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dc.contributor.authorSrikanth, Srimari
dc.contributor.authorSrinivasan, Thamarai Selvi
dc.contributor.authorPrabhu, Dhamodharan
dc.contributor.authorKadhirvel, Saraboji
dc.date.accessioned2024-01-21T10:34:43Z
dc.date.available2024-01-21T10:34:43Z
dc.date.issued2022-11-09T00:00:00
dc.identifier.issn17485673
dc.identifier.urihttp://kr.cup.edu.in/handle/32116/3309
dc.description.abstractUnderstanding the molecular basis of life is important for advances in fundamental and applied biological research. Numerous and complex biological activities occur simultaneously in all living cells in a controlled manner to execute an optimal equilibrium and function. Specifically, life depends on the regular functioning of the protein molecules, which depends upon the attainment of the correct three-dimensional structure and its stability. Therefore, deducing a fundamental understanding of how proteins fold and stabilise in the native states is of great intellectual and technological significance. Similar to all natural events, protein folding is a physicochemical process that is much more complex in-vivo, with the association of chaperones and/or other co-factors. Perturbations in protein�s stability results in misfolded proteins and their aggregated forms associated with protein misfolding disorders. Interestingly, researchers are involved in developing computational methods to predict the folded state of the protein and its stabilising mechanisms, which are essential in designing biotechnologically and medicinally important protein molecules. The present review aims to explore developments in the computational procedures which aid in understanding protein folding and stability and its applications. Copyright � 2021 Inderscience Enterprises Ltd.en_US
dc.language.isoen_USen_US
dc.publisherInderscience Publishersen_US
dc.subjectbioinformaticsen_US
dc.subjectin silico methods/analysisen_US
dc.subjectprotein engineeringen_US
dc.subjectprotein folding energy calculationen_US
dc.subjectstructure prediction methodsen_US
dc.titleAdvances in the computational methods to understand protein folding and stabilityen_US
dc.typeArticleen_US
dc.identifier.doi10.1504/ijdmb.2021.126842
dc.identifier.urlhttp://www.inderscience.com/link.php?id=126842
dc.title.journalInternational Journal of Data Mining and Bioinformaticsen_US
dc.type.accesstypeClosed Accessen_US


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