Literature DB >> 17636570

Protein-inhibitor flexible docking by a multicanonical sampling: native complex structure with the lowest free energy and a free-energy barrier distinguishing the native complex from the others.

Narutoshi Kamiya1, Yasushige Yonezawa, Haruki Nakamura, Junichi Higo.   

Abstract

Flexible docking between a protein (lysozyme) and an inhibitor (tri-N-acetyl-D-glucosamine, tri-NAG) was carried out by an enhanced conformational sampling method, multicanonical molecular dynamics simulation. We used a flexible all-atom model to express lysozyme, tri-NAG, and water molecules surrounding the two bio-molecules. The advantages of this sampling method are as follows: the conformation of system is widely sampled without trapping at energy minima, a thermally equilibrated conformational ensemble at an arbitrary temperature can be reconstructed from the simulation trajectory, and the thermodynamic weight can be assigned to each sampled conformation. During the simulation, exchanges between the binding and free (i.e., unbinding) states of the protein and the inhibitor were repeatedly observed. The conformational ensemble reconstructed at 300 K involved various conformational clusters. The main outcome of the current study is that the most populated conformational cluster (i.e., the cluster of the lowest free energy) was assigned to the native complex structure (i.e., the X-ray complex structure). The simulation also produced non-native complex structures, where the protein and the inhibitor bound with different modes from that of the native complex structure, as well as the unbinding structures. A free-energy barrier (i.e., activation free energy) was clearly detected between the native complex structures and the other structures. The thermal fluctuations of tri-NAG in the lowest free-energy complex correlated well with the X-ray B-factors of tri-NAG in the X-ray complex structure. The existence of the free-energy barrier ensures that the lowest free-energy structure can be discriminated naturally from the other structures. In other words, the multicanonical molecular dynamics simulation can predict the native complex structure without any empirical objective function. The current study also manifested that the flexible all-atom model and the physico-chemically defined atomic-level force field can reproduce the native complex structure. A drawback of the current method is that it requires a time consuming computation due to the exhaustive conformational sampling. We discussed a possibility for combining the current method with conventional docking methods. (c) 2007 Wiley-Liss, Inc.

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Year:  2008        PMID: 17636570     DOI: 10.1002/prot.21409

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  14 in total

Review 1.  Biomolecular simulation and modelling: status, progress and prospects.

Authors:  Marc W van der Kamp; Katherine E Shaw; Christopher J Woods; Adrian J Mulholland
Journal:  J R Soc Interface       Date:  2008-12-06       Impact factor: 4.118

2.  Dynamic Docking Using Multicanonical Molecular Dynamics: Simulating Complex Formation at the Atomistic Level.

Authors:  Gert-Jan Bekker; Narutoshi Kamiya
Journal:  Methods Mol Biol       Date:  2021

Review 3.  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

4.  Enhanced and effective conformational sampling of protein molecular systems for their free energy landscapes.

Authors:  Junichi Higo; Jinzen Ikebe; Narutoshi Kamiya; Haruki Nakamura
Journal:  Biophys Rev       Date:  2012-01-11

5.  Free-energy landscape of molecular interactions between endothelin 1 and human endothelin type B receptor: fly-casting mechanism.

Authors:  Junichi Higo; Kota Kasahara; Mitsuhito Wada; Bhaskar Dasgupta; Narutoshi Kamiya; Tomonori Hayami; Ikuo Fukuda; Yoshifumi Fukunishi; Haruki Nakamura
Journal:  Protein Eng Des Sel       Date:  2019-12-31       Impact factor: 1.650

6.  Solvation properties of N-acetyl-β-glucosamine: molecular dynamics study incorporating electrostatic polarization.

Authors:  Yang Zhong; Brad A Bauer; Sandeep Patel
Journal:  J Comput Chem       Date:  2011-09-07       Impact factor: 3.376

Review 7.  Methods for calculating the entropy and free energy and their application to problems involving protein flexibility and ligand binding.

Authors:  Hagai Meirovitch; Srinath Cheluvaraja; Ronald P White
Journal:  Curr Protein Pept Sci       Date:  2009-06       Impact factor: 3.272

8.  Binding structures of tri-N-acetyl-β-glucosamine in hen egg white lysozyme using molecular dynamics with a polarizable force field.

Authors:  Yang Zhong; Sandeep Patel
Journal:  J Comput Chem       Date:  2012-10-29       Impact factor: 3.376

Review 9.  Theory of free energy and entropy in noncovalent binding.

Authors:  Huan-Xiang Zhou; Michael K Gilson
Journal:  Chem Rev       Date:  2009-09       Impact factor: 60.622

10.  Cryptic-site binding mechanism of medium-sized Bcl-xL inhibiting compounds elucidated by McMD-based dynamic docking simulations.

Authors:  Gert-Jan Bekker; Ikuo Fukuda; Junichi Higo; Yoshifumi Fukunishi; Narutoshi Kamiya
Journal:  Sci Rep       Date:  2021-03-03       Impact factor: 4.379

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