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Kyu-Kwang Han

dblp:12/4267 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 87% Computational science and engineering · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › protein structure prediction › protein folding
protein folding simulation
0.112006
Application of the multiensemble sampling to the equilibrium folding of proteins · Bioinform. 2006
Bioinformatics and computational biology
protein structure prediction
0.112006
Application of the multiensemble sampling to the equilibrium folding of proteins · Bioinform. 2006
Computational science and engineering › numerical simulation
monte carlo simulation
0.012006
Application of the multiensemble sampling to the equilibrium folding of proteins · Bioinform. 2006

Methods — techniques the papers use, named apart from their topics

united-residue force field · 0.1multiensemble sampling · 0.1monte carlo · 0.1
YearPublicationVenuePosition
2006 Application of the multiensemble sampling to the equilibrium folding of proteins
abstract
MOTIVATION: Conventional Monte Carlo and molecular dynamics simulations of proteins in the canonical ensemble are of little use, because they tend to get trapped in states of energy local minima at low temperatures. One way to surmount this difficulty is to use a non-Boltzmann sampling method in which conformations are sampled upon a general weighting function instead of the conventional Boltzmann weighting function. The multiensemble sampling (MES) method is a non-Boltzmann sampling method that was originally developed to estimate free energy differences between systems with different potential energies and/or at different thermodynamic states. The method has not yet been applied to studies of complex molecular systems such as proteins. RESULTS: MES Monte Carlo simulations of small proteins have been carried out using a united-residue force field. The proteins at several temperatures from the unfolded to the folded states were simulated in a single MC run at a time and their equilibrium thermodynamic properties were calculated correctly. The distributions of sampled conformations clearly indicate that, when going through states of energy local minima, the MES simulation did not get trapped in them but escaped from them so quickly that all the relevant parts of conformation space could be sampled properly. A two-step folding process consisting of a collapse transition followed by a folding transition is observed. This study demonstrates that the use of MES alleviates the multiple-minima problem greatly. AVAILABILITY: Available on request from the authors.
Hyeon S. Son, Seung-Yeon Kim, Jooyoung Lee 0002, Kyu-Kwang Han
Bioinform.4