What is she best known for?
The fields of study she is best known for:
Her primary areas of study are Protein structure, Computational biology, Bioinformatics, Genetics and Protein domain.
The study incorporates disciplines such as Structural alignment, Sequence alignment, Protein folding, Protein Data Bank and Sequence in addition to Protein structure.
Her biological study spans a wide range of topics, including Genome, Function, Homology, Structural Classification of Proteins database and Structural genomics.
Christine A. Orengo has included themes like Structure, Sequence, Protein function and Molecular Sequence Annotation in her Bioinformatics study.
The various areas that Christine A. Orengo examines in her Protein domain study include Domain and Genomics.
She interconnects UniProt and Database in the investigation of issues within Domain.
Her most cited work include:
- CATH – a hierarchic classification of protein domain structures (2140 citations)
- InterPro: the integrative protein signature database (1412 citations)
- InterPro in 2017-beyond protein family and domain annotations (946 citations)
What are the main themes of her work throughout her whole career to date?
Christine A. Orengo mostly deals with Computational biology, Protein structure, Genetics, Bioinformatics and Genome.
Her Computational biology research is multidisciplinary, incorporating elements of Domain, Protein domain, Protein family, Structural Classification of Proteins database and Structural genomics.
Her study in Structural genomics is interdisciplinary in nature, drawing from both Protein Data Bank, Selection and Protein Structure Initiative, Genomics.
Her Protein structure research is multidisciplinary, incorporating perspectives in Structural alignment, Sequence alignment, Crystallography, Protein Data Bank and Sequence.
Her Bioinformatics study combines topics in areas such as Sequence and Molecular Sequence Annotation.
Her research in Annotation intersects with topics in Protein function prediction and UniProt.
She most often published in these fields:
- Computational biology (50.82%)
- Protein structure (28.52%)
- Genetics (24.26%)
What were the highlights of her more recent work (between 2017-2021)?
- Computational biology (50.82%)
- Gene (10.82%)
- Protein structure (28.52%)
In recent papers she was focusing on the following fields of study:
Christine A. Orengo mainly focuses on Computational biology, Gene, Protein structure, Protein domain and Structural bioinformatics.
The Computational biology study combines topics in areas such as Genome, Cluster analysis, Function, Protein Data Bank and Protein sequencing.
Her work deals with themes such as Dementia and Neuroscience, which intersect with Gene.
Christine A. Orengo combines subjects such as Alternative splicing and Exon with her study of Protein structure.
Her Protein domain research integrates issues from Enzyme Commission number, Annotation, Protein family, Sequence and Molecular Sequence Annotation.
Her Molecular Sequence Annotation research incorporates elements of Sequence analysis and Sequence alignment.
Between 2017 and 2021, her most popular works were:
- InterPro in 2019: improving coverage, classification and access to protein sequence annotations (703 citations)
- The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens (82 citations)
- Gene3D: Extensive prediction of globular domains in proteins. (57 citations)
In her most recent research, the most cited papers focused on:
Her primary areas of investigation include Computational biology, Gene, UniProt, Information retrieval and Context.
She connects Computational biology with Rapid rate in her research.
Her research in Gene focuses on subjects like Function, which are connected to Protein function prediction and Genome.
Her work on UniProt Knowledgebase as part of general UniProt study is frequently connected to Entry type, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
Her study looks at the relationship between Information retrieval and fields such as Computer graphics, as well as how they intersect with chemical problems.
Her studies in Protein Data Bank integrate themes in fields like Protein structure and Sequence alignment.
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