1972 - Fellow of American Physical Society (APS)
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.
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.
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.
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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Crystallography & NMR System: A New Software Suite for Macromolecular Structure Determination
A.T. Brünger;A.T. Brünger;P.D. Adams;G.M. Clore;W.L. DeLano.
Acta Crystallographica Section D-biological Crystallography (1998)
Phaser crystallographic software
Airlie J. McCoy;Ralf W. Grosse-Kunstleve;Paul D. Adams;Martyn D. Winn.
Journal of Applied Crystallography (2007)
Phenix - a comprehensive python-based system for macromolecular structure solution
Paul D Adams;Paul D Adams;Pavel Afonine;Gábor Bunkóczi;Vincent B Chen.
International Tables for Crystallography (2012)
PHENIX: building new software for automated crystallographic structure determination
Paul D Adams;Ralf W Grosse-Kunstleve;Li Wei Hung;Thomas R Ioerger.
Acta Crystallographica Section D-biological Crystallography (2002)
Towards automated crystallographic structure refinement with phenix.refine
Pavel V. Afonine;Ralf W. Grosse-Kunstleve;Nathaniel Echols;Jeffrey J. Headd.
Acta Crystallographica Section D-biological Crystallography (2012)
Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in Phenix
D. Liebschner;P.V. Afonine;M.L. Baker;G. Bunkóczi.
Acta Crystallographica Section D Structural Biology (2019)
MolProbity: More and better reference data for improved all-atom structure validation.
Christopher J. Williams;Jeffrey J. Headd;Nigel W. Moriarty;Michael G. Prisant.
Protein Science (2018)
Iterative model building, structure refinement and density modification with the PHENIX AutoBuild wizard
Thomas C Terwilliger;Ralf W Grosse-Kunstleve;Pavel V Afonine;Nigel W Moriarty.
Acta Crystallographica Section D-biological Crystallography (2008)
Structural basis for double-stranded RNA processing by Dicer.
Ian J. MacRae;Kaihong Zhou;Fei Li;Adrian Repic.
electronic Ligand Builder and Optimization Workbench (eLBOW): a tool for ligand coordinate and restraint generation
Nigel W. Moriarty;Ralf W. Grosse-Kunstleve;Paul D. Adams;Paul D. Adams.
Acta Crystallographica Section D-biological Crystallography (2009)
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