K. Kinoshita

发表

Prediction of catalytic residues in enzymes based on known tertiary structure, stability profile, and sequence conservation.

K. Nishikawa, M. Ota, K. Kinoshita, 2003, Journal of molecular biology.

Weak correlation between sequence conservation in promoter regions and in protein-coding regions of human-mouse orthologous gene pairs

K. Nakai, K. Kinoshita, R. Yamashita, 2008, BMC Genomics.

Identification of protein functions from a molecular surface database, eF-site

K. Kinoshita, J. Furui, Haruki Nakamura, 2004, Journal of Structural and Functional Genomics.

Identification of the ligand binding sites on the molecular surface of proteins

K. Kinoshita, Haruki Nakamura, 2005, Protein science : a publication of the Protein Society.

Hub Promiscuity in Protein-Protein Interaction Networks

K. Kinoshita, Haruki Nakamura, Ashwini Patil, 2010, International journal of molecular sciences.

Identification of protein biochemical functions by similarity search using the molecular surface database eF‐site

K. Kinoshita, Haruki Nakamura, 2003, Protein science : a publication of the Protein Society.

Exhaustive comparison and classification of ligand-binding surfaces in proteins

Kengo Kinoshita, Haruki Nakamura, Akira R Kinjo, 2013, Protein science : a publication of the Protein Society.

Structural motif of phosphate-binding site common to various protein superfamilies: all-against-all structural comparison of protein-mononucleotide complexes.

N Go, N. Go, K. Kinoshita, 1999, Protein engineering.

Development of new indices to evaluate protein-protein interfaces: assembling space volume, assembling space distance, and global shape descriptor.

Kengo Kinoshita, K. Kinoshita, M. Maeda, 2009, Journal of molecular graphics & modelling.

Docking of protein molecular surfaces with evolutionary trace analysis

Kengo Kinoshita, Haruki Nakamura, Yuko Tsuchiya, 2007, Proteins.

Domain distribution and intrinsic disorder in hubs in the human protein–protein interaction network

Kengo Kinoshita, Haruki Nakamura, Ashwini Patil, 2010, Protein science : a publication of the Protein Society.

Maternity Log study: a longitudinal lifelog monitoring and multiomics analysis for the early prediction of complicated pregnancy

K. Kinoshita, R. Yamashita, M. Nagasaki, 2019, BMJ Open.

A novel strategy to search conserved transcription factor binding sites among coexpressing genes in human.

K. Nakai, K. Kinoshita, S. Miyano, 2008, Genome informatics. International Conference on Genome Informatics.

Rank of Correlation Coefficient as a Comparable Measure for Biological Significance of Gene Coexpression

K. Kinoshita, T. Obayashi, 2009, DNA research : an international journal for rapid publication of reports on genes and genomes.

Accidental Interaction between PDZ Domains and Diclofenac Revealed by NMR-Assisted Virtual Screening

M. Ota, K. Kinoshita, H. Hiroaki, 2013, Molecules.

ATTED-II in 2018: A Plant Coexpression Database Based on Investigation of the Statistical Property of the Mutual Rank Index

Kengo Kinoshita, Shu Tadaka, Yuki Kagaya, 2017, Plant & cell physiology.

Validation of multiple single nucleotide variation calls by additional exome analysis with a semiconductor sequencer to supplement data of whole-genome sequencing of a human population

K. Kinoshita, J. Yasuda, M. Nagasaki, 2014, BMC Genomics.

Genome analyses for the Tohoku Medical Megabank Project towards establishment of personalized healthcare

K. Kinoshita, J. Yasuda, M. Nagasaki, 2018, Journal of biochemistry.

Identification of genetic alterations in extramammary Paget disease using whole exome analysis.

K. Kinoshita, J. Yasuda, Y. Kiniwa, 2019, Journal of dermatological science.

Regional genetic differences among Japanese populations and performance of genotype imputation using whole-genome reference panel of the Tohoku Medical Megabank Project

K. Kinoshita, J. Yasuda, M. Nagasaki, 2018, BMC Genomics.

Blind prediction of interfacial water positions in CAPRI

Kengo Kinoshita, Haruki Nakamura, Xiaoqin Zou, 2014, Proteins.

