What is he best known for?
The fields of study he is best known for:
Docking, Computational biology, Searching the conformational space for docking, Stereochemistry and Biochemistry are his primary areas of study.
His work in the fields of Docking, such as Macromolecular docking, intersects with other areas such as Haddock.
His research integrates issues of Genetics, Experimental data, Protein protein, Molecular Docking Simulation and Data science in his study of Computational biology.
In his research, Algorithm is intimately related to Protein–ligand docking, which falls under the overarching field of Searching the conformational space for docking.
His Stereochemistry research incorporates themes from Protein structure, Lantibiotics, Lipid II and Peptide.
The various areas that Alexandre M. J. J. Bonvin examines in his Biochemistry study include Antimicrobial, Microbiology and Bacteria.
His most cited work include:
- HADDOCK: a protein-protein docking approach based on biochemical or biophysical information. (1999 citations)
- The HADDOCK web server for data-driven biomolecular docking (882 citations)
- The HADDOCK2.2 Web Server: User-Friendly Integrative Modeling of Biomolecular Complexes. (840 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Docking, Computational biology, Biochemistry, Protein structure and Crystallography.
His research in the fields of Searching the conformational space for docking, Macromolecular docking and Protein protein overlaps with other disciplines such as Haddock.
The study incorporates disciplines such as Structural biology and Protein–protein interaction in addition to Computational biology.
His work carried out in the field of Biochemistry brings together such families of science as Biophysics and Stereochemistry.
His Protein structure research incorporates elements of Plasma protein binding and Protein folding.
His Crystallography study integrates concerns from other disciplines, such as Chemical shift, Nuclear magnetic resonance spectroscopy, Hydrogen bond and Molecular dynamics.
He most often published in these fields:
- Docking (27.27%)
- Computational biology (17.01%)
- Biochemistry (15.25%)
What were the highlights of his more recent work (between 2017-2021)?
- Docking (27.27%)
- Computational biology (17.01%)
- Haddock (8.50%)
In recent papers he was focusing on the following fields of study:
Alexandre M. J. J. Bonvin spends much of his time researching Docking, Computational biology, Haddock, Protein protein and Biological system.
His Macromolecular docking study in the realm of Docking interacts with subjects such as Ab initio.
His study in Computational biology is interdisciplinary in nature, drawing from both Protein structure, Lipid bilayer, Membrane protein and Function.
Structural biology is closely connected to Membrane associated in his research, which is encompassed under the umbrella topic of Membrane protein.
Alexandre M. J. J. Bonvin integrates Haddock and Force field in his studies.
His Binding site study deals with Metadynamics intersecting with Small molecule and Druggability.
Between 2017 and 2021, his most popular works were:
- Assessment of contact predictions in CASP12: co-evolution and deep learning coming of age (114 citations)
- Performance of HADDOCK and a simple contact-based protein–ligand binding affinity predictor in the D3R Grand Challenge 2 (40 citations)
- Blind prediction of homo- and hetero-protein complexes: The CASP13-CAPRI experiment. (32 citations)
In his most recent research, the most cited papers focused on:
His scientific interests lie mostly in Docking, Computational biology, Structural biology, Haddock and Biological system.
The various areas that Alexandre M. J. J. Bonvin examines in his Docking study include Biophysics and Ligand.
The Biophysics study combines topics in areas such as Amino acid, Site-directed mutagenesis and Tetramer.
His Ligand research includes elements of Metadynamics, Molecular dynamics, Molecular recognition, Computational science and Web server.
His Computational biology research is multidisciplinary, incorporating elements of Epitope, Antigen, Antibody antigen and Monoclonal antibody.
His work deals with themes such as Intermolecular force, van der Waals force, Proteomics and Biochemical engineering, which intersect with Structural biology.
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