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D-Index & Metrics

Biology and Biochemistry

D-Index
78
Citations
33158
World Ranking
4449
National Ranking
2163

Overview

Frank DiMaio is affiliated with the University of Washington in the United States. Their research primarily focuses on the field of Biochemistry, Genetics and Molecular Biology, with 187 publications in this broad area. Within this field, DiMaio contributes extensively to subfields such as Molecular Biology, Materials Chemistry, Structural Biology, Computational Theory and Mathematics, and Genetics.

The scientist's main research topics include Protein Structure and Dynamics, RNA and protein synthesis mechanisms, Enzyme Structure and Function, Advanced Electron Microscopy Techniques and Applications, Computational Drug Discovery Methods, Bacterial Genetics and Biotechnology, and Chemical Synthesis and Analysis.

Frank DiMaio has published in several prominent scientific venues. Frequent publication venues include bioRxiv (Cold Spring Harbor Laboratory), Science, Nature Communications, Zenodo (CERN European Organization for Nuclear Research), and Nature Methods.

Frequent co-authors associated with DiMaio's work are David Baker, Daniel P. Farrell, Minkyung Baek, Ivan Anishchenko, and Asim K. Bera. These collaborations highlight a network of scientific partnership in related research areas.

Some recent papers authored by or involving Frank DiMaio are:

  • Accurate prediction of protein structures and interactions using a three-track neural network (2021, Science)
  • De novo design of protein structure and function with RFdiffusion (2023, Nature)
  • Macromolecular modeling and design in Rosetta: recent methods and frameworks (2020, Nature Methods)
  • Generalized biomolecular modeling and design with RoseTTAFold All-Atom (2024, Science)
  • De novo protein design by deep network hallucination (2021, Nature)

Best Publications

  • Accurate prediction of protein structures and interactions using a three-track neural network

    Minkyung Baek;Frank DiMaio;Ivan Anishchenko;Justas Dauparas

  • The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design.

    Rebecca F. Alford;Andrew Leaver-Fay;Jeliazko R. Jeliazkov;Matthew J. O’Meara

  • High resolution comparative modeling with RosettaCM

    Yifan Song;Frank DiMaio;Ray Yu-Ruei Wang;David Kim

  • EMRinger: side chain-directed model and map validation for 3D cryo-electron microscopy

    Benjamin A Barad;Nathaniel Echols;Ray Yu-Ruei Wang;Yifan Cheng

  • Macromolecular modeling and design in Rosetta: recent methods and frameworks

    Julia Koehler Leman;Brian D. Weitzner;Brian D. Weitzner;Steven M. Lewis;Steven M. Lewis;Jared Adolf-Bryfogle

  • Crystal structure of a monomeric retroviral protease solved by protein folding game players.

    Firas Khatib;Frank DiMaio;Seth Cooper;Maciej Kazmierczyk

  • Cryo-electron microscopy structure of a coronavirus spike glycoprotein trimer

    Alexandra C. Walls;M. Alejandra Tortorici;M. Alejandra Tortorici;Berend Jan Bosch;Brandon Frenz

  • Structure prediction for CASP8 with all‐atom refinement using Rosetta

    Srivatsan Raman;Robert Vernon;James Thompson;Michael Tyka

  • Automated structure refinement of macromolecular assemblies from cryo-EM maps using Rosetta

    Ray Yu-Ruei Wang;Yifan Song;Benjamin A Barad;Yifan Cheng

  • Simultaneous Optimization of Biomolecular Energy Functions on Features from Small Molecules and Macromolecules

    Hahnbeom Park;Philip Bradley;Per Greisen;Yuan Liu

  • 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

  • De novo protein design by deep network hallucination.

    Ivan Anishchenko;Samuel J. Pellock;Tamuka M. Chidyausiku;Theresa A. Ramelot

  • Alternate States of Proteins Revealed by Detailed Energy Landscape Mapping

    Michael D. Tyka;Daniel A. Keedy;Ingemar André;Frank DiMaio

  • Relaxation of backbone bond geometry improves protein energy landscape modeling

    Patrick Conway;Michael D. Tyka;Frank DiMaio;David E. Konerding

  • De novo design of protein homo-oligomers with modular hydrogen-bond network-mediated specificity.

    Scott E. Boyken;Zibo Chen;Benjamin Groves;Robert A. Langan

  • 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

  • Near-atomic model of microtubule-tau interactions.

    Elizabeth H. Kellogg;Elizabeth H. Kellogg;Nisreen M. A. Hejab;Simon Poepsel;Kenneth H. Downing

  • Refinement of protein structures into low-resolution density maps using rosetta.

    Frank DiMaio;Michael D. Tyka;Matthew L. Baker;Wah Chiu

  • High thermodynamic stability of parametrically designed helical bundles.

    Po Ssu Huang;Gustav Oberdorfer;Gustav Oberdorfer;Chunfu Xu;Xue Y. Pei

  • De novo protein design by deep network hallucination

    Ivan Anishchenko;Tamuka M. Chidyausiku;Sergey Ovchinnikov;Samuel J. Pellock

Frequent Co-Authors

David Baker
David Baker University of Washington
Paul D. Adams
Paul D. Adams Lawrence Berkeley National Laboratory
David Veesler
David Veesler University of Washington
Edward H. Egelman
Edward H. Egelman University of Virginia
Thomas C. Terwilliger
Thomas C. Terwilliger Los Alamos National Laboratory
Wah Chiu
Wah Chiu Stanford University
Jude W. Shavlik
Jude W. Shavlik University of Wisconsin–Madison
William N. Zagotta
William N. Zagotta University of Washington
M. Alejandra Tortorici
M. Alejandra Tortorici University of Washington
Brian Kuhlman
Brian Kuhlman University of North Carolina at Chapel Hill

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