Noriyuki Kurita

Prof. Dr. Noriyuki Kurita

Toyohashi University of Technology
orcid

Research Focus & Metrics

Academic Career Length

35Years (1992-Present)

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

Representative Publications

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29 January 2021 in Journal of Chemical Information and Modeling
Verified
Journal Article
Open access
DTDaisuke Takaya
Daisuke Takaya
CWChiduru Watanabe
Chiduru Watanabe
SNShunpei Nagase
Shunpei Nagase
KKKikuko Kamisaka
Kikuko Kamisaka
YOYoshio Okiyama
Yoshio Okiyama
THTeruki Honma
Teruki Honma
We developed the world’s first web-based public database for the storage, management, and sharing of fragment molecular orbital (FMO) calculation data sets describing the complex interactions between biomacromolecules, named FMO Database (https://drugdesign.riken.jp/FMODB/). Each entry in the database contains relevant background information on how the data was compiled as well as the total energy of each molecular system and interfragment interaction energy (IFIE) and pair interaction energy decomposition analysis (PIEDA) values. Currently, the database contains more than 13 600 FMO calculation data sets, and a comprehensive search function implemented at the front-end. The procedure for selecting target proteins, preprocessing the experimental structures, construction of the database, and details of the database front-end were described. Then, we demonstrated a use of the FMODB by comparing IFIE value distributions of hydrogen bond, ion-pair, and XH/π interactions obtained by FMO method to those by molecular mechanics approach. From the comparison, the statistical analysis of the data provided standard reference values for the three types of interactions that will be useful for determining whether each interaction in a given system is relatively strong or weak compared to the interactions contained within the data in the FMODB. In the final part, we demonstrate the use of the database to examine the contribution of halogen atoms to the binding affinity between human cathepsin L and its inhibitors. We found that the electrostatic term derived by PIEDA greatly correlated with the binding affinities of the halogen containing cathepsin L inhibitors, indicating the importance of QM calculation for quantitative analysis of halogen interactions. Thus, the FMO calculation data in FMODB will be useful for conducting statistical analyses to drug discovery, for conducting molecular recognition studies in structural biology, and for other studies involving quantum mechanics-based interactions.

1 July 2020 in Journal of Molecular Graphics and Modelling
Verified
Journal Article
Closed access
RSRiku Sato
Riku Sato
SVShivani Vohra
Shivani Vohra
SYShohei Yamamoto
Shohei Yamamoto
KSKatsumi Suzuki
Katsumi Suzuki
PKPavel Karpov
Pavel Karpov
NKNoriyuki Kurita
Noriyuki Kurita

15 June 1992 in Physical Review B
Verified
Journal Article
Closed access
PDF file
KKKinya Kobayashi
Kinya Kobayashi
NKNoriyuki Kurita
Noriyuki Kurita
HKHiroki Kumahora
Hiroki Kumahora
KTKazutami Tago
Kazutami Tago
KOKunio Ozawa
Kunio Ozawa
The bond energies of C32 and C60 fullerenes have been calculated by a self-consistent molecular-orbital method based on nonlocal-density-functional theory with the generalized gradient approximation (GGA). These results were compared with those obtained with use of the local-density approximation (LDA). The bond energies calculated with the GGA (C60, 7.24 eV/atom; C32, 6.88 eV/atom) were about 1.3 eV/atom (15%) smaller than those calculated with the LDA, and the GGA result for C60 was found to be in good agreement with the evaluated value from the experimental formation energy. The differences in bond lengths, force constants, and orbital energies for the same molecular structure —except for the core orbitals—between the LDA and GGA were small, compared with the difference in bond energies.

1 August 2021 in Biophysical Chemistry
Verified
Journal Article
Closed access
DSDivya Shaji
Divya Shaji
SYShohei Yamamoto
Shohei Yamamoto
RSRyosuke Saito
Ryosuke Saito
RSRyo Suzuki
Ryo Suzuki
SNShunya Nakamura
Shunya Nakamura
NKNoriyuki Kurita
Noriyuki Kurita

1 March 2018 in Journal of Molecular Graphics and Modelling
Verified
Journal Article
Closed access
RTRyosuke Takeda
Ryosuke Takeda
IKIttetsu Kobayashi
Ittetsu Kobayashi
RSRie Suzuki
Rie Suzuki
KKKentaro Kawai
Kentaro Kawai
AKAtsushi Kittaka
Atsushi Kittaka
NKNoriyuki Kurita
Noriyuki Kurita

1 February 2019 in The Journal of Steroid Biochemistry and Molecular Biology
Verified
Journal Article
Closed access
YTYuta Terauchi
Yuta Terauchi
RSRie Suzuki
Rie Suzuki
RTRyosuke Takeda
Ryosuke Takeda
IKIttetsu Kobayashi
Ittetsu Kobayashi
AKAtsushi Kittaka
Atsushi Kittaka
NKNoriyuki Kurita
Noriyuki Kurita