Facial UV photo imaging for skin pigmentation assessment using conditional generative adversarial networks

K. Kinoshita, G. Tamiya, S. Aiba, 2021, Scientific Reports.

Construction of full-length Japanese reference panel of class I HLA genes with single-molecule, real-time sequencing

K. Kinoshita, K. Misawa, J. Yasuda, 2018, The Pharmacogenomics Journal.

A 12-kb structural variation in progressive myoclonic epilepsy was newly identified by long-read whole-genome sequencing

Kengo Kinoshita, Masao Nagasaki, Katsushi Tokunaga, 2019, Journal of Human Genetics.

ATTED-II in 2016: A Plant Coexpression Database Towards Lineage-Specific Coexpression

Kengo Kinoshita, Shu Tadaka, Takeshi Obayashi, 2015, Plant & cell physiology.

Structure‐based prediction of DNA‐binding sites on proteins Using the empirical preference of electrostatic potential and the shape of molecular surfaces

Kengo Kinoshita, Haruki Nakamura, Yuko Tsuchiya, 2004, Proteins.

The Tohoku Medical Megabank Project: Design and Mission.

Hiroshi Tanaka, Yasuyuki Taki, Kengo Kinoshita, 2016, Journal of epidemiology.

Mutational Analysis of Block and Facilitation of HERG Current by A Class III Anti-Arrhythmic Agent, Nifekalant

K. Kinoshita, Y. Fukunishi, Haruki Nakamura, 2007, Channels.

ATTED-II Updates: Condition-Specific Gene Coexpression to Extend Coexpression Analyses and Applications to a Broad Range of Flowering Plants

Kengo Kinoshita, Takeshi Obayashi, Kota Kasahara, 2011, Plant & cell physiology.

Coexpression landscape in ATTED-II: usage of gene list and gene network for various types of pathways

Kengo Kinoshita, Takeshi Obayashi, K. Kinoshita, 2010, Journal of Plant Research.

Analyses on hydrophobicity and attractiveness of all‐atom distance‐dependent potentials

K. Kinoshita, T. Ishida, M. Shirota, 2009, Protein science : a publication of the Protein Society.

Low birth weight and abnormal pre-pregnancy body mass index were at higher risk for hypertensive disorders of pregnancy.

K. Kinoshita, S. Kuriyama, M. Nagai, 2020, Pregnancy hypertension.

Improved metabolomic data-based prediction of depressive symptoms using nonlinear machine learning with feature selection

Kengo Kinoshita, Makoto Yamada, Masao Ueki, 2020, Translational Psychiatry.

Japonica Array NEO with increased genome-wide coverage and abundant disease risk SNPs

K. Kinoshita, J. Yasuda, G. Tamiya, 2020, bioRxiv.

3.5KJPNv2, An allele frequency panel of 3,552 Japanese Individuals

K. Kinoshita, J. Yasuda, M. Nagasaki, 2019, bioRxiv.

3.5KJPNv2: an allele frequency panel of 3552 Japanese individuals including the X chromosome

K. Kinoshita, J. Yasuda, M. Nagasaki, 2019, Human Genome Variation.

Estimating carrier frequencies of newborn screening disorders using a whole-genome reference panel of 3552 Japanese individuals

K. Kinoshita, J. Yasuda, M. Nagasaki, 2019, Human Genetics.

Novel candidates of pathogenic variants of the BRCA1 and BRCA2 genes in a 3,552 Japanese whole-genome sequence dataset (3.5KJPNv2)

K. Kinoshita, J. Yasuda, Y. Yamaguchi-Kabata, 2020, bioRxiv.

Omics research project on prospective cohort studies from the Tohoku Medical Megabank Project

K. Kinoshita, J. Yasuda, M. Nagasaki, 2018, Genes to cells : devoted to molecular & cellular mechanisms.

Landscape of protein–small ligand binding modes

K. Kinoshita, K. Kasahara, 2016, Protein science : a publication of the Protein Society.

Theoretical characterisation of strand cross-correlation in ChIP-seq

K. Kinoshita, Hayato Anzawa, Hitoshi Yamagata, 2019, BMC Bioinform..

Functional Assessment of 12 Rare Allelic CYP2C9 Variants Identified in a Population of 4773 Japanese Individuals

K. Kinoshita, M. Hiratsuka, A. Oda, 2021, Journal of personalized medicine.

A Database for Comparative Analysis of Tunicate Promoter Sequences

K. Nakai, K. Kinoshita, R. Yamashita, 2005 .

GWAS Identified IL4R and the Major Histocompatibility Complex Region as the Associated Loci of Total Serum IgE Levels in 9,260 Japanese Individuals

K. Kinoshita, G. Tamiya, A. Hozawa, 2021, Journal of Investigative Dermatology.

Design and Progress of Oral Health Examinations in the Tohoku Medical Megabank Project.

