Nakamura H - Search Results

1

Fukunishi Y, Mikami Y, Nakamura H. Fukunishi Y, et al. Among authors: nakamura h. J Mol Graph Model. 2005 Sep;24(1):34-45. doi: 10.1016/j.jmgm.2005.04.004. J Mol Graph Model. 2005. PMID: 15950507

2

Modelling of third cytoplasmic loop of bovine rhodopsin by multicanonical molecular dynamics.

Watanabe YS, Fukunishi Y, Nakamura H. Watanabe YS, et al. Among authors: nakamura h. J Mol Graph Model. 2004 Sep;23(1):59-68. doi: 10.1016/j.jmgm.2004.04.001. J Mol Graph Model. 2004. PMID: 15331054

3

Multiple target screening method for robust and accurate in silico ligand screening.

Fukunishi Y, Mikami Y, Kubota S, Nakamura H. Fukunishi Y, et al. Among authors: nakamura h. J Mol Graph Model. 2006 Sep;25(1):61-70. doi: 10.1016/j.jmgm.2005.11.006. Epub 2005 Dec 22. J Mol Graph Model. 2006. PMID: 16376595

This method was applied to the analysis of a set of 142 receptors and 142 compounds using a receptor-ligand docking program, Sievgene [Y. Fukunishi, Y. Mikami, H. Nakamura, Similarities among receptor pockets and among compounds: analysis and application to in silic …

This method was applied to the analysis of a set of 142 receptors and 142 compounds using a receptor-ligand docking program, Sievgene [Y. Fu …

4

Finding ligands for G protein-coupled receptors based on the protein-compound affinity matrix.

Fukunishi Y, Kubota S, Nakamura H. Fukunishi Y, et al. Among authors: nakamura h. J Mol Graph Model. 2007 Jan;25(5):633-43. doi: 10.1016/j.jmgm.2006.05.001. Epub 2006 May 10. J Mol Graph Model. 2007. PMID: 16777448

5

A virtual active compound produced from the negative image of a ligand-binding pocket, and its application to in-silico drug screening.

Fukunishi Y, Kubota S, Kanai C, Nakamura H. Fukunishi Y, et al. Among authors: nakamura h. J Comput Aided Mol Des. 2006 Apr;20(4):237-48. doi: 10.1007/s10822-006-9047-1. Epub 2006 Jun 21. J Comput Aided Mol Des. 2006. PMID: 16897580

6

Noise reduction method for molecular interaction energy: application to in silico drug screening and in silico target protein screening.

Fukunishi Y, Kubota S, Nakamura H. Fukunishi Y, et al. Among authors: nakamura h. J Chem Inf Model. 2006 Sep-Oct;46(5):2071-84. doi: 10.1021/ci060152z. J Chem Inf Model. 2006. PMID: 16995738

7

An efficient in silico screening method based on the protein-compound affinity matrix and its application to the design of a focused library for cytochrome P450 (CYP) ligands.

Fukunishi Y, Hojo S, Nakamura H. Fukunishi Y, et al. Among authors: nakamura h. J Chem Inf Model. 2006 Nov-Dec;46(6):2610-22. doi: 10.1021/ci600334u. J Chem Inf Model. 2006. PMID: 17125201

8

In-silico drug screening method based on the protein-compound affinity matrix using the factor selection technique.

Murali S, Hojo S, Tsujishita H, Nakamura H, Fukunishi Y. Murali S, et al. Among authors: nakamura h. Eur J Med Chem. 2007 Jul;42(7):966-76. doi: 10.1016/j.ejmech.2006.12.028. Epub 2007 Jan 13. Eur J Med Chem. 2007. PMID: 17307278

9

Prediction of protein-ligand complex structure by docking software guided by other complex structures.

Fukunishi Y, Nakamura H. Fukunishi Y, et al. Among authors: nakamura h. J Mol Graph Model. 2008 Feb;26(6):1030-3. doi: 10.1016/j.jmgm.2007.07.001. Epub 2007 Jul 12. J Mol Graph Model. 2008. PMID: 17692546

10

Improvement of protein-compound docking scores by using amino-acid sequence similarities of proteins.

Fukunishi Y, Nakamura H. Fukunishi Y, et al. Among authors: nakamura h. J Chem Inf Model. 2008 Jan;48(1):148-56. doi: 10.1021/ci700306s. Epub 2008 Jan 1. J Chem Inf Model. 2008. PMID: 18166019

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