Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/185740
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dc.titlePROTEIN ALLOSTERY: FROM BASIC MECHANISMS TO COMPUTATIONAL MODELLING
dc.contributor.authorTEE WEI VEN
dc.date.accessioned2021-01-25T18:00:30Z
dc.date.available2021-01-25T18:00:30Z
dc.date.issued2020-07-01
dc.identifier.citationTEE WEI VEN (2020-07-01). PROTEIN ALLOSTERY: FROM BASIC MECHANISMS TO COMPUTATIONAL MODELLING. ScholarBank@NUS Repository.
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/185740
dc.description.abstractAllostery is a phenomenon in which a protein’s functional activity is regulated by a perturbation at a distant site. Allosteric control of proteins by ligand binding, mutations, and structural disorder is explored here using a structure-based statistical mechanical model of allostery. The following findings will be presented: first, reversing allosteric communication identifies known allosteric sites and suggests latent allosteric sites; second, Allosteric Signaling Maps (ASMs), derived by exhaustive mutational scanning over all amino acids, allow to examine the allosteric effects of distal mutations quantitatively; third, allosteric regulation driven by structural disorder and order, and their transitions, will be explored in several proteins. The computationally efficient method is implemented as an online web-server called AlloSigMA2 to quantify the allosteric signaling originated from user-defined site(s) and/or mutation(s). Lastly, an online database AlloMAPS which contains the comprehensive description on allosteric signaling in more than 2,000 proteins and protein domains will be presented.
dc.language.isoen
dc.subjectallostery, protein dynamics, computational modelling, mutation, intrinsic disorder
dc.typeThesis
dc.contributor.departmentBIOLOGICAL SCIENCES
dc.contributor.supervisorIgor Berezovsky
dc.contributor.supervisorGanesh Srinivasan Anand
dc.description.degreePh.D
dc.description.degreeconferredDOCTOR OF PHILOSOPHY (FOS)
Appears in Collections:Ph.D Theses (Open)

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