TY - JOUR
T1 - Membrane protein prediction methods
AU - Punta, Marco
AU - Forrest, Lucy R.
AU - Bigelow, Henry
AU - Kernytsky, Andrew
AU - Liu, Jinfeng
AU - Rost, Burkhard
N1 - Funding Information:
Thanks to Hans-Erik G. Aronson (Columbia) for computer assistance; thanks to Gunnar von Heijne, Henrik Nielsen, Jannick Bendtsen and Lukas Käll for very generous email clarification and discussion. This work was supported by the Grant RO1-LM07329-01 from the National Library of Medicine (NLM) and the Grants RO1-GM64633-01 and U54-GM75026-01 from the National Institutes of Health (NIH). Last, not least, thanks to all those who deposit their experimental data in public databases, and to those who maintain these databases.
PY - 2007/4
Y1 - 2007/4
N2 - 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.
AB - 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.
KW - Alignments
KW - Homology modeling
KW - Membrane proteins
KW - Protein function prediction
KW - Protein structure prediction
KW - Transmembrane segment prediction
KW - ab initio modeling
UR - http://www.scopus.com/inward/record.url?scp=33947213875&partnerID=8YFLogxK
U2 - 10.1016/j.ymeth.2006.07.026
DO - 10.1016/j.ymeth.2006.07.026
M3 - Article
C2 - 17367718
AN - SCOPUS:33947213875
SN - 1046-2023
VL - 41
SP - 460
EP - 474
JO - Methods
JF - Methods
IS - 4
ER -