The scientist’s investigation covers issues in Protein Data Bank, Crystallography, AutoDock, Protein Data Bank and Docking. The concepts of his Crystallography study are interwoven with issues in Protein structure, Twist and Base pair, DNA. David S. Goodsell combines subjects such as Biomedicine, Bioinformatics, Structural bioinformatics and Collaboratory, World Wide Web with his study of Protein Data Bank.
His Docking research focuses on Searching the conformational space for docking and Protein–ligand docking. The study incorporates disciplines such as Combinatorial chemistry and Simulated annealing in addition to Searching the conformational space for docking. His Lead Finder research incorporates themes from Scoring functions for docking and Molecular Docking Simulation.
His scientific interests lie mostly in Cell biology, DNA, Protein Data Bank, Computational biology and Biochemistry. His biological study spans a wide range of topics, including Crystallography and Stereochemistry. His Protein Data Bank research incorporates elements of World Wide Web and Protein Data Bank.
His Protein Data Bank research includes themes of Bioinformatics and Structural bioinformatics. His Structural bioinformatics study frequently draws parallels with other fields, such as Collaboratory. His Netropsin study frequently involves adjacent topics like Hydrogen bond.
Protein Data Bank, Protein Data Bank, Structural biology, Mesoscale meteorology and Visualization are his primary areas of study. The various areas that David S. Goodsell examines in his Protein Data Bank study include Biomedicine, Protein structure and function and Column. The Protein Data Bank study combines topics in areas such as Computational biology and Structural bioinformatics.
His Structural biology study incorporates themes from Pedagogy, Molecular graphics, Data science and Drug discovery. His research integrates issues of Digital painting, Docking and Reuse in his study of Visualization. The concepts of his Docking study are interwoven with issues in Proteomics, Small molecule and Irreversible binding.
His primary areas of study are Protein Data Bank, Protein Data Bank, Structural biology, Structural bioinformatics and Visualization. His Protein Data Bank study integrates concerns from other disciplines, such as Software engineering and Column. The Protein Data Bank study combines topics in areas such as Database, Master data and Atomic coordinates.
His Structural biology research is multidisciplinary, relying on both Protein structure and function, Molecular graphics, Computational biology and Drug discovery. His research in Structural bioinformatics intersects with topics in Collaboratory, Biomedicine and Biotechnology. His work deals with themes such as Digital painting and Computer graphics, Computer graphics, which intersect with Visualization.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility
Garrett M. Morris;Ruth Huey;William Lindstrom;Michel F. Sanner.
Journal of Computational Chemistry (2009)
Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function
Garrett M. Morris;David S. Goodsell;Robert S. Halliday;Ruth Huey.
Journal of Computational Chemistry (1998)
A semiempirical free energy force field with charge-based desolvation.
Ruth Huey;Garrett M. Morris;Arthur J. Olson;David S. Goodsell.
Journal of Computational Chemistry (2007)
Automated docking of flexible ligands: applications of AutoDock.
David S. Goodsell;Garrett M. Morris;Arthur J. Olson.
Journal of Molecular Recognition (1996)
Automated docking of substrates to proteins by simulated annealing.
David S. Goodsell;Arthur J. Olson.
The molecular origin of DNA-drug specificity in netropsin and distamycin
Mary L. Kopka;Chun Yoon;David Goodsell;Philip Pjura.
Proceedings of the National Academy of Sciences of the United States of America (1985)
Distributed automated docking of flexible ligands to proteins: parallel applications of AutoDock 2.4.
Garrett M. Morris;David S. Goodsell;Ruth Huey;Arthur J. Olson.
Journal of Computer-aided Molecular Design (1996)
Structural symmetry and protein function
David S. Goodsell;Arthur J. Olson.
Annual Review of Biophysics and Biomolecular Structure (2000)
RCSB Protein Data Bank: biological macromolecular structures enabling research and education in fundamental biology, biomedicine, biotechnology and energy.
Stephen K. Burley;Helen M. Berman;Charmi Bhikadiya;Chunxiao Bi.
Nucleic Acids Research (2019)
The RCSB protein data bank: integrative view of protein, gene and 3D structural information
Peter W. Rose;Andreas Prlić;Ali Altunkaya;Chunxiao Bi.
Nucleic Acids Research (2017)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: