multi-kernel learning: on protein fold recognition and remote homology detection
MOTIVATION The problems of protein fold recognition and remote homology detection have recently attracted a great deal of interest as they represent challenging multi-feature multi-class problems for which modern pattern recognition methods achieve only modest levels of performance. As with many pattern recognition problems, there are multiple feature spaces or groups of attributes available, s...
متن کاملpGenTHREADER and pDomTHREADER: new methods for improved protein fold recognition and superfamily discrimination
MOTIVATION Generation of structural models and recognition of homologous relationships for unannotated protein sequences are fundamental problems in bioinformatics. Improving the sensitivity and selectivity of methods designed for these two tasks therefore has downstream benefits for many other bioinformatics applications. RESULTS We describe the latest implementation of the GenTHREADER metho...
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ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2007
ISSN: 1471-2105
DOI: 10.1186/1471-2105-8-s4-s2