What is he best known for?
The fields of study he is best known for:
Crystallography, Software, Automation, Python and Algorithm are his primary areas of study.
In the subject of general Crystallography, his work in X ray methods is often linked to Low resolution, thereby combining diverse domains of study.
Paul D. Adams combines subjects such as Graphical user interface, Structure, Object-oriented programming and Model building with his study of Software.
His Python research includes elements of Software system and Software design.
His Algorithm research is multidisciplinary, incorporating elements of Sharpening, Feature, Set, Wizard and Protein Data Bank.
His research investigates the connection between Software engineering and topics such as Graphics that intersect with problems in Manual interpretation and Bioinformatics.
His most cited work include:
- Crystallography & NMR System: A New Software Suite for Macromolecular Structure Determination (14636 citations)
- Phaser crystallographic software (13810 citations)
- PHENIX: a comprehensive Python-based system for macromolecular structure solution (9579 citations)
What are the main themes of his work throughout his whole career to date?
Paul D. Adams mainly investigates Biochemistry, Crystallography, Enzyme, Protein structure and Software.
Paul D. Adams focuses mostly in the field of Crystallography, narrowing it down to topics relating to Protein Data Bank and, in certain cases, Protein Data Bank.
His Software research incorporates elements of Python and Structure.
While the research belongs to areas of Cellulase, he spends his time largely on the problem of Glycoside hydrolase, intersecting his research to questions surrounding Protein engineering.
Paul D. Adams has researched Metabolic engineering in several fields, including Proteomics and Heterologous.
In his study, Lignin is inextricably linked to Biomass, which falls within the broad field of Hydrolysis.
He most often published in these fields:
- Biochemistry (43.41%)
- Crystallography (30.81%)
- Enzyme (20.74%)
What were the highlights of his more recent work (between 2017-2021)?
- Cryo-electron microscopy (6.96%)
- Protein Data Bank (12.89%)
- Enzyme (20.74%)
In recent papers he was focusing on the following fields of study:
Paul D. Adams mainly focuses on Cryo-electron microscopy, Protein Data Bank, Enzyme, Biochemistry and Pseudomonas putida.
His Protein Data Bank study incorporates themes from Ramachandran plot, Field, Macromolecular crystallography and Outlier.
His study looks at the intersection of Ramachandran plot and topics like Electrostatics with Crystallography.
His work carried out in the field of Enzyme brings together such families of science as Biocatalysis and Glycoconjugate.
The Bioconversion, Mevalonate pathway, Escherichia coli and Thermophile research Paul D. Adams does as part of his general Biochemistry study is frequently linked to other disciplines of science, such as Isoprenol, therefore creating a link between diverse domains of science.
Many of his studies on Computational science involve topics that are commonly interrelated, such as Software.
Between 2017 and 2021, his most popular works were:
- Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in Phenix (835 citations)
- Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in Phenix (835 citations)
- MolProbity: More and better reference data for improved all-atom structure validation. (733 citations)
In his most recent research, the most cited papers focused on:
His primary areas of study are Cryo-electron microscopy, Protein Data Bank, Proteomics, Computational biology and Algorithm.
His Protein Data Bank research is multidisciplinary, incorporating perspectives in Macromolecular crystallography, Molecular symmetry, Software system, Software and Ramachandran plot.
In his study, Crystallography is strongly linked to Protein Data Bank, which falls under the umbrella field of Macromolecular crystallography.
Paul D. Adams studied Crystallography and Molecule that intersect with Photosystem II.
His research integrates issues of Mass spectrometry and Metabolic pathway, Enzyme in his study of Proteomics.
His study in Algorithm is interdisciplinary in nature, drawing from both Function, Set and Space.
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