Cryptic intermediates and metastable states of proteins as predicted by OneG computational method

J Biomol Struct Dyn. 2022 Oct;40(17):7899-7914. doi: 10.1080/07391102.2021.1904288. Epub 2021 Mar 25.

Abstract

Understanding structural excursions of proteins under folding conditions is crucial to map energy landscapes of proteins. In the present study, OneG computational tool has been used for analyzing possible existence of cryptic intermediates and metastable states of 26 proteins for which three prerequisite inputs of the OneG such as atomic coordinates of proteins, free energy of unfolding (ΔGU) and free energy of exchange (ΔGHX) determined in the absence of denaturant were available during the course of the study. The veraciousness of the tool on predicting the partially folded states of the proteins has been comprehensively described using experimental data available for 15 of the 26 proteins. Meanwhile, possible existence of partially structured states in the folding pathways of 11 other proteins has also been delineated as predicted by the OneG. In addition to mapping the folding pathways of proteins, the salient merits of the tool on systematically addressing the discrepancy between the ΔGU and the ΔGHX of the proteins have also been dealt.Communicated by Ramaswamy H. Sarma.

Keywords: Cryptic intermediates; OneG; free energy; metastable states; native folding.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Kinetics
  • Protein Denaturation
  • Protein Folding*
  • Proteins* / chemistry
  • Thermodynamics

Substances

  • Proteins