Title
A comprehensive review and comparison of different computational methods for protein remote homology detection
Abstract
Protein remote homology detection is one of the most fundamental and central problems for the studies of protein structures and functions, aiming to detect the distantly evolutionary relationships among proteins via computational methods. During the past decades, many computational approaches have been proposed to solve this important task. These methods have made a substantial contribution to protein remote homology detection. Therefore, it is necessary to give a comprehensive review and comparison on these computational methods. In this article, we divide these computational approaches into three categories, including alignment methods, discriminative methods and ranking methods. Their advantages and disadvantages are discussed in a comprehensive perspective, and their performance is compared on widely used benchmark data sets. Finally, some open questions in this field are further explored and discussed.
Year
DOI
Venue
2018
10.1093/bib/bbw108
BRIEFINGS IN BIOINFORMATICS
Keywords
Field
DocType
protein remote homology detection,protein structure and function,alignment methods,discriminative methods,ranking methods
Sequence alignment,Data mining,Data set,Biology,Ranking,Homology (biology),Bioinformatics,Discriminative model
Journal
Volume
Issue
ISSN
19
2
1467-5463
Citations 
PageRank 
References 
12
0.51
55
Authors
4
Name
Order
Citations
PageRank
Junjie Chen1763.24
Guo Mingyue2120.85
Xiaolong Wang31208115.39
Bin Liu441933.30