K. Kinoshita, M. Kikuya, S. Kuriyama, 2020, The Tohoku journal of experimental medicine.

Landscape of electrophilic and inflammatory stress-mediated gene regulation in human lymphoblastoid cell lines.

K. Kinoshita, R. Yamashita, Masayuki Yamamoto, 2020, Free radical biology & medicine.

Wide-Targeted Metabolome Analysis Identifies Potential Biomarkers for Prognosis Prediction of Epithelial Ovarian Cancer

K. Kinoshita, J. Yasuda, M. Shimada, 2021, Toxins.

Key amino acid residues required for aryl migration catalysed by the cytochrome P450 2-hydroxyisoflavanone synthase.

Y. Sawada, K. Kinoshita, T. Aoki, 2002, The Plant journal : for cell and molecular biology.

Establishment of Integrated Biobank for Precision Medicine and Personalized Healthcare: The Tohoku Medical Megabank Project

K. Kinoshita, G. Tamiya, R. Shimizu, 2019, JMA journal.

Zinc finger-IRF composite elements bound by Ikaros/IRF4 complexes function as gene repression in plasma cell.

K. Kinoshita, K. Nakayama, K. Kimura, 2018, Blood advances.

Intramolecular Interaction of SUR2 Subtypes for Intracellular ADP-Induced Differential Control of KATP Channels

K. Kinoshita, Haruki Nakamura, Y. Tano, 2002, Circulation research.

ALCOdb: Gene Coexpression Database for Microalgae

K. Kinoshita, H. Ohta, Yuichi Aoki, 2015, Plant & cell physiology.

Functional Characterization of 40 CYP3A4 Variants by Assessing Midazolam 1′-Hydroxylation and Testosterone 6β-Hydroxylation

K. Kinoshita, M. Hiratsuka, A. Oda, 2020, Drug Metabolism and Disposition.

Correction: Patil, A. et al. Hub Promiscuity in Protein-Protein Interaction Networks. Int. J. Mol. Sci. 2010, 11, 1930-1943

K. Kinoshita, Haruki Nakamura, Ashwini Patil, 2010, International Journal of Molecular Sciences.

High levels of chromosomal instability facilitate the tumor growth and sphere formation

K. Kinoshita, K. Nakayama, R. Funayama, 2022, Cancer science.

PNPO-PLP Axis Senses Prolonged Hypoxia by Regulating Lysosomal Activity

K. Kinoshita, F. Katsuoka, F. Miura, 2022, bioRxiv.

Maternal Baseline Characteristics and Perinatal Outcomes: The Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study

K. Kinoshita, M. Kikuya, S. Kuriyama, 2020, Journal of epidemiology.

Absolute quality evaluation of protein model structures using statistical potentials with respect to the native and reference states

K. Kinoshita, T. Ishida, M. Shirota, 2011, Proteins.

A 12-kb structural variation in progressive myoclonic epilepsy was newly identified by long-read whole-genome sequencing

K. Kinoshita, M. Nagasaki, N. Matsumoto, 2019, Journal of Human Genetics.

De novo profile generation based on sequence context specificity with the long short-term memory network

Kazunori D. Yamada, K. Kinoshita, 2017, bioRxiv.

ATTED-II: a database of co-expressed genes and cis elements for identifying co-regulated gene groups in Arabidopsis

Kengo Kinoshita, Kenta Nakai, Shinpei Hayashi, 2006, Nucleic Acids Res..

Advances and Applications in Bioinformatics and Chemistry a Novel Biclustering Approach with Iterative Optimization to Analyze Gene Expression Data

Kengo Kinoshita, Motonori Ota, M. Ota, 2022 .

Identification of critical genetic variants associated with metabolic phenotypes of the Japanese population

K. Kinoshita, G. Tamiya, D. Saigusa, 2020, Communications biology.

Function Prediction of Genes: From Molecular Function to Cellular Function

Kengo Kinoshita, Takeshi Obayashi, K. Kinoshita, 2011 .

