What is he best known for?
The fields of study he is best known for:
Silvio C. E. Tosatto focuses on Protein structure, Computational biology, Annotation, Data mining and Protein Data Bank.
His studies deal with areas such as Intrinsically disordered proteins, Database and Protein folding as well as Protein structure.
His Computational biology research incorporates themes from Protein Families Database, Gene, Molecular Sequence Annotation and Bioinformatics.
His research in Molecular Sequence Annotation intersects with topics in Functional annotation, Sequence Ontology, Tandem Repeat Sequence and Repetitive Sequences.
His Annotation research is multidisciplinary, relying on both Domain, Protein function prediction, Function, Protein family and InterProScan.
His Data mining research is multidisciplinary, incorporating elements of Algorithm and Genome.
His most cited work include:
- The Pfam protein families database in 2019. (1886 citations)
- InterPro in 2017-beyond protein family and domain annotations (946 citations)
- InterPro in 2019: improving coverage, classification and access to protein sequence annotations (703 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Computational biology, Protein structure, Genetics, Intrinsically disordered proteins and Cell biology.
His Computational biology study combines topics in areas such as Annotation, Bioinformatics, Genome and Protein Data Bank.
His study in Annotation is interdisciplinary in nature, drawing from both Protein function prediction and Molecular Sequence Annotation.
As part of one scientific family, Silvio C. E. Tosatto deals mainly with the area of Protein structure, narrowing it down to issues related to the Protein Data Bank, and often UniProt and Data mining.
His Data mining research focuses on subjects like Artificial intelligence, which are linked to Protein secondary structure.
The various areas that Silvio C. E. Tosatto examines in his Intrinsically disordered proteins study include Protein tertiary structure and Database.
He most often published in these fields:
- Computational biology (25.69%)
- Protein structure (16.97%)
- Genetics (16.51%)
What were the highlights of his more recent work (between 2018-2021)?
- Computational biology (25.69%)
- Intrinsically disordered proteins (11.47%)
- Critical assessment (4.13%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Computational biology, Intrinsically disordered proteins, Critical assessment, Cell biology and Database.
The concepts of his Computational biology study are interwoven with issues in Low complexity, Annotation, Protein Families Database and Protein structure, Protein Data Bank.
Annotation is closely attributed to Molecular Sequence Annotation in his research.
His research integrates issues of Functional annotation, Sequence Ontology and Protein methods in his study of Protein Families Database.
His Intrinsically disordered proteins study incorporates themes from Structural biology, Protein tertiary structure, Information retrieval and Molecular evolution.
He has included themes like Protein domain and Biocurator in his Database study.
Between 2018 and 2021, his most popular works were:
- The Pfam protein families database in 2019. (1886 citations)
- 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)
In his most recent research, the most cited papers focused on:
His primary areas of investigation include Computational biology, Molecular Sequence Annotation, Annotation, Information retrieval and Visualization.
Silvio C. E. Tosatto has researched Computational biology in several fields, including Protein Families Database, Genome, Repetitive Sequences and Function.
His work deals with themes such as Functional annotation, Tandem Repeat Sequence and UniProt Knowledgebase, which intersect with Protein Families Database.
His Molecular Sequence Annotation research focuses on Protein domain and how it connects with Ribosome biogenesis, Field and Identification.
His Annotation study integrates concerns from other disciplines, such as Sequence alignment, Protein family, InterProScan, Interoperability and Data curation.
His Information retrieval research integrates issues from UniProt, Protein sequencing and JSON.
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