What is he best known for?
The fields of study he is best known for:
Victor S. Lamzin focuses on Algorithm, Model building, Crystallography, Stereochemistry and Resolution.
His Algorithm research is multidisciplinary, incorporating elements of Molecular replacement, Set and Software suite.
The various areas that Victor S. Lamzin examines in his Model building study include Phase, Computational science, Diffraction, Iterative and incremental development and Structural genomics.
Victor S. Lamzin combines subjects such as Electron density, Cutinase, Protein–carbohydrate interactions and Anisotropy with his study of Crystallography.
Victor S. Lamzin has included themes like Formate dehydrogenase, Biochemistry, Active site, Substrate and NAD+ kinase in his Stereochemistry study.
The study incorporates disciplines such as Charge density, Fourier transform, Position and Minification in addition to Resolution.
His most cited work include:
- Automated protein model building combined with iterative structure refinement. (2302 citations)
- Automated macromolecular model building for X-ray crystallography using ARP/wARP version 7. (1322 citations)
- Automated refinement of protein models. (831 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Crystallography, Stereochemistry, Model building, Crystal structure and Molecule.
His work on Resolution, Crystal and Protein crystallization as part of general Crystallography research is frequently linked to Side chain, bridging the gap between disciplines.
His Resolution research integrates issues from Crambin, Electron density, Diffraction and Pattern recognition.
The Stereochemistry study combines topics in areas such as Active site, Enzyme, Substrate, ATP synthase and NAD+ kinase.
Victor S. Lamzin has researched Model building in several fields, including Algorithm, Software, Macromolecular crystallography and Protein model.
His Algorithm study combines topics in areas such as Phase and Set.
He most often published in these fields:
- Crystallography (32.60%)
- Stereochemistry (24.31%)
- Model building (13.26%)
What were the highlights of his more recent work (between 2010-2021)?
- Model building (13.26%)
- Crystallography (32.60%)
- Computational biology (4.97%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Model building, Crystallography, Computational biology, Resolution and Protein model.
His research integrates issues of Process, Macromolecular crystallography, Interaction energy, Protein ligand and Algorithm in his study of Model building.
His Algorithm study combines topics from a wide range of disciplines, such as Genetic algorithm, Phase and Interpretability.
His work on Crystal structure as part of general Crystallography study is frequently linked to Ligand and Chain, therefore connecting diverse disciplines of science.
In his study, he carries out multidisciplinary Computational biology and Nanotechnology research.
His research in Resolution intersects with topics in Crambin, Scattering, Electron density and Diffraction.
Between 2010 and 2021, his most popular works were:
- Visual automated macromolecular model building. (46 citations)
- Crystal structure of small protein crambin at 0.48 Å resolution. (44 citations)
- Megahertz single-particle imaging at the European XFEL (18 citations)
In his most recent research, the most cited papers focused on:
Victor S. Lamzin mainly focuses on Model building, Crystallography, Biochemistry, Macromolecular crystallography and Laser.
His work carried out in the field of Model building brings together such families of science as Protein crystallization, Process and Protein model.
His work on Crystal structure as part of general Crystallography study is frequently connected to Ligand, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
The various areas that Victor S. Lamzin examines in his Macromolecular crystallography study include Algorithm, Pipeline and Computational science.
His studies examine the connections between Laser and genetics, as well as such issues in Scattering, with regards to Resolution, Synchrotron and Electron density.
His work deals with themes such as Crambin and Computational physics, which intersect with Resolution.
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