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Bruce R. Donald, James B. Duke Professor of Computer Science and Professor of Biochemistry and Electrical and Computer Engineering and Chemistry and Faculty Network Member of Duke Institute for Brain Sciences and Bass Fellow of Computer Science


Bruce R. Donald

Please visit Bruce Donald's personal web page for up-to-date information, research, teaching, and publications. That website is hosted by the Departments of Computer Science, Chemistry, and Biochemistry at Duke University.

Contact Info:
Office Location:  LSRC D212, Durham, NC 27708
Email Address:
Web Page:

Teaching (Spring 2018):

    North Building 311, M 01:25 PM-03:55 PM


Computational Biology
Artificial Intelligence

Research Interests:

Computational Biology, Computational Chemistry, Structural Biology, Biochemistry, Protein Design, Drug Design, NMR of Biological Macromolecules, Microelectromechanical Systems (MEMS), Micro-robotics, Geometric Algorithms

Recent Publications   (More Publications)

  1. Hallen, MA; Donald, BR, CATS (Coordinates of Atoms by Taylor Series): protein design with backbone flexibility in all locally feasible directions, Bioinformatics, vol. 33 no. 14 (July, 2017), pp. i5-i12 [doi]
  2. Jain, S; Jou, JD; Georgiev, IS; Donald, BR, A critical analysis of computational protein design with sparse residue interaction graphs., PLoS computational biology, vol. 13 no. 3 (March, 2017), pp. e1005346 [doi]  [abs]
  3. Ojewole, AA; Jou, JD; Fowler, VG; Donald, BR, BBK* (Branch and bound over K*): A provable and efficient ensemble-based algorithm to optimize stability and binding affinity over large sequence spaces, Lecture notes in computer science, vol. 10229 LNCS (January, 2017), pp. 157-172, ISBN 9783319569697 [doi]  [abs]
  4. Zhou, Y; Donald, BR; Zeng, J, Parallel Computational Protein Design., Methods in molecular biology (Clifton, N.J.), vol. 1529 (January, 2017), pp. 265-277  [abs]
  5. Ojewole, A; Lowegard, A; Gainza, P; Reeve, SM; Georgiev, I; Anderson, AC; Donald, BR, OSPREY Predicts Resistance Mutations Using Positive and Negative Computational Protein Design., Methods in molecular biology (Clifton, N.J.), vol. 1529 (January, 2017), pp. 291-306 [doi]  [abs]