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Principal determinants leading to transition state formation of a protein-protein complex, orientation trumps side-chain interactions.

ABSTRACT: The binding transition state (TS) is the rate-limiting step for transient molecular interactions. This important step in the molecular recognition process, however, is largely understood only at a qualitative level. To establish a more quantitative picture of the TS structure, we exploit a set of biophysical techniques that have provided major insights in protein folding applications. As a model system representing the large class of "weakly charged" protein-protein interactions, we examine the binding of a variety of human growth hormone (hGH) variants to the human growth hormone receptor (hGHR) and the human prolactin receptor (hPRLR). hGH variants were chosen to probe different features of the TS structure, based on their highly reengineered interfaces. Both Eyring and urea (m value) analyses suggest that the majority of binding surface burial occurs after TS. A comprehensive phi analysis showed that individual hGH interface residues do not contribute energetically to the stability of the TS, but there is a TS "hot spot" in the receptor. Zinc dependence studies that take advantage of an endogenous tetracoordinated interfacial metal binding demonstrate that surfaces of the molecules have attained a high orientational complementarity by the time the TS is reached. The model that best fits these data are that a "knobs-into-holes" process precisely aligns the two molecular interfaces in forming the TS structure. Surprisingly, most of the thermodynamic character of the binding reaction is focused in the fine-tuning process occurring after TS.

SUBMITTER: Horn JR

PROVIDER: S-EPMC2650303 | biostudies-literature | 2009 Feb

REPOSITORIES: biostudies-literature

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Principal determinants leading to transition state formation of a protein-protein complex, orientation trumps side-chain interactions.

Horn James R JR Sosnick Tobin R TR Kossiakoff Anthony A AA

Proceedings of the National Academy of Sciences of the United States of America 20090205 8

The binding transition state (TS) is the rate-limiting step for transient molecular interactions. This important step in the molecular recognition process, however, is largely understood only at a qualitative level. To establish a more quantitative picture of the TS structure, we exploit a set of biophysical techniques that have provided major insights in protein folding applications. As a model system representing the large class of "weakly charged" protein-protein interactions, we examine the ...[more]

PMID: 19196954

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Project description:Significant advancements in the field of protein structure prediction have necessitated the need for objective and robust evaluation of protein structural models by comparing predicted models against the experimentally determined native structures to quantitate their structural similarities. Existing protein model versus native similarity metrics either consider the distances between alpha carbon (C?) or side-chain atoms for computing the similarity. However, side-chain orientation of a protein plays a critical role in defining its conformation at the atomic-level. Despite its importance, inclusion of side-chain orientation in structural similarity evaluation has not yet been addressed. Here, we present SPECS, a side-chain-orientation-included protein model-native similarity metric for improved evaluation of protein structural models. SPECS combines side-chain orientation and global distance based measures in an integrated framework using the united-residue model of polypeptide conformation for computing model-native similarity. Experimental results demonstrate that SPECS is a reliable measure for evaluating structural similarity at the global level including and beyond the accuracy of C? positioning. Moreover, SPECS delivers superior performance in capturing local quality aspect compared to popular global C? positioning-based metrics ranging from models at near-experimental accuracies to models with correct overall folds-making it a robust measure suitable for both high- and moderate-resolution models. Finally, SPECS is sensitive to minute variations in side-chain ? angles even for models with perfect C? trace, revealing the power of including side-chain orientation. Collectively, SPECS is a versatile evaluation metric covering a wide spectrum of protein modeling scenarios and simultaneously captures complementary aspects of structural similarities at multiple levels of granularities. SPECS is freely available at http://watson.cse.eng.auburn.edu/SPECS/.

Dataset Information

Principal determinants leading to transition state formation of a protein-protein complex, orientation trumps side-chain interactions.

Publications

Principal determinants leading to transition state formation of a protein-protein complex, orientation trumps side-chain interactions.

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