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