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D-Index & Metrics

Genetics

D-Index
60
Citations
20212
World Ranking
3118
National Ranking
137

Overview

Kenta Nakai is affiliated with the University of Tokyo in Japan. Their research primarily focuses on the field of Biochemistry, Genetics and Molecular Biology, with a particular emphasis on Molecular Biology, Cancer Research, Genetics, Immunology, and Surgery. The scientist's work encompasses a broad range of topics, including:

  • Single-cell and spatial transcriptomics
  • RNA and protein synthesis mechanisms
  • Machine Learning in Bioinformatics
  • Genomics and Chromatin Dynamics
  • Gene expression and cancer classification
  • Epigenetics and DNA Methylation
  • Immune cells in cancer

The recent scholarly contributions by Kenta Nakai include several papers published between 2022 and 2023. Notable publications are:

  • "iDNA-ABF: multi-scale deep biological language learning model for the interpretable prediction of DNA methylations" (2022), published in Genome Biology
  • "DeepBIO: an automated and interpretable deep-learning platform for high-throughput biological sequence prediction, functional annotation and visualization analysis" (2023), published in Nucleic Acids Research
  • "Predicting protein-peptide binding residues via interpretable deep learning" (2022), published in Bioinformatics
  • "Protein design via deep learning" (2022), published in Briefings in Bioinformatics
  • "scIMC: a platform for benchmarking comparison and visualization analysis of scRNA-seq data imputation methods" (2022), published in Nucleic Acids Research

Kenta Nakai frequently collaborates with a group of co-authors, among whom the most frequent are:

  • Sung-Joon Park
  • Martin Loza
  • Leyi Wei
  • Ruheng Wang
  • Weihang Zhang

The scientist's work appears regularly in several publication venues. These include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Briefings in Bioinformatics
  • Frontiers in Genetics
  • NAR Genomics and Bioinformatics
  • Nucleic Acids Research

Best Publications

  • A knowledge base for predicting protein localization sites in eukaryotic cells

    Kenta Nakai;Minoru Kanehisa

  • The Jmjd3-Irf4 axis regulates M2 macrophage polarization and host responses against helminth infection

    Takashi Satoh;Osamu Takeuchi;Alexis Vandenbon;Koubun Yasuda

  • Complete sequencing and characterization of 21,243 full-length human cDNAs

    Toshio Ota;Yutaka Suzuki;Tetsuo Nishikawa;Tetsuji Otsuki

  • Expert System for predicting protein localization sites in Gram-negative bacteria

    Kenta Nakai;Minoru Kanehisa

  • PrognoScan: a new database for meta-analysis of the prognostic value of genes

    Hideaki Mizuno;Hideaki Mizuno;Kunio Kitada;Kenta Nakai;Akinori Sarai

  • Extensive feature detection of N-terminal protein sorting signals.

    Hideo Bannai;Yoshinori Tamada;Osamu Maruyama;Kenta Nakai

  • T Cell Receptor Stimulation-Induced Epigenetic Changes and Foxp3 Expression Are Independent and Complementary Events Required for Treg Cell Development

    Naganari Ohkura;Naganari Ohkura;Masahide Hamaguchi;Masahide Hamaguchi;Hiromasa Morikawa;Hiromasa Morikawa;Kyoko Sugimura

  • Diversification of transcriptional modulation: Large-scale identification and characterization of putative alternative promoters of human genes

    Kouichi Kimura;Ai Wakamatsu;Yutaka Suzuki;Toshio Ota

  • PSORT-B: Improving protein subcellular localization prediction for Gram-negative bacteria.

    Jennifer L. Gardy;Cory Spencer;Ke Wang;Martin Ester

  • Assessment of prediction accuracy of protein function from protein–protein interaction data

    Haretsugu Hishigaki;Haretsugu Hishigaki;Kenta Nakai;Toshihide Ono;Akira Tanigami

  • DBTBS: a database of transcriptional regulation in Bacillus subtilis containing upstream intergenic conservation information

    Nicolas Sierro;Yuko Makita;Michiel J. L. de Hoon;Kenta Nakai

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

    Takeshi Obayashi;Kengo Kinoshita;Kenta Nakai;Masayuki Shibaoka

  • Integrative Annotation of 21,037 Human Genes Validated by Full-Length cDNA Clones

    Tadashi Imanishi;Takeshi Itoh;Yutaka Suzuki;Claire O'Donovan

  • Protein sorting signals and prediction of subcellular localization.

    Kenta Nakai

  • Cluster analysis of amino acid indices for prediction of protein structure and function.

    Kenta Nakai;Akinori Kidera;Minoru Kanehisa

  • PROTEIN SUBCELLULAR LOCALIZATION PREDICTION WITH WOLF PSORT

    Paul Horton;Keun-Joon Park;Keun-Joon Park;Takeshi Obayashi;Kenta Nakai

  • DBTSS: DataBase of human Transcriptional Start Sites and full-length cDNAs

    Yutaka Suzuki;Riu Yamashita;Kenta Nakai;Sumio Sugano

  • Prediction of Transcriptional Terminators in Bacillus subtilis and Related Species

    Michiel J. L. de Hoon;Yuko Makita;Kenta Nakai;Satoru Miyano

  • DBTSS: DataBase of Human Transcription Start Sites, progress report 2006

    Riu Yamashita;Yutaka Suzuki;Hiroyuki Wakaguri;Katsuki Tsuritani

  • Encyclopedia of bioinformatics and computational biology

    Shoba Ranganathan;Michael Gribskov;Kenta Nakai;Christian Schönbach

Frequent Co-Authors

Yutaka Suzuki
Yutaka Suzuki University of Tokyo
Sumio Sugano
Sumio Sugano University of Tokyo
Satoru Miyano
Satoru Miyano Tokyo Medical and Dental University
Toshihisa Takagi
Toshihisa Takagi University of Tokyo
Takashi Gojobori
Takashi Gojobori King Abdullah University of Science and Technology
Shoba Ranganathan
Shoba Ranganathan Macquarie University
Hitomi Mimuro
Hitomi Mimuro Osaka University
Kengo Kinoshita
Kengo Kinoshita Tohoku University
Minoru Kanehisa
Minoru Kanehisa Kyoto University

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