What is he best known for?
The fields of study he is best known for:
His scientific interests lie mostly in Biochemistry, Ribozyme, Peptide, Genetic code and Amino acid.
His biological study spans a wide range of topics, including RNase P and Transfer RNA, TRNA aminoacylation, T arm.
His Peptide research incorporates themes from In vitro, mRNA display, Stereochemistry and Gene isoform.
His work deals with themes such as Peptide sequence and Ribosome, which intersect with Genetic code.
In his work, Genetics is strongly intertwined with Computational biology, which is a subfield of Peptide sequence.
His biological study focuses on Peptide synthesis.
His most cited work include:
- A highly flexible tRNA acylation method for non-natural polypeptide synthesis. (267 citations)
- Induction and inhibition of Pseudomonas aeruginosa quorum sensing by synthetic autoinducer analogs. (260 citations)
- Induction and inhibition of Pseudomonas aeruginosa quorum sensing by synthetic autoinducer analogs. (260 citations)
What are the main themes of his work throughout his whole career to date?
Hiroaki Suga mostly deals with Biochemistry, Amino acid, Peptide, Stereochemistry and Transfer RNA.
Hiroaki Suga usually deals with Amino acid and limits it to topics linked to Translation and Ribosome.
His study focuses on the intersection of Peptide and fields such as Combinatorial chemistry with connections in the field of Molecule.
The various areas that he examines in his Transfer RNA study include Acylation and Ribozyme.
His biological study spans a wide range of topics, including Aminoacylation and TRNA aminoacylation.
His study looks at the relationship between Genetic code and topics such as Computational biology, which overlap with Drug discovery.
He most often published in these fields:
- Biochemistry (40.41%)
- Amino acid (33.94%)
- Peptide (27.98%)
What were the highlights of his more recent work (between 2018-2021)?
- Peptide (27.98%)
- Amino acid (33.94%)
- Computational biology (15.03%)
In recent papers he was focusing on the following fields of study:
Hiroaki Suga focuses on Peptide, Amino acid, Computational biology, Stereochemistry and Ribosomal RNA.
Peptide is a subfield of Biochemistry that Hiroaki Suga explores.
His work carried out in the field of Amino acid brings together such families of science as Translation and Transfer RNA.
The study incorporates disciplines such as Ribosome and Ribozyme in addition to Transfer RNA.
His Computational biology research includes elements of Affinities, Macrocyclic peptide, Target protein and Protein–protein interaction.
His Stereochemistry research is multidisciplinary, relying on both Residue, Side chain, Peptide bond and Elongation factor.
Between 2018 and 2021, his most popular works were:
- Macrocyclic Peptides as Drug Candidates: Recent Progress and Remaining Challenges (105 citations)
- RNA Display Methods for the Discovery of Bioactive Macrocycles (49 citations)
- De Novo Discovery of Nonstandard Macrocyclic Peptides as Noncompetitive Inhibitors of the Zika Virus NS2B-NS3 Protease. (28 citations)
In his most recent research, the most cited papers focused on:
Hiroaki Suga mainly investigates Peptide, Amino acid, Stereochemistry, Ribosomal RNA and Genetic code.
His Peptide research focuses on mRNA display and how it connects with Peptide library, Enzyme and Chemical synthesis.
His Amino acid research is multidisciplinary, incorporating perspectives in Allosteric regulation and Cell biology.
He combines subjects such as Residue, Side chain and Translation with his study of Stereochemistry.
His study with In vitro involves better knowledge in Biochemistry.
Biochemistry and Molecule are frequently intertwined in his study.
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