User profiles for Tomoshi Kameda

Tomoshi Kameda

産業技術総合研究所 人工知能研究センター
Verified email at aist.go.jp
Cited by 1758

On easy implementation of a variant of the replica exchange with solute tempering in GROMACS

T Terakawa, T Kameda… - Journal of computational …, 2011 - Wiley Online Library
To reduce the number of replicas required in the conventional replica exchange method for
huge systems, recently the replica exchange with solute tempering (REST) method was …

Machine-learning-guided mutagenesis for directed evolution of fluorescent proteins

…, M Oikawa, H Nakazawa, T Niide, T Kameda… - ACS synthetic …, 2018 - ACS Publications
Molecular evolution based on mutagenesis is widely used in protein engineering. However,
optimal proteins are often difficult to obtain due to a large sequence space. Here, we …

[HTML][HTML] Liquid-like droplet formation by tumor suppressor p53 induced by multivalent electrostatic interactions between two disordered domains

…, M Honda, Y Itoh, H Takahashi, T Kameda… - Scientific reports, 2020 - nature.com
Early in vivo studies demonstrated the involvement of a tumor-suppressing transcription
factor, p53, into cellular droplets such as Cajal and promyelocytic leukemia protein bodies, …

Arginine-assisted solubilization system for drug substances: solubility experiment and simulation

A Hirano, T Kameda, T Arakawa… - The Journal of Physical …, 2010 - ACS Publications
The poor aqueous solubility of drug substances hampers their broader applications. This paper
describes a de novo strategy to increase the aqueous solubility of drug substances using …

Machine-learning-guided library design cycle for directed evolution of enzymes: the effects of training data composition on sequence space exploration

…, M Oikawa, T Sato, H Nakazawa, T Ito, T Kameda… - Acs …, 2021 - ACS Publications
Machine learning (ML) is becoming an attractive tool in mutagenesis-based protein
engineering because of its ability to design a variant library containing proteins with a desired …

Pressure and temperature phase diagram for liquid–liquid phase separation of the RNA-binding protein fused in sarcoma

…, R Yamazaki, A Fujiwara, T Kameda… - The Journal of …, 2021 - ACS Publications
Liquid–liquid phase separation (LLPS) of proteins and nucleic acids to form membraneless
cellular compartments is considered to be involved in various biological functions. The RNA-…

Aromaphilicity Index of Amino Acids: Molecular Dynamics Simulations of the Protein Binding Affinity for Carbon Nanomaterials

A Hirano, T Kameda - ACS Applied Nano Materials, 2021 - ACS Publications
Aromatic carbon nanomaterials, such as carbon nanotubes and graphene, undergo protein
adsorption in the early stages of their uptake into biological systems, which determines their …

[HTML][HTML] Comprehensive prediction of lncRNA–RNA interactions in human transcriptome

G Terai, J Iwakiri, T Kameda, M Hamada, K Asai - BMC genomics, 2016 - Springer
Motivation Recent studies have revealed that large numbers of non-coding RNAs are
transcribed in humans, but only a few of them have been identified with their functions. …

Free energy and kinetic rate calculation via non-equilibrium molecular simulation: application to biomolecules

S Iida, K Tomoshi - Biophysical Reviews, 2022 - Springer
Non-equilibrium molecular dynamics (NEMD) simulation has been recognized as a
powerful tool for examining biomolecules and provides fruitful insights into not only non-equilibrium …

A covalent G-site inhibitor for glutathione S-transferase Pi (GSTP 1-1)

…, Y Sekido, Y Murakami-Tonami, T Kameda… - Chemical …, 2017 - pubs.rsc.org
We herein report the first covalent G-site-binding inhibitor for GST, GS-ESF (1), which
irreversibly inhibited the GSTP1-1 function. LC-MS/MS and X-ray structure analyses of the …