Junichi Higo

Dr. Junichi Higo


Research Focus & Metrics

Academic Career Length

34Years (1993-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 June 2011 in Journal of the American Chemical Society
Verified
Journal Article
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JHJunichi Higo
Junichi Higo
YNYoshifumi Nishimura
Yoshifumi Nishimura
HNHaruki Nakamura
Haruki Nakamura

11 January 2012 in Biophysical Reviews
Verified
Journal Article
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JHJunichi Higo
Junichi Higo
JIJinzen Ikebe
Jinzen Ikebe
NKNarutoshi Kamiya
Narutoshi Kamiya
HNHaruki Nakamura
Haruki Nakamura
Protein folding and protein–ligand docking have long persisted as important subjects in biophysics. Using multicanonical molecular dynamics (McMD) simulations with realistic expressions, i.e., all-atom protein models and an explicit solvent, free-energy landscapes have been computed for several systems, such as the folding of peptides/proteins composed of a few amino acids up to nearly 60 amino-acid residues, protein–ligand interactions, and coupled folding and binding of intrinsically disordered proteins. Recent progress in conformational sampling and its applications to biophysical systems are reviewed in this report, including descriptions of several outstanding studies. In addition, an algorithm and detailed procedures used for multicanonical sampling are presented along with the methodology of adaptive umbrella sampling. Both methods control the simulation so that low-probability regions along a reaction coordinate are sampled frequently. The reaction coordinate is the potential energy for multicanonical sampling and is a structural identifier for adaptive umbrella sampling. One might imagine that this probability control invariably enhances conformational transitions among distinct stable states, but this study examines the enhanced conformational sampling of a simple system and shows that reasonably well-controlled sampling slows the transitions. This slowing is induced by a rapid change of entropy along the reaction coordinate. We then provide a recipe to speed up the sampling by loosening the rapid change of entropy. Finally, we report all-atom McMD simulation results of various biophysical systems in an explicit solvent.

15 December 2010 in Journal of Computational Chemistry
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Journal Article
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JIJinzen Ikebe
Jinzen Ikebe
KUKoji Umezawa
Koji Umezawa
NKNarutoshi Kamiya
Narutoshi Kamiya
TSTakanori Sugihara
Takanori Sugihara
YYYasushige Yonezawa
Yasushige Yonezawa
JHJunichi Higo
Junichi Higo

10 May 2013 in The Journal of Chemical Physics
Verified
Journal Article
Open access
JHJunichi Higo
Junichi Higo
KUKoji Umezawa
Koji Umezawa
HNHaruki Nakamura
Haruki Nakamura
We propose a novel generalized ensemble method, a virtual-system coupled multicanonical molecular dynamics (V-McMD), to enhance conformational sampling of biomolecules expressed by an all-atom model in an explicit solvent. In this method, a virtual system, of which physical quantities can be set arbitrarily, is coupled with the biomolecular system, which is the target to be studied. This method was applied to a system of an Endothelin-1 derivative, KR-CSH-ET1, known to form an antisymmetric homodimer at room temperature. V-McMD was performed starting from a configuration in which two KR-CSH-ET1 molecules were mutually distant in an explicit solvent. The lowest free-energy state (the most thermally stable state) at room temperature coincides with the experimentally determined native complex structure. This state was separated to other non-native minor clusters by a free-energy barrier, although the barrier disappeared with elevated temperature. V-McMD produced a canonical ensemble faster than a conventional McMD method.

4 June 2015 in Journal of Computational Chemistry
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Journal Article
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JHJunichi Higo
Junichi Higo
BDBhaskar Dasgupta
Bhaskar Dasgupta
TMTadaaki Mashimo
Tadaaki Mashimo
KKKota Kasahara
Kota Kasahara
YFYoshifumi Fukunishi
Yoshifumi Fukunishi
HNHaruki Nakamura
Haruki Nakamura

11 January 2016 in Biophysical Reviews
Verified
Journal Article
Closed access
PDF file
JIJinzen Ikebe
Jinzen Ikebe
KUKoji Umezawa
Koji Umezawa
JHJunichi Higo
Junichi Higo