What is she best known for?
The fields of study she is best known for:
Her primary areas of study are Protein structure, Crystallography, Computational biology, Stereochemistry and Biochemistry.
Her research in Protein structure intersects with topics in Protein tertiary structure, Protein secondary structure, Bioinformatics, Hydrogen bond and Binding site.
Her Crystallography research incorporates themes from Complementarity determining region, Accessible surface area, Molecular recognition and Protein–protein interaction.
Her work deals with themes such as Genetics, Function, Protein superfamily, Structural Classification of Proteins database and Structural genomics, which intersect with Computational biology.
Her Stereochemistry research is multidisciplinary, incorporating perspectives in Ring and Protein Data Bank.
Her study focuses on the intersection of Protein Data Bank and fields such as Sequence alignment with connections in the field of Homology.
Her most cited work include:
- PROCHECK: a program to check the stereochemical quality of protein structures (20391 citations)
- The rapid generation of mutation data matrices from protein sequences (5072 citations)
- AQUA and PROCHECK-NMR: Programs for checking the quality of protein structures solved by NMR* (4285 citations)
What are the main themes of her work throughout her whole career to date?
Janet M. Thornton focuses on Protein structure, Computational biology, Crystallography, Genetics and Biochemistry.
As part of one scientific family, Janet M. Thornton deals mainly with the area of Protein structure, narrowing it down to issues related to the Protein Data Bank, and often Protein Data Bank.
Her Computational biology study combines topics in areas such as Bioinformatics, Genome, Function, Structural Classification of Proteins database and Structural genomics.
Janet M. Thornton has included themes like Molecule and Hydrogen bond in her Crystallography study.
Her research related to Gene and Protein family might be considered part of Genetics.
Her is involved in several facets of Biochemistry study, as is seen by her studies on Enzyme, Plasma protein binding and Active site.
She most often published in these fields:
- Protein structure (44.83%)
- Computational biology (31.32%)
- Crystallography (20.83%)
What were the highlights of her more recent work (between 2012-2021)?
- Computational biology (31.32%)
- Genetics (17.81%)
- Gene (8.43%)
In recent papers she was focusing on the following fields of study:
Her primary areas of investigation include Computational biology, Genetics, Gene, Enzyme and Function.
Her studies in Computational biology integrate themes in fields like Bioinformatics, Enzyme function, Genome, Protein Data Bank and Protein structure.
Her Protein Data Bank research focuses on subjects like Protein Data Bank, which are linked to Set and Information retrieval.
Her study in Protein structure is interdisciplinary in nature, drawing from both UniProt, Sequence alignment and Molecular Sequence Annotation.
Her work investigates the relationship between Gene and topics such as Evolutionary biology that intersect with problems in Genome instability, Transposable element and Telomere.
Her Function study incorporates themes from Systems biology, Biochemistry, DNA and Enzyme Commission number.
Between 2012 and 2021, her most popular works were:
- PDBsum: Structural summaries of PDB entries (341 citations)
- CATH: comprehensive structural and functional annotations for genome sequences (332 citations)
- The Catalytic Site Atlas 2.0: cataloging catalytic sites and residues identified in enzymes (133 citations)
In her most recent research, the most cited papers focused on:
Janet M. Thornton mainly investigates Computational biology, Bioinformatics, Genetics, Enzyme function and Enzyme.
Her Computational biology research includes themes of Protein structure, Protein domain, Function and Molecular Sequence Annotation.
The study incorporates disciplines such as Sequence alignment, Web page, UniProt, Conserved sequence and Protein Data Bank in addition to Protein structure.
Her Bioinformatics research includes elements of Neurodegeneration, Proteasome, Toxicity, Alzheimer's disease and In vivo.
Her Mutation, Gene, CpG site and Protein kinase domain study in the realm of Genetics connects with subjects such as Mechanism.
Her Enzyme study is focused on Biochemistry in general.
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