K. Kinoshita, P. Gascard, N. Mohandas, 2010, The Biochemical journal.

Security controls in an integrated Biobank to protect privacy in data sharing: rationale and study design

Hiroshi Tanaka, Kengo Kinoshita, Masao Nagasaki, 2017, BMC Medical Informatics and Decision Making.

Zn2+-Binding to the Voltage-Gated Proton Channel Hv1/VSOP.

Y. Okamura, K. Kinoshita, A. Nakagawa, 2018, The journal of physical chemistry. B.

Machine learning for effectively avoiding overfitting is a crucial strategy for the genetic prediction of polygenic psychiatric phenotypes

K. Kinoshita, G. Tamiya, H. Tomita, 2020, Translational Psychiatry.

Prediction of disordered regions in proteins based on the meta approach

Kengo Kinoshita, Takashi Ishida, K. Kinoshita, 2008, Bioinform..

PrDOS: prediction of disordered protein regions from amino acid sequence

Kengo Kinoshita, Takashi Ishida, K. Kinoshita, 2007, Nucleic Acids Res..

New tools and functions in data‐out activities at Protein Data Bank Japan (PDBj)

Hirofumi Suzuki, K. Kinoshita, T. Kawabata, 2017, Protein science : a publication of the Protein Society.

A novel circular ssDNA virus of the phylum Cressdnaviricota discovered in metagenomic data from otter clams (Lutraria rhynchaena)

K. Kinoshita, Oanh T. P. Kim, K. Yura, 2020, Archives of Virology.

Structural basis for the membrane association of ankyrinG via palmitoylation

Y. Okamura, K. Kinoshita, A. Nakagawa, 2016, Scientific Reports.

Pathogenic mutations identified by a multimodality approach in 117 Japanese Fanconi anemia patients

K. Kinoshita, S. Miyano, Y. Shiraishi, 2019, Haematologica.

Evaluation of reported pathogenic variants and their frequencies in a Japanese population based on a whole-genome reference panel of 2049 individuals

K. Kinoshita, R. Yamashita, J. Yasuda, 2018, Journal of Human Genetics.

Rare variant discovery by deep whole-genome sequencing of 1,070 Japanese individuals

Kengo Kinoshita, Masao Nagasaki, Naoki Nariai, 2015, Nature Communications.

Comparison of Kit-Based Metabolomics with Other Methodologies in a Large Cohort, towards Establishing Reference Values

T. Bamba, K. Kinoshita, A. Hozawa, 2021, Metabolites.

ATTED-II in 2018: A Plant Coexpression Database Based on Investigation of the Statistical Property of the Mutual Rank Index

Kengo Kinoshita, Shu Tadaka, Yuki Kagaya, 2018, Plant & cell physiology.

Construction and integration of three de novo Japanese human genome assemblies toward a population-specific reference

K. Kinoshita, J. Yasuda, G. Tamiya, 2019, bioRxiv.

A genotype imputation method for de-identified haplotype reference information by using recurrent neural network

Gen Tamiya, Shu Tadaka, Fumiki Katsuoka, 2020, PLoS Comput. Biol..

The structural origin of metabolic quantitative diversity

Kengo Kinoshita, Masao Nagasaki, Takanori Hasegawa, 2016, Scientific Reports.

Enhancer remodeling promotes tumor-initiating activity in NRF2-activated non-small cell lung cancers

K. Kinoshita, A. Sakurada, Masayuki Yamamoto, 2020, Nature Communications.

Whole exome sequencing and establishment of an organoid culture of the carcinoma showing thymus-like differentiation (CASTLE) of the parotid gland

K. Kinoshita, T. Furukawa, T. Ogawa, 2021, Virchows Archiv.

A pro-diabetogenic mtDNA polymorphism in the mitochondrial-derived peptide, MOTS-c

K. Kinoshita, E. Miyamoto-Mikami, A. Hevener, 2019, bioRxiv.

Structural characterization of single nucleotide variants at ligand binding sites and enzyme active sites of human proteins

Kazunori D. Yamada, K. Kinoshita, H. Nishi, 2016, Biophysics and physicobiology.

