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.

journal_name

Brief Bioinform

authors

Chen J,Guo M,Wang X,Liu B

doi

10.1093/bib/bbw108

subject

Has Abstract

pub_date

2018-03-01 00:00:00

pages

231-244

issue

2

eissn

1467-5463

issn

1477-4054

pii

2562645

journal_volume

19

pub_type

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