Hostname: page-component-cd9895bd7-dk4vv Total loading time: 0 Render date: 2024-12-23T10:54:37.069Z Has data issue: false hasContentIssue false

Folding and binding cascades: Dynamic landscapes and population shifts

Published online by Cambridge University Press:  01 January 2000

SANDEEP KUMAR
Affiliation:
Laboratory of Experimental and Computational Biology, NCI-FCRDC, Bldg. 469, Rm. 151, Frederick, Maryland 21702
BUYONG MA
Affiliation:
Laboratory of Experimental and Computational Biology, NCI-FCRDC, Bldg. 469, Rm. 151, Frederick, Maryland 21702
CHUNG-JUNG TSAI
Affiliation:
Intramural Research Support Program—SAIC, Laboratory of Experimental and Computational Biology, NCI-FCRDC, Bldg. 469, Rm. 151, Frederick, Maryland 21702
NEETI SINHA
Affiliation:
Intramural Research Support Program—SAIC, Laboratory of Experimental and Computational Biology, NCI-FCRDC, Bldg. 469, Rm. 151, Frederick, Maryland 21702
RUTH NUSSINOV
Affiliation:
Intramural Research Support Program—SAIC, Laboratory of Experimental and Computational Biology, NCI-FCRDC, Bldg. 469, Rm. 151, Frederick, Maryland 21702 Sackler Institute of Molecular Medicine, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
Get access

Abstract

Whereas previously we have successfully utilized the folding funnels concept to rationalize binding mechanisms (Ma B, Kumar S, Tsai CJ, Nussinov R, 1999, Protein Eng 12:713–720) and to describe binding (Tsai CJ, Kumar S, Ma B, Nussinov R, 1999, Protein Sci 8:1181–1190), here we further extend the concept of folding funnels, illustrating its utility in explaining enzyme pathways, multimolecular associations, and allostery. This extension is based on the recognition that funnels are not stationary; rather, they are dynamic, depending on the physical or binding conditions (Tsai CJ, Ma B, Nussinov R, 1999, Proc Natl Acad Sci USA 96:9970–9972). Different binding states change the surrounding environment of proteins. The changed environment is in turn expressed in shifted energy landscapes, with different shapes and distributions of populations of conformers. Hence, the function of a protein and its properties are not only decided by the static folded three-dimensional structure; they are determined by the distribution of its conformational substates, and in particular, by the redistributions of the populations under different environments. That is, protein function derives from its dynamic energy landscape, caused by changes in its surroundings.

Type
REVIEWS
Copyright
© 2000 The Protein Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)