Using steered molecular dynamic tension for assessing quality of computational protein structure models

© 2022 Wiley Periodicals LLC.

Bibliographische Detailangaben
Veröffentlicht in:Journal of computational chemistry. - 1984. - 43(2022), 17 vom: 30. Juni, Seite 1140-1150
1. Verfasser: Monroe, Lyman (VerfasserIn)
Weitere Verfasser: Kihara, Daisuke
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2022
Zugriff auf das übergeordnete Werk:Journal of computational chemistry
Schlagworte:Journal Article Research Support, U.S. Gov't, Non-P.H.S. Research Support, N.I.H., Extramural assessment model quality protein bioinformatics protein structure prediction steered molecular dynamics Proteins
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520 |a The native structures of proteins, except for notable exceptions of intrinsically disordered proteins, in general take their most stable conformation in the physiological condition to maintain their structural framework so that their biological function can be properly carried out. Experimentally, the stability of a protein can be measured by several means, among which the pulling experiment using the atomic force microscope (AFM) stands as a unique method. AFM directly measures the resistance from unfolding, which can be quantified from the observed force-extension profile. It has been shown that key features observed in an AFM pulling experiment can be well reproduced by computational molecular dynamics simulations. Here, we applied computational pulling for estimating the accuracy of computational protein structure models under the hypothesis that the structural stability would positively correlated with the accuracy, i.e. the closeness to the native, of a model. We used in total 4929 structure models for 24 target proteins from the Critical Assessment of Techniques of Structure Prediction (CASP) and investigated if the magnitude of the break force, that is, the force required to rearrange the model's structure, from the force profile was sufficient information for selecting near-native models. We found that near-native models can be successfully selected by examining their break forces suggesting that high break force indeed indicates high stability of models. On the other hand, there were also near-native models that had relatively low peak forces. The mechanisms of the stability exhibited by the break forces were explored and discussed 
650 4 |a Journal Article 
650 4 |a Research Support, U.S. Gov't, Non-P.H.S. 
650 4 |a Research Support, N.I.H., Extramural 
650 4 |a assessment 
650 4 |a model quality 
650 4 |a protein bioinformatics 
650 4 |a protein structure prediction 
650 4 |a steered molecular dynamics 
650 7 |a Proteins  |2 NLM 
700 1 |a Kihara, Daisuke  |e verfasserin  |4 aut 
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