What is he best known for?
The fields of study he is best known for:
The scientist’s investigation covers issues in Biochemistry, Peptide, Computational biology, Plantazolicin and Gene cluster.
His Enzyme, Growth inhibition and Pharmacophore study, which is part of a larger body of work in Biochemistry, is frequently linked to Cdc25, bridging the gap between disciplines.
His Peptide research incorporates themes from Protein structure, Plasma protein binding, Biosynthesis and Protein biosynthesis.
His work in Computational biology addresses subjects such as Genome mining, which are connected to disciplines such as Nosiheptide and Biotechnology.
His study looks at the intersection of Plantazolicin and topics like Bacteriocin with Toxin, Streptococcus pyogenes, Bacillaceae and Bacillus amyloliquefaciens.
The subject of his Gene cluster research is within the realm of Gene.
His most cited work include:
- Ribosomally synthesized and post-translationally modified peptide natural products: Overview and recommendations for a universal nomenclature (1048 citations)
- antiSMASH 4.0-improvements in chemistry prediction and gene cluster boundary identification. (721 citations)
- Minimum Information about a Biosynthetic Gene cluster. (418 citations)
What are the main themes of his work throughout his whole career to date?
Douglas A. Mitchell mainly focuses on Biochemistry, Peptide, Enzyme, Biosynthesis and Computational biology.
His Biochemistry research includes themes of Nitric oxide and Plantazolicin.
His work carried out in the field of Peptide brings together such families of science as Ribosomal RNA, Peptide sequence, Signal peptide and Stereochemistry.
His work on Substrate as part of general Enzyme research is frequently linked to Post translational, thereby connecting diverse disciplines of science.
His studies deal with areas such as In vitro, Antibiotics, Microbiology, Function and Combinatorial chemistry as well as Biosynthesis.
The various areas that Douglas A. Mitchell examines in his Computational biology study include Genome mining, Gene cluster, Gene, Antibiotic resistance and Natural product.
He most often published in these fields:
- Biochemistry (40.74%)
- Peptide (35.19%)
- Enzyme (27.78%)
What were the highlights of his more recent work (between 2018-2021)?
- Peptide (35.19%)
- Gene (18.52%)
- Computational biology (25.00%)
In recent papers he was focusing on the following fields of study:
His main research concerns Peptide, Gene, Computational biology, Enzyme and Biosynthesis.
His research in Peptide intersects with topics in Peptide sequence, Stereochemistry, Heterologous expression and Threonine.
His Gene study is associated with Biochemistry.
His Computational biology study integrates concerns from other disciplines, such as UniProt and Genome mining.
The Substrate, Reductase and Active site research Douglas A. Mitchell does as part of his general Enzyme study is frequently linked to other disciplines of science, such as Orchestration, therefore creating a link between diverse domains of science.
His Biosynthesis research is multidisciplinary, relying on both Combinatorial chemistry, Antibiotics, Microbiology and Function.
Between 2018 and 2021, his most popular works were:
- New developments in RiPP discovery, enzymology and engineering (43 citations)
- Bioinformatic Mapping of Radical S-Adenosylmethionine-Dependent Ribosomally Synthesized and Post-Translationally Modified Peptides Identifies New Cα, Cβ, and Cγ-Linked Thioether-Containing Peptides (38 citations)
- Enzymatic Reconstitution and Biosynthetic Investigation of the Lasso Peptide Fusilassin. (28 citations)
In his most recent research, the most cited papers focused on:
His scientific interests lie mostly in Computational biology, Peptide, Enzyme, Extramural and Genome mining.
He interconnects Euryarchaeota, Phylum, Gene, Archaea and RefSeq in the investigation of issues within Computational biology.
His studies in Peptide integrate themes in fields like Peptide sequence and Stereochemistry.
The study incorporates disciplines such as Protein database and UniProt in addition to Genome mining.
His work in Combinatorial chemistry tackles topics such as Biosynthesis which are related to areas like Threonine, Thioether and Gene cluster.
His Active site study introduces a deeper knowledge of Biochemistry.
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