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Comparing the influence of explicit and implicit solvation models on site-specific thermodynamic stability of proteins.
Cho, Myung Keun; Chong, Song-Ho; Ham, Sihyun; Shin, Seokmin.
Affiliation
  • Cho MK; Department of Chemistry, College of Natural Sciences, Seoul, South Korea.
  • Chong SH; Department of Chemistry, The Research Institute of Natural Sciences, Sookmyung Women's University, Seoul, South Korea.
  • Ham S; Global Center for Natural Resources Sciences, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
  • Shin S; Department of Chemistry, The Research Institute of Natural Sciences, Sookmyung Women's University, Seoul, South Korea.
J Comput Chem ; 44(25): 1976-1985, 2023 09 30.
Article in En | MEDLINE | ID: mdl-37352129
Understanding the molecular basis for protein stability requires a thermodynamic analysis of protein folding. Thermodynamic analysis is often performed by sampling many atomistic conformations using molecular simulations that employ either explicit or implicit water models. However, it remains unclear to what extent thermodynamic results from different solvation models are reliable at the molecular level. In this study, we quantify the influence of both solvation models on folding stability at the individual backbone and side chain resolutions. We assess the residue-specific folding free energy components of a ß-sheet protein and a helical protein using trajectories resulting from TIP3P explicit and generalized Born/surface area implicit solvent simulations of model proteins. We found that the thermodynamic discrepancy due to the implicit solvent mostly originates from charged side chains, followed by the under-stabilized hydrophobic ones. In contrast, the contributions of backbone residue in both proteins were comparable for explicit and implicit water models. Our study lays out the foundation for detailed thermodynamic assessment of solvation models in the context of protein simulation.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Proteins / Protein Folding Language: En Journal: J Comput Chem Journal subject: QUIMICA Year: 2023 Type: Article Affiliation country: Korea (South)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Proteins / Protein Folding Language: En Journal: J Comput Chem Journal subject: QUIMICA Year: 2023 Type: Article Affiliation country: Korea (South)