D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Biology and Biochemistry D-index 55 Citations 11,860 313 World Ranking 10397 National Ranking 769

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Quantum mechanics

Akinori Sarai focuses on DNA, Biochemistry, Amino acid, DNA-binding domain and Protein structure. His research in DNA intersects with topics in Stereochemistry, Binding site and Statistical potential. The study incorporates disciplines such as Representation and Plot in addition to Amino acid.

His DNA-binding domain research is multidisciplinary, incorporating elements of Enthalpy, Mutagenesis and Isothermal titration calorimetry. His Protein structure study combines topics in areas such as Plasma protein binding, Protein secondary structure, Peptide sequence, Computational biology and Moment. His research investigates the link between Biophysics and topics such as Genetics that cross with problems in Binding selectivity.

His most cited work include:

  • Solution structure of a specific DNA complex of the Myb DNA-binding domain with cooperative recognition helices. (412 citations)
  • Identification of genes upregulated in ALK-positive and EGFR/KRAS/ALK-negative lung adenocarcinomas. (400 citations)
  • PrognoScan: a new database for meta-analysis of the prognostic value of genes (349 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are DNA, Computational biology, Genetics, Biochemistry and Crystallography. The various areas that Akinori Sarai examines in his DNA study include Biophysics, Stereochemistry and Molecular dynamics. His Computational biology study combines topics from a wide range of disciplines, such as Protein structure, Mutant, Bioinformatics and Mechanism.

His study in the field of Genome, Translation and Nucleotide also crosses realms of Context. His work in Amino acid, Protein dna, DNA-binding domain, MYB and Binding site is related to Biochemistry. His work in Crystallography is not limited to one particular discipline; it also encompasses Molecule.

He most often published in these fields:

  • DNA (26.75%)
  • Computational biology (25.16%)
  • Genetics (16.88%)

What were the highlights of his more recent work (between 2007-2016)?

  • Computational biology (25.16%)
  • Biophysics (10.83%)
  • DNA (26.75%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Computational biology, Biophysics, DNA, Bioinformatics and Molecular dynamics. His study in Computational biology is interdisciplinary in nature, drawing from both Genetics, Evolvability and Genome. His work carried out in the field of Genetics brings together such families of science as Web server and Protein Data Bank.

His Biophysics study integrates concerns from other disciplines, such as Evolutionary biology, Biochemistry, Kinase inhibition, Interaction network and Data science. He has included themes like Intramolecular force and Sequence in his DNA study. His Molecular dynamics research is multidisciplinary, relying on both Sequence dependent, Base pair, Biological system and Nanotechnology.

Between 2007 and 2016, his most popular works were:

  • Identification of genes upregulated in ALK-positive and EGFR/KRAS/ALK-negative lung adenocarcinomas. (400 citations)
  • PrognoScan: a new database for meta-analysis of the prognostic value of genes (349 citations)
  • Genetic algorithm optimization in drug design QSAR: Bayesian-regularized genetic neural networks (BRGNN) and genetic algorithm-optimized support vectors machines (GA-SVM) (70 citations)

In his most recent research, the most cited papers focused on:

  • Gene
  • DNA
  • Quantum mechanics

Akinori Sarai spends much of his time researching Genetics, Computational biology, Protein structure, DNA microarray and Binding site. His studies in Computational biology integrate themes in fields like Protein sequencing, Positive selection, Entropy and Protein stability. His research investigates the connection between Protein structure and topics such as Amino acid that intersect with problems in Visualization, Force field, Systems biology, Mutant and Stability.

His Binding site research incorporates themes from Peptide sequence, Nucleotide, DNA and Sequence. In general DNA, his work in Base pair is often linked to Bayesian statistics linking many areas of study. His Biochemistry research includes elements of Dipole and Mechanism.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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

Hideaki Mizuno;Hideaki Mizuno;Kunio Kitada;Kenta Nakai;Akinori Sarai.
BMC Medical Genomics (2009)

679 Citations

Identification of genes upregulated in ALK-positive and EGFR/KRAS/ALK-negative lung adenocarcinomas.

Hirokazu Okayama;Takashi Kohno;Yuko Ishii;Yoko Shimada.
Cancer Research (2012)

640 Citations

Solution structure of a specific DNA complex of the Myb DNA-binding domain with cooperative recognition helices.

Kazuhiro Ogata;Souichi Morikawa;Haruki Nakamura;Ai Sekikawa.
Cell (1995)

606 Citations

Unique Mode of GCC Box Recognition by the DNA-binding Domain of Ethylene-responsive Element-binding Factor (ERF Domain) in Plant

Dongyun Hao;Masaru Ohme-Takagi;Akinori Sarai.
Journal of Biological Chemistry (1998)

480 Citations

ProTherm and ProNIT: thermodynamic databases for proteins and protein–nucleic acid interactions

M. D. Shaji Kumar;K. Abdulla Bava;M. Michael Gromiha;Ponraj Prabakaran.
Nucleic Acids Research (2006)

399 Citations

Analysis and prediction of DNA-binding proteins and their binding residues based on composition, sequence and structural information

Shandar Ahmad;M. Michael Gromiha;Akinori Sarai.
Bioinformatics (2004)

396 Citations

ProTherm, version 4.0: thermodynamic database for proteins and mutants

K. Abdulla Bava;M. Michael Gromiha;Hatsuho Uedaira;Koji Kitajima.
Nucleic Acids Research (2004)

359 Citations

Solution structure of a DNA-binding unit of Myb: a helix-turn-helix-related motif with conserved tryptophans forming a hydrophobic core.

Kazuhiro Ogata;Hironobu Hojo;Saburo Aimoto;Takahisa Nakai.
Proceedings of the National Academy of Sciences of the United States of America (1992)

320 Citations

The cavity in the hydrophobic core of Myb DNA-binding domain is reserved for DNA recognition and trans-activation.

Kazuhiro Ogata;Chie Kanei-Ishii;Motoko Sasaki;Hideki Hatanaka.
Nature Structural & Molecular Biology (1996)

293 Citations

ASAView : Database and tool for solvent accessibility representation in proteins

Shandar Ahmad;M. Michael Gromiha;Hamed Fawareh;Akinori Sarai.
BMC Bioinformatics (2004)

286 Citations

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