Distribution of single‐nucleotide variants on protein–protein interaction sites and its relationship with minor allele frequency

Kengo Kinoshita, Hafumi Nishi, Junichi Nakata, 2015, Protein science : a publication of the Protein Society.

Computational Analysis of microRNA Recognition Site

K. Nakai, K. Kinoshita, R. Yamashita, 2005 .

Establishment of Protocols for Global Metabolomics by LC-MS for Biomarker Discovery

Kengo Kinoshita, Osamu Tanabe, Yasutake Katoh, 2016, PloS one.

A cavity with an appropriate size is the basis of the PPIase activity.

Kengo Kinoshita, Nobutoshi Ito, Teikichi Ikura, 2008, Protein engineering, design & selection : PEDS.

Matataki: an ultrafast mRNA quantification method for large-scale reanalysis of RNA-Seq data

K. Kinoshita, Yasunobu Okamura, 2018, BMC Bioinform..

COXPRESdb v7: a gene coexpression database for 11 animal species supported by 23 coexpression platforms for technical evaluation and evolutionary inference

Kengo Kinoshita, Shu Tadaka, Yuki Kagaya, 2018, Nucleic Acids Res..

Cohort Profile: Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study (TMM BirThree Cohort Study): rationale, progress and perspective

K. Kinoshita, M. Kikuya, J. Yasuda, 2019, International journal of epidemiology.

Inflammatory responses induce an identity crisis of alveolar macrophages, leading to pulmonary alveolar proteinosis

K. Kinoshita, K. Nakayama, Yoshiaki Ito, 2017, The Journal of Biological Chemistry.

Assessing the utility of gene co-expression stability in combination with correlation in the analysis of protein-protein interaction networks

Kengo Kinoshita, Kenta Nakai, Ashwini Patil, 2011, BMC Genomics.

The return of individual genomic results to research participants: design and pilot study of Tohoku Medical Megabank Project

K. Kinoshita, J. Yasuda, S. Kuriyama, 2021, Journal of Human Genetics.

Discrepancies between human DNA, mRNA and protein reference sequences and their relation to single nucleotide variants in the human population

Kengo Kinoshita, Matsuyuki Shirota, K. Kinoshita, 2016, Database J. Biol. Databases Curation.

Construction of JRG (Japanese reference genome) with single-molecule real-time sequencing

K. Kinoshita, K. Misawa, J. Yasuda, 2019, Human Genome Variation.

Probabilistic description of protein alignments for sequences and structures

Kengo Kinoshita, Ryotaro Koike, Akinori Kidera, 2004, Proteins.

Novel candidates of pathogenic variants of the BRCA1 and BRCA2 genes from a dataset of 3,552 Japanese whole genomes (3.5KJPNv2)

K. Kinoshita, J. Yasuda, Y. Yamaguchi-Kabata, 2021, PloS one.

NCMine: Core-peripheral based functional module detection using near-clique mining

Kengo Kinoshita, Shu Tadaka, K. Kinoshita, 2016, Bioinform..

eF-site and PDBjViewer: database and viewer for protein functional sites

Kengo Kinoshita, Haruki Nakamura, K. Kinoshita, 2004, Bioinform..

Protein informatics towards function identification.

Kengo Kinoshita, Haruki Nakamura, K. Kinoshita, 2003, Current opinion in structural biology.

Analysis of Complementarity of Protein-DNA Interactions Using the Electrostatic Potential and the Molecular Surface Geometry

K. Kinoshita, Haruki Nakamura, Y. Tsuchiya, 2002 .

Comparison of Geometries and Properties of Protein Molecular Surface for Structure-Based Function Prediction

K. Kinoshita, J. Furui, Haruki Nakamura, 2000 .

Multi-dimensional correlations for gene coexpression and application to the large-scale data of Arabidopsis

Kengo Kinoshita, Takeshi Obayashi, K. Kinoshita, 2009, Bioinform..

COXPRESdb in 2015: coexpression database for animal species by DNA-microarray and RNAseq-based expression data with multiple quality assessment systems

Kengo Kinoshita, Satoshi Ito, Shu Tadaka, 2014, Nucleic Acids Res..

COXPRESdb: a database of comparative gene coexpression networks of eleven species for mammals

Kengo Kinoshita, Satoshi Ito, Shu Tadaka, 2012, Nucleic Acids Res..

