ProtDec-LTR2.0: an improved method for protein remote homology detection by combining pseudo protein and supervised Learning to Rank.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 29077805.
- Also identified by DOI 10.1093/bioinformatics/btx429.
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Abstract
As one of the most important tasks in protein sequence analysis, protein remote homology detection is critical for both basic research and practical applications. Here, we present an effective web server for protein remote homology detection called ProtDec-LTR2.0 by combining ProtDec-Learning to Rank (LTR) and pseudo protein representation. Experimental results showed that the detection performance is obviously improved. The web server provides a user-friendly interface to explore the sequence and structure information of candidate proteins and find their conserved domains by launching a multiple sequence alignment tool. The web server is free and open to all users with no login requirement at http://bioinformatics.hitsz.edu.cn/ProtDec-LTR2.0/. bliu@hit.edu.cn.
Medical subject headings
- Computational Biology
- Proteins
- Sequence Homology, Amino Acid
- Software
- Supervised Machine Learning