What is he best known for?
The fields of study he is best known for:
His primary areas of study are Protein structure, Peptide sequence, Genetics, Crystallography and Biochemistry.
His study in Protein structure is interdisciplinary in nature, drawing from both Leucine-rich repeat, Sequence, Structural biology, Cell biology and Sequence analysis.
His Leucine-rich repeat course of study focuses on Subfamily and Protein–protein interaction, Sequence motif and Consensus sequence.
The Peptide sequence study combines topics in areas such as Negative stain, Protein structure prediction and Molecular model.
His biological study deals with issues like Computational biology, which deal with fields such as Structural bioinformatics.
Andrey V. Kajava interconnects Fibril, Fibrillogenesis, Allosteric regulation and 20s proteasome in the investigation of issues within Crystallography.
His most cited work include:
- The leucine-rich repeat as a protein recognition motif (1299 citations)
- Structural diversity of leucine-rich repeat proteins (472 citations)
- Epithelial barrier function: assembly and structural features of the cornified cell envelope. (381 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Protein structure, Computational biology, Crystallography, Biochemistry and Genetics.
Andrey V. Kajava combines subjects such as Protein secondary structure, Protein domain, Protein folding, Peptide sequence and Stereochemistry with his study of Protein structure.
His Peptide sequence research includes elements of Protein structure prediction and Structural bioinformatics.
His studies deal with areas such as Proteome, Genome, Tandem repeat, Protein Data Bank and Sequence analysis as well as Computational biology.
His studies examine the connections between Crystallography and genetics, as well as such issues in Fibril, with regards to Scanning transmission electron microscopy.
His work on Genetics deals in particular with Leucine-rich repeat and RNA.
He most often published in these fields:
- Protein structure (30.38%)
- Computational biology (22.78%)
- Crystallography (18.35%)
What were the highlights of his more recent work (between 2017-2021)?
- Biophysics (13.92%)
- Protein structure (30.38%)
- Fibril (13.92%)
In recent papers he was focusing on the following fields of study:
Andrey V. Kajava mostly deals with Biophysics, Protein structure, Fibril, Computational biology and Sequence analysis.
The concepts of his Biophysics study are interwoven with issues in Nanoparticle, Protein engineering and Steric repulsion.
Particularly relevant to Protein Data Bank is his body of work in Protein structure.
His Fibril research is multidisciplinary, incorporating perspectives in Amino acid, Protein aggregation, New mutation, Saccharomyces cerevisiae and Protein methods.
The various areas that he examines in his Computational biology study include Annotation, Low complexity and Tandem repeat.
His Sequence analysis research includes themes of Evolutionary pressure, Sequence motif, Phylogenetics and Bioinformatics.
Between 2017 and 2021, his most popular works were:
- Tandem repeats lead to sequence assembly errors and impose multi-level challenges for genome and protein databases (53 citations)
- DisProt: intrinsic protein disorder annotation in 2020. (51 citations)
- Disentangling the complexity of low complexity proteins (27 citations)
In his most recent research, the most cited papers focused on:
Andrey V. Kajava mainly focuses on Fibril, Structure, Computational biology, Ryanodine receptor 2 and Ventricular tachycardia.
His Fibril study integrates concerns from other disciplines, such as Protein structure, Sequence analysis, Protein methods and Bioinformatics.
He has researched Computational biology in several fields, including Genome, Gene, Tandem repeat and Workflow.
His work is dedicated to discovering how Workflow, Annotation are connected with Information retrieval and Data curation and other disciplines.
His Catecholaminergic polymorphic ventricular tachycardia study, which is part of a larger body of work in Ryanodine receptor 2, is frequently linked to Directed differentiation, bridging the gap between disciplines.
Many of his studies on Cell biology involve topics that are commonly interrelated, such as Mutation.
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