J 2015

Nonlinear vs. linear biasing in Trp-cage folding simulations

SPIWOK, Vojtěch, Pavel OBORSKÝ, Jana PAZÚRIKOVÁ, Aleš KŘENEK, Blanka KRÁLOVÁ et. al.

Basic information

Original name

Nonlinear vs. linear biasing in Trp-cage folding simulations

Name in Czech

Vnesení lineárního a nelineárního šumu v simulacích proteinu Trp-cage

Authors

SPIWOK, Vojtěch (203 Czech Republic), Pavel OBORSKÝ (203 Czech Republic), Jana PAZÚRIKOVÁ (703 Slovakia, belonging to the institution), Aleš KŘENEK (203 Czech Republic, belonging to the institution) and Blanka KRÁLOVÁ (203 Czech Republic)

Edition

Journal of the chemical society. Faraday transactions II, Journal of chemical physics, London, Chemical society, 2015, 0021-9606

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10600 1.6 Biological sciences

Country of publisher

United Kingdom of Great Britain and Northern Ireland

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 2.894

RIV identification code

RIV/00216224:14610/15:00080979

Organization unit

Institute of Computer Science

UT WoS

000351530100042

Keywords (in Czech)

molekularni metadynamika; foldovani proteinu

Keywords in English

molecular metadynamics; protein folding

Tags

Tags

International impact, Reviewed
Změněno: 27/4/2018 10:31, Mgr. Alena Mokrá

Abstract

V originále

Biased simulations have great potential for the study of slow processes, including protein folding. Atomic motions in molecules are nonlinear, which suggests that simulations with enhanced sampling of collective motions traced by nonlinear dimensionality reduction methods may perform better than linear ones. In this study, we compare an unbiased folding simulation of the Trp-cage miniprotein with metadynamics simulations using both linear (principle component analysis) and nonlinear (Isomap) low dimensional embeddings as collective variables. Folding of the mini-protein was successfully simulated in 200 ns simulation with linear biasing and non-linear motion biasing. The folded state was correctly predicted as the free energy minimum in both simulations. We found that the advantage of linear motion biasing is that it can sample a larger conformational space, whereas the advantage of nonlinear motion biasing lies in slightly better resolution of the resulting free energy surface. In terms of sampling efficiency, both methods are comparable.

Links

CZ.1.05/3.2.00/08.0144, interní kód MU
Name: CERIT Scientific Cloud (Acronym: CERIT - SC)
Investor: Ministry of Education, Youth and Sports of the CR, 3.2 Promotion and providing information on R&D results
GA15-17269S, research and development project
Name: Simulace komplexních systémů se zesíleným vzorkováním
Investor: Czech Science Foundation