What is he best known for?
The fields of study he is best known for:
Chung-Jung Tsai spends much of his time researching Protein structure, Crystallography, Protein folding, Allosteric regulation and Folding.
His work in the fields of Conformational ensembles overlaps with other areas such as Surface protein.
His research in Crystallography focuses on subjects like Plasma protein binding, which are connected to Binding site.
His work deals with themes such as Polypeptide chain, Protein protein and Biological system, which intersect with Protein folding.
His Allosteric regulation research includes themes of Protein function, Conformational change, Computational biology and Bioinformatics.
His biological study spans a wide range of topics, including Evolutionary biology, Conformational isomerism, Mutation and Genetics.
His most cited work include:
- Factors enhancing protein thermostability (708 citations)
- FOLDING FUNNELS, BINDING FUNNELS, AND PROTEIN FUNCTION (528 citations)
- Folding and binding cascades: dynamic landscapes and population shifts. (497 citations)
What are the main themes of his work throughout his whole career to date?
Chung-Jung Tsai mostly deals with Protein folding, Crystallography, Protein structure, Allosteric regulation and Computational biology.
His work is dedicated to discovering how Protein folding, Folding are connected with Conformational ensembles and other disciplines.
His study on Crystallography also encompasses disciplines like
- Biophysics, which have a strong connection to Peptide and Biochemistry,
- Hydrophobic effect, which have a strong connection to Hydrogen bond and Thermodynamics.
He combines subjects such as Chemical physics, Protein function and Peptide sequence with his study of Protein structure.
His research integrates issues of Stereochemistry, Neuroscience, Drug discovery and Cell biology in his study of Allosteric regulation.
His Computational biology research is multidisciplinary, relying on both Genetics, Protein–protein interaction, Plasma protein binding, Bioinformatics and Structural similarity.
He most often published in these fields:
- Protein folding (29.20%)
- Crystallography (23.36%)
- Protein structure (22.63%)
What were the highlights of his more recent work (between 2018-2021)?
- Computational biology (18.98%)
- Allosteric regulation (21.17%)
- Cell biology (13.14%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Computational biology, Allosteric regulation, Cell biology, Signal transduction and Drug discovery.
His work carried out in the field of Computational biology brings together such families of science as Host protein, Precision medicine, Cancer, Protein–protein interaction and Gene isoform.
His Host protein study incorporates themes from Plasma protein binding and Molecular mimicry.
Chung-Jung Tsai has researched Allosteric regulation in several fields, including Protein kinase B, Phosphorylation, MAPK/ERK pathway, Function and PI3K/AKT/mTOR pathway.
In his study, which falls under the umbrella issue of Cell biology, Cytoplasm and KRAS is strongly linked to Membrane.
In his work, Small GTPase, Protein structure and Genotype is strongly intertwined with Phenotype, which is a subfield of Drug discovery.
Between 2018 and 2021, his most popular works were:
- Review: Precision medicine and driver mutations: Computational methods, functional assays and conformational principles for interpreting cancer drivers. (44 citations)
- Precision medicine review: rare driver mutations and their biophysical classification. (25 citations)
- Does Ras Activate Raf and PI3K Allosterically (19 citations)
In his most recent research, the most cited papers focused on:
His scientific interests lie mostly in Cell biology, Phenotype, Computational biology, Precision medicine and Allosteric regulation.
His work on Intracellular, Kinase and CDC42 as part of general Cell biology study is frequently connected to Functional role, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His research in Phenotype intersects with topics in Conformational ensembles, Proteomics, Classical pharmacology, Drug discovery and Personalized medicine.
His Computational biology research is multidisciplinary, incorporating perspectives in Cancer treatment, Cancer, Exome sequencing and Data sequences.
His multidisciplinary approach integrates Precision medicine and Statistical analysis in his work.
His Allosteric regulation research incorporates elements of Extracellular, Signal transduction, Protein kinase domain and Epidermal growth factor receptor.
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