C. Nagao

发表

Computational design, construction, and characterization of a set of specificity determining residues in protein–protein interactions

K. Mizuguchi, H. Shirai, C. Nagao, 2012, Proteins.

Relationships between functional subclasses and information contained in active‐site and ligand‐binding residues in diverse superfamilies

Kenji Mizuguchi, Nozomi Nagano, Chioko Nagao, 2010, Proteins.

Constructing an in silico three-class predictor of human intestinal absorption with Caco-2 permeability and dried-DMSO solubility.

K. Mizuguchi, Tsuyoshi Esaki, C. Nagao, 2019, Journal of pharmaceutical sciences.

A prospective compound screening contest identified broader inhibitors for Sirtuin 1

Shogo D. Suzuki, Hironori K. Nakamura, Kazuki Z. Yamamoto, 2019, Scientific Reports.

Detecting subtle functional differences in ketopantoate reductase and related enzymes using a rule-based approach with sequence-structure homology recognition scores.

K. Mizuguchi, C. Nagao, S. Mondal, 2010, Protein engineering, design & selection : PEDS.

Development of an in silico prediction system of human renal excretion and clearance from chemical structure information incorporating fraction unbound in plasma as a descriptor

K. Mizuguchi, Tsuyoshi Esaki, C. Nagao, 2019, Scientific Reports.

Expression, purification, crystallization and preliminary crystallographic study of FtsA from methicillin-resistant Staphylococcus aureus.

K. Mizuguchi, C. Nagao, E. Mizohata, 2013, Acta crystallographica. Section F, Structural biology and crystallization communications.

Novel anti-flavivirus drugs targeting the nucleolar distribution of core protein.

K. Mizuguchi, Tsuyoshi Esaki, C. Nagao, 2019, Virology.

Prediction of Detailed Enzyme Functions and Identification of Specificity Determining Residues by Random Forests

Kenji Mizuguchi, Nozomi Nagano, Chioko Nagao, 2014, PloS one.

Computational Model To Predict the Fraction of Unbound Drug in the Brain

Kenji Mizuguchi, Hitoshi Kawashima, Yayoi Natsume-Kitatani, 2019, J. Chem. Inf. Model..

Predicting Fraction Unbound in Human Plasma from Chemical Structure: Improved Accuracy in the Low Value Ranges.

Kenji Mizuguchi, Hitoshi Kawashima, Yayoi Natsume-Kitatani, 2018, Molecular pharmaceutics.

Developing a Kinase-Specific Target Selection Method Using a Structure-Based Machine Learning Approach

Chioko Nagao, Arina Afanasyeva, Kenji Mizuguchi, 2020, Advances and applications in bioinformatics and chemistry : AABC.

AABC_A_278900 27..40

K. Mizuguchi, C. Nagao, A. Afanasyeva, 2020 .

Improved pose and affinity predictions using different protocols tailored on the basis of data availability

Shandar Ahmad, Kenji Mizuguchi, Philip Prathipati, 2016, Journal of Computer-Aided Molecular Design.

Creation of lysine-deficient mutant lymphotoxin-alpha with receptor selectivity by using a phage display system.

K. Mizuguchi, Shandar Ahmad, Y. Yoshioka, 2010, Biomaterials.

High-Contrast Facile Imaging with Target-Directing Fluorescent Molecular Rotors, the N3-Modified Thioflavin T Derivatives.

K. Mizuguchi, M. Kuwahara, C. Nagao, 2018, Biochemistry.

Spectroscopic investigation of the generation of “isomerization” states: Eigenvector analysis of the bend-CP stretch polyad

R. Field, C. Nagao, N. Mikami, 1998 .

Observation of the “isomerization states’’ of HCP by stimulated emission pumping spectroscopy: Comparison between theory and experiment

R. Field, C. Nagao, N. Mikami, 1997 .

Dextran sulfate-resistant A/Puerto Rico/8/34 influenza virus is associated with the emergence of specific mutations in the neuraminidase glycoprotein.

K. Mizuguchi, C. Nagao, K. Yamanishi, 2014, Antiviral research.

An attention network for predicting T cell receptor-peptide binding can associate attention with interpretable protein structural properties

K. Mizuguchi, C. Nagao, Kyohei Koyama, 2023, bioRxiv.

Sagace: A web-based search engine for biomedical databases in Japan

K. Mizuguchi, Yi-an Chen, Ryuichi Sakate, 2012, BMC Research Notes.

Prediction of the secondary structure of short DNA aptamers

Kenji Mizuguchi, Chioko Nagao, Arina Afanasyeva, 2019, Biophysics and physicobiology.

Crystal structure of FtsA from Staphylococcus aureus

K. Mizuguchi, C. Nagao, Y. Tsuchiya, 2014, FEBS letters.

Data Curation can Improve the Prediction Accuracy of Metabolic Intrinsic Clearance

Kenji Mizuguchi, Hitoshi Kawashima, Yayoi Natsume-Kitatani, 2018, Molecular informatics.

Relationships between functional subclasses and information contained in active‐site and ligand‐binding residues in diverse superfamilies

K. Mizuguchi, N. Nagano, C. Nagao, 2010, Proteins.

Attention network for predicting T-cell receptor–peptide binding can associate attention with interpretable protein structural properties

K. Mizuguchi, C. Nagao, Kyohei Koyama, 2023, bioRxiv.

Impact of Hydrogen Bonding on P-Glycoprotein Efflux Transport as Revealed by Evaluation of a De Novo Prediction Model

C. Nagao, Yulong Gou, Suyong Re, 2023, ACS Medicinal Chemistry Letters.

Correlation between evolutionary structural development and protein folding.

T. Yomo, M. Sasai, C. Nagao, 2005, Proceedings of the National Academy of Sciences of the United States of America.