Literature DB >> 26045390

Virtual-system-coupled adaptive umbrella sampling to compute free-energy landscape for flexible molecular docking.

Junichi Higo1, Bhaskar Dasgupta1, Tadaaki Mashimo2,3, Kota Kasahara1, Yoshifumi Fukunishi4, Haruki Nakamura1.   

Abstract

A novel enhanced conformational sampling method, virtual-system-coupled adaptive umbrella sampling (V-AUS), was proposed to compute 300-K free-energy landscape for flexible molecular docking, where a virtual degrees of freedom was introduced to control the sampling. This degree of freedom interacts with the biomolecular system. V-AUS was applied to complex formation of two disordered amyloid-β (Aβ30-35 ) peptides in a periodic box filled by an explicit solvent. An interpeptide distance was defined as the reaction coordinate, along which sampling was enhanced. A uniform conformational distribution was obtained covering a wide interpeptide distance ranging from the bound to unbound states. The 300-K free-energy landscape was characterized by thermodynamically stable basins of antiparallel and parallel β-sheet complexes and some other complex forms. Helices were frequently observed, when the two peptides contacted loosely or fluctuated freely without interpeptide contacts. We observed that V-AUS converged to uniform distribution more effectively than conventional AUS sampling did.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  adaptive umbrella; flexible docking; free-energy landscape; multicanonical; virtual system

Mesh:

Substances:

Year:  2015        PMID: 26045390     DOI: 10.1002/jcc.23948

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  6 in total

1.  GA-guided mD-VcMD: A genetic-algorithm-guided method for multi-dimensional virtual-system coupled molecular dynamics.

Authors:  Junichi Higo; Ayumi Kusaka; Kota Kasahara; Narutoshi Kamiya; Itaya Hayato; Xie Qilin; Takuya Takahashi; Ikuo Fukuda; Kentaro Mori; Yutaka Hata; Yoshifumi Fukunishi
Journal:  Biophys Physicobiol       Date:  2020-12-26

Review 2.  Enhanced sampling simulations to construct free-energy landscape of protein-partner substrate interaction.

Authors:  Jinzen Ikebe; Koji Umezawa; Junichi Higo
Journal:  Biophys Rev       Date:  2016-01-11

3.  Immunoinformatic paradigm predicts macrophage and T-cells epitope responses against globally conserved spike fragments of SARS CoV-2 for universal vaccination.

Authors:  Smarajit Maiti; Amrita Banerjee; Dipannita Santra; Mehak Kanwar
Journal:  Int Immunopharmacol       Date:  2022-05-16       Impact factor: 5.714

4.  myPresto/omegagene: a GPU-accelerated molecular dynamics simulator tailored for enhanced conformational sampling methods with a non-Ewald electrostatic scheme.

Authors:  Kota Kasahara; Benson Ma; Kota Goto; Bhaskar Dasgupta; Junichi Higo; Ikuo Fukuda; Tadaaki Mashimo; Yutaka Akiyama; Haruki Nakamura
Journal:  Biophys Physicobiol       Date:  2016-09-07

5.  Automated Exploration of Free Energy Landscapes Based on Umbrella Integration.

Authors:  Yuki Mitsuta; Takashi Kawakami; Mitsutaka Okumura; Shusuke Yamanaka
Journal:  Int J Mol Sci       Date:  2018-03-21       Impact factor: 5.923

Review 6.  Enhanced conformational sampling to visualize a free-energy landscape of protein complex formation.

Authors:  Shinji Iida; Haruki Nakamura; Junichi Higo
Journal:  Biochem J       Date:  2016-06-15       Impact factor: 3.857

  6 in total

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