Advances in the computational methods to understand protein folding and stability
Date
2022-11-09Author
Srikanth, Srimari
Srinivasan, Thamarai Selvi
Prabhu, Dhamodharan
Kadhirvel, Saraboji
Metadata
Show full item recordAbstract
Understanding 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.
Journal
International Journal of Data Mining and Bioinformatics
Access Type
Closed Access