COXPRESdb: a database to compare gene coexpression in seven model animals

Kengo Kinoshita, Takeshi Obayashi, K. Kinoshita, 2010, Nucleic Acids Res..

COXPRESdb: a database of coexpressed gene networks in mammals

Kengo Kinoshita, Shinpei Hayashi, Hiroyuki Ohta, 2007, Nucleic Acids Res..

Prediction and Characterization of Disorder-Order Transition Regions in Proteins by Deep Learning

Kazunori D. Yamada, K. Kinoshita, H. Nishi, 2021, bioRxiv.

Study Profile of the Tohoku Medical Megabank Community-Based Cohort Study

K. Kinoshita, S. Nishizuka, M. Kikuya, 2020, Journal of epidemiology.

Genome-wide identification of inter-individually variable DNA methylation sites improves the efficacy of epigenetic association studies

K. Kinoshita, J. Yasuda, M. Nagasaki, 2017, npj Genomic Medicine.

Ethnic and trans-ethnic genome-wide association studies identify new loci influencing Japanese Alzheimer’s disease risk

T. Morizono, K. Kinoshita, K. Ozaki, 2021, Translational Psychiatry.

Construction of full-length Japanese reference panel of class I HLA genes with single-molecule, real-time sequencing

K. Kinoshita, K. Misawa, J. Yasuda, 2018, The Pharmacogenomics Journal.

Estimation of the carrier frequencies and proportions of potential patients by detecting causative gene variants associated with autosomal recessive bone dysplasia using a whole-genome reference panel of Japanese individuals

K. Kinoshita, J. Yasuda, Y. Yamaguchi-Kabata, 2021, Human Genome Variation.

Discrimination between biological interfaces and crystal-packing contacts

Kengo Kinoshita, Haruki Nakamura, Yuko Tsuchiya, 2008, Advances and applications in bioinformatics and chemistry : AABC.

Community-wide assessment of protein-interface modeling suggests improvements to design methodology.

Kengo Kinoshita, Haruki Nakamura, Genki Terashi, 2011, Journal of molecular biology.

Comparison of Gene Coexpression Profiles and Construction of Conserved Gene Networks to Find Functional Modules

K. Kinoshita, T. Obayashi, Yasunobu Okamura, 2015, PloS one.

jMorp: Japanese Multi Omics Reference Panel

Kengo Kinoshita, Jin Inoue, Shu Tadaka, 2017, Nucleic Acids Res..

Oral Microbiome Analysis in Prospective Genome Cohort Studies of the Tohoku Medical Megabank Project

K. Kinoshita, R. Yamashita, S. Kuriyama, 2021, Frontiers in Cellular and Infection Microbiology.

Genome-wide association meta-analysis identifies GP2 gene risk variants for pancreatic cancer

Y. Kamatani, Y. Okada, T. Kawaguchi, 2020, Nature Communications.

Genome-wide association meta-analysis identifies novel GP2 gene risk variants for pancreatic cancer in the Japanese population

Y. Kamatani, Y. Okada, T. Kawaguchi, 2018 .

Body mass index and colorectal cancer risk: A Mendelian randomization study

K. Kinoshita, A. Goto, K. Matsuo, 2021, Cancer science.

Crystal structure of the conserved protein TT1542 from Thermus thermophilus HB8

Kengo Kinoshita, Haruki Nakamura, Motonori Ota, 2003, Protein science : a publication of the Protein Society.

Effects of surface‐to‐volume ratio of proteins on hydrophilic residues: Decrease in occurrence and increase in buried fraction

Kengo Kinoshita, Takashi Ishida, Matsuyuki Shirota, 2008, Protein science : a publication of the Protein Society.

Development of a system combining comprehensive genotyping and organoid cultures for identifying and testing genotype-oriented personalised medicine for pancreatobiliary cancers.

R. Higuchi, Masakazu Yamamoto, K. Kinoshita, 2021, European journal of cancer.

jMorp updates in 2020: large enhancement of multi-omics data resources on the general Japanese population

Kengo Kinoshita, Gen Tamiya, Shu Tadaka, 2020, Nucleic Acids Res..

