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Grant: Discovery Grants Program - Individual

Memorial University of Newfoundland

$22,000.00

Computational studies of conformational switching in proteins: function and evolution

FY 2016-17

Summary
Proteins are the 'moving parts' of the molecular machinery of cells. They carry out a range of highly specialized tasks, such as catalyzing biochemical reactions and transducing signals. Yet neither structures of individual proteins nor protein complexes can be reliably predicted today - our knowledge of the physics of protein folding and interaction remains incomplete. A key factor hampering progress is the large computational cost of traditional molecular dynamics simulations, leaving many problems out of reach to computation. Adding urgency to this problem is the increased emphasis of current biophysical experiments on large and complex conformational transitions, including between ordered and disordered states, as a way to understand how proteins carry out their functions. One component of my research program over the next five years is the development of a systematic procedure for formulating coarse-grained potential energy functions in molecular simulations. I will apply it to further enhance a unique intermediate-resolution model for protein folding and interaction that was recently developed in my group and that hits a 'sweet-spot' in the tradeoff between detail and computational speed. With this coarse-grained model, I will investigate the biophysical basis of protein conformational switching in two complementary areas. (A) We will investigate the factors that allow 'metamorphic' proteins to abruptly and reversibly switch between entirely different three-dimensional shapes, triggered by a binding event or - as in evolutionary processes - by mutations. A hypothesis that I will explore is whether these shape-shifting proteins represent evolutionary 'bridges' to new protein shapes. In the second area, (B) we will study how conformational transitions in disordered proteins, which lack a stable three-dimensional shape, form the molecular basis for the functional behavior of this type of flexible proteins, including molecular recognition. This research program will provide much needed new techniques for systematic coarse-graining in molecular simulations. Equally important, it will provide a deeper understanding of the physics of conformational switching in proteins and thereby enhance our understanding of the cellular machinery. The program will also benefit the biotechnology industry by laying the foundation for the development of biosensors or targeted drug-delivery systems based on conformational switching.
Program
Discovery Grants Program - Individual
Location
Newfoundland and Labrador, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
RGPIN-2016-05014
Name nom
Wallin, Stefan
Department département
Physics and Physical Oceanography - Physics and Physical Oceanography
Organization id
89
Institution établissement
Memorial University of Newfoundland
Province en
Newfoundland and Labrador
Province fr
Terre-Neuve-et-Labrador
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2016
Competition year année de concours
2016
Award amount
22000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1505
Committee name en
Physics
Committee name fr
Physique
Area of application code
1202
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Physical sciences
Area of application fr
Sciences physiques
Research subject code
3113
Research subject group en
Physics
Research subject group fr
Physique
Research subject en
Biophysics
Research subject fr
Biophysique
Partie
1
Nb partie
5
Application title
Computational studies of conformational switching in proteins: function and evolution
Keyword
NSERC
Application summary
Proteins are the 'moving parts' of the molecular machinery of cells. They carry out a range of highly specialized tasks, such as catalyzing biochemical reactions and transducing signals. Yet neither structures of individual proteins nor protein complexes can be reliably predicted today - our knowledge of the physics of protein folding and interaction remains incomplete. A key factor hampering progress is the large computational cost of traditional molecular dynamics simulations, leaving many problems out of reach to computation. Adding urgency to this problem is the increased emphasis of current biophysical experiments on large and complex conformational transitions, including between ordered and disordered states, as a way to understand how proteins carry out their functions. One component of my research program over the next five years is the development of a systematic procedure for formulating coarse-grained potential energy functions in molecular simulations. I will apply it to further enhance a unique intermediate-resolution model for protein folding and interaction that was recently developed in my group and that hits a 'sweet-spot' in the tradeoff between detail and computational speed. With this coarse-grained model, I will investigate the biophysical basis of protein conformational switching in two complementary areas. (A) We will investigate the factors that allow 'metamorphic' proteins to abruptly and reversibly switch between entirely different three-dimensional shapes, triggered by a binding event or - as in evolutionary processes - by mutations. A hypothesis that I will explore is whether these shape-shifting proteins represent evolutionary 'bridges' to new protein shapes. In the second area, (B) we will study how conformational transitions in disordered proteins, which lack a stable three-dimensional shape, form the molecular basis for the functional behavior of this type of flexible proteins, including molecular recognition. This research program will provide much needed new techniques for systematic coarse-graining in molecular simulations. Equally important, it will provide a deeper understanding of the physics of conformational switching in proteins and thereby enhance our understanding of the cellular machinery. The program will also benefit the biotechnology industry by laying the foundation for the development of biosensors or targeted drug-delivery systems based on conformational switching.
Memorial University of Newfoundland - $22,000 Grant (… | Canada Spends