What is he best known for?
The fields of study he is best known for:
Peter Tompa spends much of his time researching Intrinsically disordered proteins, Computational biology, Protein structure, Biochemistry and Function.
The various areas that Peter Tompa examines in his Intrinsically disordered proteins study include Phase transition, Nanotechnology and Database.
His Computational biology research incorporates elements of Unstructured Proteins, Genetics, Protein secondary structure and Bioinformatics.
His Protein structure research includes elements of Crystallography and Protein folding.
His Biochemistry research focuses on Cell biology and how it connects with C-terminus, Stress granule, RNA-binding protein and Stress granule assembly.
His study in Short linear motif is interdisciplinary in nature, drawing from both Sequence space, Interaction network and Hypothetical protein.
His most cited work include:
- Intrinsically unstructured proteins. (1659 citations)
- IUPred: web server for the prediction of intrinsically unstructured regions of proteins based on estimated energy content (1582 citations)
- Classification of intrinsically disordered regions and proteins. (962 citations)
What are the main themes of his work throughout his whole career to date?
Peter Tompa focuses on Intrinsically disordered proteins, Computational biology, Protein structure, Cell biology and Biophysics.
Intrinsically disordered proteins is a primary field of his research addressed under Biochemistry.
The Computational biology study combines topics in areas such as Genetics, Proteome, Function and Bioinformatics.
His work deals with themes such as Plasma protein binding, Protein domain, Protein folding, Peptide sequence and Protein–protein interaction, which intersect with Protein structure.
His Cell biology research integrates issues from RNA, Cyclin-dependent kinase and Ubiquitin.
His work carried out in the field of Biophysics brings together such families of science as Calpastatin, In vitro, Organelle and In vivo.
He most often published in these fields:
- Intrinsically disordered proteins (62.89%)
- Computational biology (39.43%)
- Protein structure (32.47%)
What were the highlights of his more recent work (between 2018-2021)?
- Intrinsically disordered proteins (62.89%)
- Computational biology (39.43%)
- Liquid liquid (4.90%)
In recent papers he was focusing on the following fields of study:
His main research concerns Intrinsically disordered proteins, Computational biology, Liquid liquid, Biophysics and Chemical physics.
His studies in Intrinsically disordered proteins integrate themes in fields like Structural similarity, Calpain and Similarity.
Peter Tompa has included themes like Protein structure, Posttranslational modification, Alternative splicing and Function in his Computational biology study.
His Protein structure research is multidisciplinary, incorporating perspectives in Globular protein, Cell signaling and Coevolution.
His Liquid liquid research also works with subjects such as
- Database that connect with fields like Protein domain, Ribosome biogenesis, Process and Mechanism,
- Identification together with Cellular Regulation.
In his study, In vitro, Nucleic acid and Organelle is strongly linked to In vivo, which falls under the umbrella field of Biophysics.
Between 2018 and 2021, his most popular works were:
- Spontaneous driving forces give rise to protein-RNA condensates with coexisting phases and complex material properties. (128 citations)
- Spontaneous driving forces give rise to protein-RNA condensates with coexisting phases and complex material properties. (128 citations)
- DisProt: intrinsic protein disorder annotation in 2020. (51 citations)
In his most recent research, the most cited papers focused on:
Peter Tompa focuses on Intrinsically disordered proteins, Computational biology, Interface, Function and RNA.
Intrinsically disordered proteins is a subfield of Biochemistry that Peter Tompa studies.
The Computational biology study combines topics in areas such as Stress granule, Posttranslational modification, Cellular organization and Alternative splicing.
Combining a variety of fields, including Interface, Interoperability, Information retrieval, Structure, Graphical user interface and Molecular Sequence Annotation, are what the author presents in his essays.
His Function research is multidisciplinary, incorporating elements of Supramolecular chemistry, Molecular cell biology and Organelle.
His work carried out in the field of RNA brings together such families of science as Chemical physics, Phase transition, Biogenesis, Binding domain and Material properties.
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