Identification of Dominant Transcripts in Oxidative Stress Response by a Full-Length Transcriptome Analysis

K. Kinoshita, Masayuki Yamamoto, N. Ishida, 2020, Molecular and Cellular Biology.

ATTED-II provides coexpressed gene networks for Arabidopsis

Kengo Kinoshita, Shinpei Hayashi, Hiroyuki Ohta, 2008, Nucleic Acids Res..

SR-B1 Is a Silica Receptor that Mediates Canonical Inflammasome Activation.

K. Kinoshita, M. Tashiro, N. Morimoto, 2017, Cell reports.

Development of a new meta-score for protein structure prediction from seven all-atom distance dependent potentials using support vector regression.

K. Kinoshita, T. Ishida, M. Shirota, 2009, Genome informatics. International Conference on Genome Informatics.

Ligand-binding site prediction of proteins based on known fragment–fragment interactions

Kengo Kinoshita, Kota Kasahara, Toshihisa Takagi, 2010, Bioinform..

Protein structure databases with new web services for structural biology and biomedical research

Akira R. Kinjo, Kengo Kinoshita, Haruki Nakamura, 2008, Briefings Bioinform..

Value of global metabolomics in association with diagnosis and clinicopathological factors of renal cell carcinoma

K. Kinoshita, N. Mano, D. Saigusa, 2019, International journal of cancer.

ATTED-II in 2014: Evaluation of Gene Coexpression in Agriculturally Important Plants

Kengo Kinoshita, Shu Tadaka, Takeshi Obayashi, 2014, Plant & cell physiology.

Functional Characterization of 21 Rare Allelic CYP1A2 Variants Identified in a Population of 4773 Japanese Individuals by Assessing Phenacetin O-Deethylation

K. Kinoshita, M. Hiratsuka, A. Oda, 2021, Journal of personalized medicine.

Longitudinal plasma amino acid profiling with maternal genomic background throughout human pregnancy

K. Kinoshita, R. Yamashita, J. Yasuda, 2020 .

Improved metabolomic data-based prediction of depressive symptoms using nonlinear machine learning with feature selection

K. Kinoshita, G. Tamiya, H. Tomita, 2020, Translational Psychiatry.

Tim4 recognizes carbon nanotubes and mediates phagocytosis leading to granuloma formation.

K. Kinoshita, A. Takada, S. Nagata, 2021, Cell reports.

Carbon nanotube recognition by human Siglec-14 provokes inflammation

K. Kinoshita, S. Toyokuni, M. Nakayama, 2023, Nature Nanotechnology.

Nm23/nucleoside diphosphate kinase-A as a potent prognostic marker in invasive pancreatic ductal carcinoma identified by proteomic analysis of laser micro-dissected formalin-fixed paraffin-embedded tissue

T. Rikiyama, K. Kinoshita, Takashi Suzuki, 2012, Clinical Proteomics.

PiSite: a database of protein interaction sites using multiple binding states in the PDB

Kengo Kinoshita, Takashi Ishida, Miho Higurashi, 2008, Nucleic Acids Res..

Solution structure of the RWD domain of the mouse GCN2 protein

K. Kinoshita, J. Kawai, Piero Carninci, 2004, Protein science : a publication of the Protein Society.

Identification of transient hub proteins and the possible structural basis for their multiple interactions

Kengo Kinoshita, Takashi Ishida, Miho Higurashi, 2008, Protein science : a publication of the Protein Society.

Analyses of homo-oligomer interfaces of proteins from the complementarity of molecular surface, electrostatic potential and hydrophobicity.

Kengo Kinoshita, Haruki Nakamura, Yuko Tsuchiya, 2006, Protein engineering, design & selection : PEDS.

Molecular mechanism of depolarization-dependent inactivation in W366F mutant of Kv1.2

K. Kinoshita, N. Yoshida, M. Shirota, 2018, bioRxiv.

Molecular mechanism of depolarization-dependent inactivation in W366F mutant of Kv1.2

K. Kinoshita, N. Yoshida, M. Shirota, 2018, bioRxiv.

Involvement of I-BAR protein IRSp53 in tumor cell growth via extracellular microvesicle secretion

K. Kinoshita, G. Scita, Y. Murakami, 2020, bioRxiv.

GWAS of 9,260 Japanese individuals identified IL4R and the MHC region as associated loci of total serum IgE levels.

