His primary areas of study are Protein structure, Algorithm, Cryo-electron microscopy, Crystal structure and Crystallography. His study in the fields of Protein structure prediction under the domain of Protein structure overlaps with other disciplines such as Energy. His Algorithm research is multidisciplinary, incorporating perspectives in Process, Structural biology, Homology modeling, Resolution and Interpretation.
The various areas that Frank DiMaio examines in his Cryo-electron microscopy study include Virology and Cell biology. The Crystal structure study combines topics in areas such as Chemical physics, Retroviral protease and Biochemistry, Protein folding. His study in Crystallography is interdisciplinary in nature, drawing from both Measure and Protein model.
Frank DiMaio spends much of his time researching Biophysics, Protein structure, Cryo-electron microscopy, Cell biology and Crystallography. The study incorporates disciplines such as Nucleotide, Transmembrane protein, Membrane, Protein quaternary structure and Ion channel in addition to Biophysics. As a part of the same scientific study, Frank DiMaio usually deals with the Ion channel, concentrating on Gating and frequently concerns with HCN channel.
His research on Protein structure also deals with topics like
Frank DiMaio mainly investigates Protein design, Biophysics, Cell biology, Biological system and Software. His study looks at the relationship between Protein design and fields such as Stability, as well as how they intersect with chemical problems. His work on Gating and Cryo-electron microscopy as part of his general Biophysics study is frequently connected to Alexa Fluor, thereby bridging the divide between different branches of science.
His Cell biology study integrates concerns from other disciplines, such as Endogeny and Homology. His Biological system study combines topics from a wide range of disciplines, such as Protein structure, Sequence and Energy landscape. His studies deal with areas such as Structure and Data mining as well as Software.
His main research concerns Software, Cell biology, Protein design, Docking and Benchmark. His work on Score expands to the thematically related Software. His research on Cell biology often connects related areas such as Homology.
His Protein design study combines topics in areas such as Stability, SUPERFAMILY and Encoding. His Docking research incorporates elements of User interface and Software engineering. He combines subjects such as Data mining, Protein Data Bank and Artificial intelligence with his study of Structure.
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.
The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design.
Rebecca F. Alford;Andrew Leaver-Fay;Jeliazko R. Jeliazkov;Matthew J. O’Meara.
Journal of Chemical Theory and Computation (2017)
Crystal structure of a monomeric retroviral protease solved by protein folding game players.
Firas Khatib;Frank DiMaio;Seth Cooper;Maciej Kazmierczyk.
Nature Structural & Molecular Biology (2011)
High resolution comparative modeling with RosettaCM
Yifan Song;Frank DiMaio;Ray Yu-Ruei Wang;David Kim.
Structure prediction for CASP8 with all‐atom refinement using Rosetta
Srivatsan Raman;Robert Vernon;James Thompson;Michael Tyka.
EMRinger: side chain-directed model and map validation for 3D cryo-electron microscopy
Benjamin A Barad;Nathaniel Echols;Ray Yu-Ruei Wang;Yifan Cheng.
Nature Methods (2015)
Cryo-electron microscopy structure of a coronavirus spike glycoprotein trimer
Alexandra C. Walls;M. Alejandra Tortorici;M. Alejandra Tortorici;Berend Jan Bosch;Brandon Frenz.
Atomic-accuracy models from 4.5-A cryo-electron microscopy data with density-guided iterative local refinement
Frank DiMaio;Yifan Song;Xueming Li;Matthias J Brunner.
Nature Methods (2015)
Glycan shield and epitope masking of a coronavirus spike protein observed by cryo-electron microscopy.
Alexandra C. Walls;M. Alejandra Tortorici;M. Alejandra Tortorici;Brandon Frenz;Joost Snijder.
Nature Structural & Molecular Biology (2016)
De novo design of protein homo-oligomers with modular hydrogen-bond network-mediated specificity.
Scott E. Boyken;Zibo Chen;Benjamin Groves;Robert A. Langan.
Refinement of protein structures into low-resolution density maps using rosetta.
Frank DiMaio;Michael D. Tyka;Matthew L. Baker;Wah Chiu.
Journal of Molecular Biology (2009)
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: