NDLI: MultiCoil: a program for predicting two- and three-stranded coiled coils.

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MultiCoil: a program for predicting two- and three-stranded coiled coils.

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MultiCoil: a program for predicting two- and three-stranded coiled coils.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Wolf, E. Kim, P. S. Berger, B.
Description	Country affiliation: United States Author Affiliation: Wolf E ( Howard Hughes Medical Institute, Whitehead Institute, MIT, Cambridge, Massachusetts 02142, USA.)
Abstract	A new multidimensional scoring approach for identifying and distinguishing trimeric and dimeric coiled coils is implemented in the MultiCoil program. The program extends the two-stranded coiled-coil prediction program PairCoil to the identification of three-stranded coiled coils. The computations are based upon data gathered from a three-stranded coiled-coil database comprising 6,319 amino acid residues, as well as from the previously constructed two-stranded coiled-coil database. In addition to identifying coiled coils not predicted by the two-stranded database programs, MultiCoil accurately classifies the oligomerization states of known dimeric and trimeric coiled coils. Analysis of the MultiCoil scores provides insight into structural features of coiled coils, and yields estimates that 0.9% of all protein residues form three-stranded coiled coils and that 1.5% form two-stranded coiled coils. The MultiCoil program is available at http:/(/)theory.lcs.mit.edu/multicoil.
ISSN	09618368
e-ISSN	1469896X
Journal	Protein Science
Issue Number	6
Volume Number	6
Language	English
Publisher	Wiley-Blackwell (on behalf of The Protein Society)
Publisher Date	1997-06-01
Publisher Place	United States
Access Restriction	Open
Subject Keyword	Protein Structure, Secondary Algorithms Databases, Factual Molecular Sequence Data Probability Protein Folding Reproducibility Of Results Comparative Study Research Support, Non-u.s. Gov't Research Support, U.s. Gov't, Non-p.h.s. Research Support, U.s. Gov't, P.h.s. Discipline Biochemistry
Content Type	Text
Resource Type	Article
Subject	Medicine Molecular Biology Biochemistry

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