Single-molecule dynamics reveals cooperative binding-folding in protein recognition.

The study of associations between two biomolecules is the key to understanding molecular function and recognition. Molecular function is often thought to be determined by underlying structures. Here, combining a single-molecule study of protein binding with an energy-landscape-inspired microscopic m...

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Main Authors: Jin Wang, Qiang Lu, H Peter Lu
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2006-07-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC1487182?pdf=render
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spelling doaj-adb5d74163974179988b148b099aa1e92020-11-24T21:49:06ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582006-07-0127e7810.1371/journal.pcbi.0020078Single-molecule dynamics reveals cooperative binding-folding in protein recognition.Jin WangQiang LuH Peter LuThe study of associations between two biomolecules is the key to understanding molecular function and recognition. Molecular function is often thought to be determined by underlying structures. Here, combining a single-molecule study of protein binding with an energy-landscape-inspired microscopic model, we found strong evidence that biomolecular recognition is determined by flexibilities in addition to structures. Our model is based on coarse-grained molecular dynamics on the residue level with the energy function biased toward the native binding structure (the Go model). With our model, the underlying free-energy landscape of the binding can be explored. There are two distinct conformational states at the free-energy minimum, one with partial folding of CBD itself and significant interface binding of CBD to Cdc42, and the other with native folding of CBD itself and native interface binding of CBD to Cdc42. This shows that the binding process proceeds with a significant interface binding of CBD with Cdc42 first, without a complete folding of CBD itself, and that binding and folding are then coupled to reach the native binding state. The single-molecule experimental finding of dynamic fluctuations among the loosely and closely bound conformational states can be identified with the theoretical, calculated free-energy minimum and explained quantitatively in the model as a result of binding associated with large conformational changes. The theoretical predictions identified certain key residues for binding that were consistent with mutational experiments. The combined study identified fundamental mechanisms and provided insights about designing and further exploring biomolecular recognition with large conformational changes.http://europepmc.org/articles/PMC1487182?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Jin Wang
Qiang Lu
H Peter Lu
spellingShingle Jin Wang
Qiang Lu
H Peter Lu
Single-molecule dynamics reveals cooperative binding-folding in protein recognition.
PLoS Computational Biology
author_facet Jin Wang
Qiang Lu
H Peter Lu
author_sort Jin Wang
title Single-molecule dynamics reveals cooperative binding-folding in protein recognition.
title_short Single-molecule dynamics reveals cooperative binding-folding in protein recognition.
title_full Single-molecule dynamics reveals cooperative binding-folding in protein recognition.
title_fullStr Single-molecule dynamics reveals cooperative binding-folding in protein recognition.
title_full_unstemmed Single-molecule dynamics reveals cooperative binding-folding in protein recognition.
title_sort single-molecule dynamics reveals cooperative binding-folding in protein recognition.
publisher Public Library of Science (PLoS)
series PLoS Computational Biology
issn 1553-734X
1553-7358
publishDate 2006-07-01
description The study of associations between two biomolecules is the key to understanding molecular function and recognition. Molecular function is often thought to be determined by underlying structures. Here, combining a single-molecule study of protein binding with an energy-landscape-inspired microscopic model, we found strong evidence that biomolecular recognition is determined by flexibilities in addition to structures. Our model is based on coarse-grained molecular dynamics on the residue level with the energy function biased toward the native binding structure (the Go model). With our model, the underlying free-energy landscape of the binding can be explored. There are two distinct conformational states at the free-energy minimum, one with partial folding of CBD itself and significant interface binding of CBD to Cdc42, and the other with native folding of CBD itself and native interface binding of CBD to Cdc42. This shows that the binding process proceeds with a significant interface binding of CBD with Cdc42 first, without a complete folding of CBD itself, and that binding and folding are then coupled to reach the native binding state. The single-molecule experimental finding of dynamic fluctuations among the loosely and closely bound conformational states can be identified with the theoretical, calculated free-energy minimum and explained quantitatively in the model as a result of binding associated with large conformational changes. The theoretical predictions identified certain key residues for binding that were consistent with mutational experiments. The combined study identified fundamental mechanisms and provided insights about designing and further exploring biomolecular recognition with large conformational changes.
url http://europepmc.org/articles/PMC1487182?pdf=render
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AT qianglu singlemoleculedynamicsrevealscooperativebindingfoldinginproteinrecognition
AT hpeterlu singlemoleculedynamicsrevealscooperativebindingfoldinginproteinrecognition
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