4.7 Review

Membrane protein prediction methods

期刊

METHODS
卷 41, 期 4, 页码 460-474

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ymeth.2006.07.026

关键词

membrane proteins; protein structure prediction; protein function prediction; alignments; transmembrane segment prediction; homology modeling; ab initio modeling

资金

  1. NIGMS NIH HHS [U54-GM75026-01, R01-GM64633-01] Funding Source: Medline
  2. NLM NIH HHS [R01-LM07329-01, R01 LM007329] Funding Source: Medline
  3. NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [R01GM064633, U54GM075026] Funding Source: NIH RePORTER
  4. NATIONAL LIBRARY OF MEDICINE [R01LM007329] Funding Source: NIH RePORTER

向作者/读者索取更多资源

We survey computational approaches that tackle membrane protein structure and function prediction. While describing the main ideas that have led to the development of the most relevant and novel methods, we also discuss pitfalls, provide practical hints and highlight the challenges that remain. The methods covered include: sequence alignment, motif search, functional residue identification, transmembrane segment and protein topology predictions, homology and ab initio modeling. In general, predictions of functional and structural features of membrane proteins are improving, although progress is hampered by the limited amount of high-resolution experimental information available. While predictions of transmembrane segments and protein topology rank among the most accurate methods in computational biology, more attention and effort will be required in the future to ameliorate database search, homology and ab initio modeling. (c) 2006 Elsevier Inc. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据