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Bruce R. Donald

Bruce R. Donald

D-Index & Metrics

Computer Science

D-Index
59
Citations
9854
World Ranking
3501
National Ranking
1684

Research.com Recognitions

  • 2015 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2009 - ACM Fellow For contributions in robotics, MEMS, computational molecular biology.
  • 2001 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

Bruce R. Donald is a researcher affiliated with Duke University in the United States. Their work is primarily situated within the broad field of Biochemistry, Genetics and Molecular Biology, with notable focus on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Cancer Research, and Immunology.

The main topics covered in their research include Protein Structure and Dynamics, Computational Drug Discovery Methods, RNA and protein synthesis mechanisms, Machine Learning in Bioinformatics, Enzyme Structure and Function, Cancer Genomics and Diagnostics, and Melanoma and MAPK Pathways.

Bruce R. Donald has contributed to various peer-reviewed publications over recent years. Selected papers include:

  • Novel, provable algorithms for efficient ensemble-based computational protein design and their application to the redesign of the c-Raf-RBD:KRas protein-protein interface, 2020, PLoS Computational Biology
  • Chiral evasion and stereospecific antifolate resistance in Staphylococcus aureus, 2022, PLoS Computational Biology
  • Improved HIV-1 neutralization breadth and potency of V2-apex antibodies by in silico design, 2023, Cell Reports
  • Discovery, characterization, and redesign of potent antimicrobial thanatin orthologs from Chinavia ubica and Murgantia histrionica targeting E. coli LptA, 2023, Journal of Structural Biology X
  • Has AlphaFold 3 Solved the Protein Folding Problem for D-Peptides?, 2025, bioRxiv (Cold Spring Harbor Laboratory)

Publication venues where Bruce R. Donald has frequently contributed include bioRxiv (Cold Spring Harbor Laboratory), PLoS Computational Biology, Journal of Computational Biology, Journal of Structural Biology X, and Cell Reports.

The scientist collaborates regularly with several frequent co-authors including Nathan Guerin, Pei Zhou, Teresa Kaserer, Henry R. Childs, and Marcel S. Frenkel.

Bruce R. Donald has received recognition in the form of professional awards. These include being named a Fellow of the American Association for the Advancement of Science (AAAS) in 2015, an ACM Fellow in 2009 for contributions in robotics, MEMS, and computational molecular biology, and a Fellow of the John Simon Guggenheim Memorial Foundation in 2001.

Best Publications

  • Kinodynamic motion planning

    Bruce Donald;Patrick Xavier;John Canny;John Reif

  • Real-time robot motion planning using rasterizing computer graphics hardware

    Jed Lengyel;Mark Reichert;Bruce R. Donald;Donald P. Greenberg

  • Moving furniture with teams of autonomous robots

    D. Rus;B. Donald;J. Jennings

  • A search algorithm for motion planning with six degrees of freedom

    Bruce R. Donald

  • Computational structure-based redesign of enzyme activity.

    Cheng-Yu Chen;Ivelin Georgiev;Amy C. Anderson;Bruce R. Donald

  • Probabilistic disease classification of expression-dependent proteomic data from mass spectrometry of human serum.

    Ryan H. Lilien;Hany Farid;Bruce Randall Donald

  • Information invariants for distributed manipulation

    Bruce Randall Donald;James Jennings;Daniela Rus

  • The minimized dead‐end elimination criterion and its application to protein redesign in a hybrid scoring and search algorithm for computing partition functions over molecular ensembles

    Ivelin Georgiev;Ryan H. Lilien;Bruce Randall Donald

  • Planar Microassembly by Parallel Actuation of MEMS Microrobots

    B.R. Donald;C.G. Levey;I. Paprotny

  • A geometric approach to error detection and recovery for robot motion planning with uncertainty

    Bruce R. Donald

  • A novel ensemble-based scoring and search algorithm for protein redesign and its application to modify the substrate specificity of the gramicidin synthetase a phenylalanine adenylation enzyme.

    Ryan H. Lilien;Brian W. Stevens;Amy C. Anderson;Bruce Randall Donald

  • On Information Invariants in Robotics

    Unknown

  • Error Detection and Recovery in Robotics

    Bruce R. Donald

  • Motion Planning with Six Degrees of Freedom

    Bruce R. Donald

  • On the complexity of kinodynamic planning

    J. Canny;B. Donald;J. Reif;P. Xavier

  • Algorithms in Structural Molecular Biology

    Bruce R. Donald

  • Planning multi-step error detection and recovery strategies

    Bruce R. Donald

  • OSPREY: protein design with ensembles, flexibility, and provable algorithms.

    Pablo Gainza;Kyle E. Roberts;Ivelin Georgiev;Ryan H. Lilien

  • Programmable Force Fields for Distributed Manipulation, with Applications to MEMS Actuator Arrays and Vibratory Parts Feeders

    Karl-Friedrich Bohringer;Bruce Randall Donald;Noel C. MacDonald

  • Computational Design of a PDZ Domain Peptide Inhibitor that Rescues CFTR Activity

    Kyle E. Roberts;Patrick R. Cushing;Prisca Boisguerin;Dean R. Madden

  • Predicting resistance mutations using protein design algorithms

    Kathleen M. Frey;Ivelin Georgiev;Bruce R. Donald;Amy C. Anderson

  • Error Detection and Recovery for Robot Motion Planning with Uncertainty.

    Bruce Randall Donald

Frequent Co-Authors

Ivelin S. Georgiev
Ivelin S. Georgiev Vanderbilt University Medical Center
Karl F. Böhringer
Karl F. Böhringer University of Washington
Richard Mooney
Richard Mooney Duke University
Kevin M. Lynch
Kevin M. Lynch Northwestern University
John Canny
John Canny University of California, Berkeley
Gregory T. A. Kovacs
Gregory T. A. Kovacs SRI International
Dinesh K. Pai
Dinesh K. Pai University of British Columbia
Lawrence Shapiro
Lawrence Shapiro Columbia University
Paul K. Wright
Paul K. Wright University of California, Berkeley

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