Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/6980
Title: A single-molecule stochastic theory of protein-ligand binding in the presence of multiple unfolding/folding and ligand binding pathways
Authors: SINGH, DIVYA
CHAUDHURY, SRABANTI
Dept. of Chemistry
Keywords: Protein folding
Master equation
Stochastic theory
Randomness parameter
2022-MAY-WEEK2
TOC-MAY2022
2022
Issue Date: Jun-2022
Publisher: Elsevier B.V.
Citation: Biophysical Chemistry, 285, 106803.
Abstract: Protein folding is a biophysical process by which a protein chain is translated to its native (folded) structure through several intermediate states such that the folded conformation becomes biologically functional. This folded protein can again exist in multiple conformations in its native state and its intrinsic conformational fluctuations are responsible for the protein-ligand recognition and binding to form a specific complex. In this study, we introduce an exactly solvable kinetic model based on a discrete stochastic approach to study the protein-ligand binding by taking into account an arbitrary number of the transient intermediates between the unfolded and the native folded state of the protein. We also examine the conformational fluctuations in the folded state explicitly. The dynamic properties of the system are explicitly evaluated to understand the role of short-lived conformations in the process of protein folding and also conformational fluctuations existing in the folded state of the protein.
URI: https://doi.org/10.1016/j.bpc.2022.106803
http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/6980
ISSN: 0301-4622
1873-4200
Appears in Collections:JOURNAL ARTICLES

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