What is he best known for?
The fields of study he is best known for:
His scientific interests lie mostly in Protein structure, MODELLER, Computational biology, Crystallography and Genetics.
His Protein structure study combines topics in areas such as Structural biology, Peptide sequence, Biological system and Stereochemistry.
His ModBase study, which is part of a larger body of work in MODELLER, is frequently linked to Model building, bridging the gap between disciplines.
Andrej Sali works mostly in the field of Computational biology, limiting it down to concerns involving Threading and, occasionally, Protein structure database and Structural alignment.
Andrej Sali studied Crystallography and Protein folding that intersect with Levinthal's paradox.
His work on Gene, Genome and Phylogenetics as part of general Genetics study is frequently connected to Proteobacteria, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His most cited work include:
- Comparative Protein Modelling by Satisfaction of Spatial Restraints (10270 citations)
- Comparative Protein Structure Modeling Using MODELLER (3008 citations)
- Comparative protein structure modeling of genes and genomes (2578 citations)
What are the main themes of his work throughout his whole career to date?
Protein structure, Computational biology, Biochemistry, Crystallography and Biophysics are his primary areas of study.
The Protein structure study combines topics in areas such as MODELLER, Homology modeling and Binding site.
His research integrates issues of Structural biology, Genetics, Function, Protein–protein interaction and Bioinformatics in his study of Computational biology.
The study of Crystallography is intertwined with the study of Biological system in a number of ways.
His work in Biophysics addresses subjects such as Nuclear pore, which are connected to disciplines such as Saccharomyces cerevisiae.
Andrej Sali is interested in Loop modeling, which is a field of Protein structure prediction.
He most often published in these fields:
- Protein structure (26.56%)
- Computational biology (22.74%)
- Biochemistry (18.71%)
What were the highlights of his more recent work (between 2015-2021)?
- Cell biology (9.26%)
- Biophysics (12.47%)
- Computational biology (22.74%)
In recent papers he was focusing on the following fields of study:
Andrej Sali focuses on Cell biology, Biophysics, Computational biology, Nuclear pore and Structural biology.
In Computational biology, Andrej Sali works on issues like DNA replication, which are connected to Budding yeast.
His Nuclear pore research is multidisciplinary, incorporating perspectives in Structure, Nucleoporin and Nucleocytoplasmic Transport.
His Structural biology research also works with subjects such as
- Data mining that connect with fields like Consistency and Protein Data Bank,
- Structure which connect with Data type, Function and Data science.
His study explores the link between Protein domain and topics such as Plasma protein binding that cross with problems in Protein structure.
His research integrates issues of Crystallography and Transporter in his study of Protein structure.
Between 2015 and 2021, his most popular works were:
- A SARS-CoV-2 protein interaction map reveals targets for drug repurposing. (1317 citations)
- FoXS, FoXSDock and MultiFoXS: Single-state and multi-state structural modeling of proteins and their complexes based on SAXS profiles (222 citations)
- Integrative structure and functional anatomy of a nuclear pore complex (213 citations)
In his most recent research, the most cited papers focused on:
Andrej Sali mainly focuses on Cell biology, Biophysics, Nuclear pore, Structural biology and Proteasome.
His Nuclear pore study incorporates themes from Transport protein, Nucleocytoplasmic Transport and Nucleoporin.
His study in Transport protein is interdisciplinary in nature, drawing from both MODELLER, Cadherin, Cell adhesion and Structure.
His studies in Protein domain integrate themes in fields like Protein structure, Dodecameric protein, Protein subunit and Helicase.
His Conformational change research is multidisciplinary, incorporating elements of Computational biology and Docking.
The various areas that Andrej Sali examines in his Computational biology study include Proteome, Data mining, Macromolecular docking, CASP and Homology modeling.
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