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.
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