The fundamental premise of this proposal is that proteins are dynamic entities, that their internal motion is an expression of an inherent and significant amount of conformational entropy and that changes in conformation entropy can greatly influence the energetics of protein function. Below we will summarize recent results that support these assertions. Perhaps the simplest functional context is the binding of a ligand by a protein. Thus our general hypothesis is that the thermodynamics of protein-ligand interactions can be influenced via changes in the protein internal entropy. Though this idea has been in the literature for some time it is only recently that the experimental methods that are capable of illuminating it have become available. We will test the generality of a role for protein dynamics (and the entropy it represents) in molecular recognition by proteins and in the more sophisticated allosteric response. The former will build upon an existing array of examples that indicate a general roughly linear relationship between the contributions of a change in conformational entropy upon ligand binding and the overall binding entropy. Though such a relationship is not required its existence suggests that evolution has exploited conformational entropy in the optimization of protein-ligand thermodynamics. This idea will be quantitatively explored using the recently calibrated """"""""entropy meter"""""""" that relies on a dynamical proxy for conformational entropy. Comprehensive measurements of internal protein motion will be undertaken using the now well-established solution NMR relaxation methods. In an effort to more fully understand the propagation of dynamics within the protein matrix, a high-pressure perturbation study of protein motion will be carried out to illuminate coupling of motion. Recent work by others on the catabolite activator protein suggests that conformational entropy may play a central role in protein-DNA recognition. We therefore propose to examine the structural and dynamic properties underlying protein-DNA recognition in the lac repressor. The lac repressor is a paradigm for genetic regulation in prokaryotes. Overall these studies will greatly expand our appreciation of the nature of protein motion and the role of the conformational entropy that it represents in the energetics of protein function.

Public Health Relevance

The physical basis for formation of high affinity complexes involving proteins is key to understanding their role in cellular signaling in human biology and disease. This proposal seeks to test a fundamental hypothesis regarding the contribution of internal protein conformation entropy to the energetics of high affinity interactions involving proteins. Detailed knowledge of such interactions will greatly enhance our understanding of the origins and role of complex biochemical signaling and may also significantly improve the cost effective rational design of pharmaceuticals directed at protein targets.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM102447-03
Application #
8664901
Study Section
Macromolecular Structure and Function C Study Section (MSFC)
Program Officer
Wehrle, Janna P
Project Start
2012-08-01
Project End
2016-05-31
Budget Start
2014-06-01
Budget End
2015-05-31
Support Year
3
Fiscal Year
2014
Total Cost
$363,079
Indirect Cost
$133,079
Name
University of Pennsylvania
Department
Biochemistry
Type
Schools of Medicine
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
Caro, José A; Wand, A Joshua (2018) Practical aspects of high-pressure NMR spectroscopy and its applications in protein biophysics and structural biology. Methods 148:67-80
Wand, A Joshua (2017) Bringing disorder and dynamics in protein allostery into focus. Proc Natl Acad Sci U S A 114:4278-4280
Fuglestad, Brian; Stetz, Matthew A; Belnavis, Zachary et al. (2017) Solution NMR investigation of the response of the lactose repressor core domain dimer to hydrostatic pressure. Biophys Chem 231:39-44
Caro, José A; Harpole, Kyle W; Kasinath, Vignesh et al. (2017) Entropy in molecular recognition by proteins. Proc Natl Acad Sci U S A 114:6563-6568
Stetz, Matthew A; Wand, A Joshua (2016) Accurate determination of rates from non-uniformly sampled relaxation data. J Biomol NMR 65:157-170
Harpole, Kyle W; O'Brien, Evan S; Clark, Matthew A et al. (2016) The unusual internal motion of the villin headpiece subdomain. Protein Sci 25:423-32
Stetz, Matthew A; Carter, Marie V; Wand, A Joshua (2016) Optimized expression and purification of biophysical quantities of Lac repressor and Lac repressor regulatory domain. Protein Expr Purif 123:75-82
O'Brien, Evan S; Wand, A Joshua; Sharp, Kim A (2016) On the ability of molecular dynamics force fields to recapitulate NMR derived protein side chain order parameters. Protein Sci 25:1156-60
Wand, A Joshua (2015) Biophysics: Enzymes surf the heat wave. Nature 517:149-50
Sharp, Kim A; O'Brien, Evan; Kasinath, Vignesh et al. (2015) On the relationship between NMR-derived amide order parameters and protein backbone entropy changes. Proteins 83:922-30

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