K. Kinoshita, G. Tamiya, A. Hozawa, 2021, The Journal of investigative dermatology.

Estimating carrier frequencies of newborn screening disorders using a whole-genome reference panel of 3552 Japanese individuals

K. Kinoshita, J. Yasuda, M. Nagasaki, 2019, Human Genetics.

eF-seek: prediction of the functional sites of proteins by searching for similar electrostatic potential and molecular surface shape

Kengo Kinoshita, Haruki Nakamura, Yoichi Murakami, 2007, Nucleic Acids Res..

PreDs: a server for predicting dsDNA-binding site on protein molecular surfaces

Kengo Kinoshita, Haruki Nakamura, Yuko Tsuchiya, 2005, Bioinform..

Cryo-EM structures of human zinc transporter ZnT7 reveal the mechanism of Zn2+ uptake into the Golgi apparatus

K. Kinoshita, S. Iwata, K. Inaba, 2022, bioRxiv.

Analyses of the general rule on residue pair frequencies in local amino acid sequences of soluble, ordered proteins

K. Kinoshita, M. Shirota, 2013, Protein science : a publication of the Protein Society.

Deficiency of CHAMP1, a gene related to intellectual disability, causes impaired neuronal development and a mild behavioural phenotype

T. Abe, K. Kinoshita, T. Miyakawa, 2022, Brain communications.

Salivary gland cancer organoids are valid for preclinical genotype-oriented medical precision trials

K. Kinoshita, T. Furukawa, T. Ogawa, 2023, iScience.

CEBPB is Required for NRF2-Mediated Drug Resistance in NRF2-Activated Non-Small Cell Lung Cancer Cells.

K. Kinoshita, F. Katsuoka, H. Motohashi, 2022, Journal of biochemistry.

Guanine nucleotide-binding protein 1 is one of the key molecules contributing to cancer cell radioresistance

Kengo Kinoshita, Manabu Fukumoto, Shiro Mori, 2014, Cancer science.

Elevator motion of chloride ion transporter SLC26A9 induced by STAS domain

K. Kinoshita, H. Nishi, S. Omori, 2023, bioRxiv.

Management of family relationship information for a three-generation cohort study

Kengo Kinoshita, Yuki Sato, Takako Takai-Igarashi, 2019, bioRxiv.

Running head: ATTED-II in 2014: Gene Coexpression Evaluation

Kengo Kinoshita, Satoshi Ito, Shu Tadaka, 2014 .

Diversity of functions of proteins with internal symmetry in spatial arrangement of secondary structural elements

N Go, N. Go, K. Kinoshita, 1999, Protein science : a publication of the Protein Society.

Assessing the utility of gene co-expression stability in combination with correlation in the analysis of protein-protein interaction networks

K. Kinoshita, Ashwini Patil, Kenta Nakai, 2011, BMC Genomics.

IBiSA_Tools: A Computational Toolkit for Ion-Binding State Analysis in Molecular Dynamics Trajectories of Ion Channels

Kengo Kinoshita, Kota Kasahara, K. Kinoshita, 2016, PloS one.

Outlier detection for questionnaire data in biobanks.

Kengo Kinoshita, Masao Ueki, Gen Tamiya, 2019, International journal of epidemiology.

VaProS: a database-integration approach for protein/genome information retrieval

Kengo Kinoshita, Takeshi Kawabata, Kazuho Ikeo, 2016, Journal of Structural and Functional Genomics.

Ring and zipper formation is the key to understanding the structural variety in all‐β proteins

Kengo Kinoshita, Ryotaro Koike, Akinori Kidera, 2003, FEBS letters.

Blind prediction of interfacial water positions in CAPRI

Julie C. Mitchell, Jeffrey J. Gray, H. Wolfson, 2014, Proteins.

SAHG, a comprehensive database of predicted structures of all human proteins

Kengo Kinoshita, Kana Shimizu, Tamotsu Noguchi, 2010, Nucleic Acids Res..

Advances and Applications in Bioinformatics and Chemistry a Novel Biclustering Approach with Iterative Optimization to Analyze Gene Expression Data

M. Ota, K. Kinoshita, S. Sutheeworapong, 2022 .

Matataki: an ultrafast mRNA quantification method for large-scale reanalysis of RNA-Seq data

Kengo Kinoshita, Yasunobu Okamura, K. Kinoshita, 2018, BMC Bioinformatics.