What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Quantum mechanics
- Algorithm
Artificial intelligence, Algorithm, Protein design, Actuator and Robot are his primary areas of study.
He has researched Artificial intelligence in several fields, including Computer vision and Configuration space.
The Algorithm study combines topics in areas such as Oxidoreductase, Catalytic function and Mutant.
His research in Protein design intersects with topics in Dihydrofolate reductase, Enzyme, Drug resistance and Pruning.
Bruce R. Donald studied Actuator and Microelectromechanical systems that intersect with Electronic engineering.
His Robot study frequently draws connections between related disciplines such as Control.
His most cited work include:
- Kinodynamic motion planning (364 citations)
- An untethered, electrostatic, globally controllable MEMS micro-robot (277 citations)
- Real-time robot motion planning using rasterizing computer graphics hardware (243 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Algorithm, Artificial intelligence, Robot, Protein structure and Protein design.
While the research belongs to areas of Algorithm, Bruce R. Donald spends his time largely on the problem of Nuclear Overhauser effect, intersecting his research to questions surrounding Chemical shift and Two-dimensional nuclear magnetic resonance spectroscopy.
The study incorporates disciplines such as Task and Computer vision in addition to Artificial intelligence.
His work investigates the relationship between Robot and topics such as Microelectromechanical systems that intersect with problems in Electrical engineering, Planar and Capacitive coupling.
The concepts of his Protein structure study are interwoven with issues in Crystallography, Nuclear magnetic resonance spectroscopy, Residual dipolar coupling and Bioinformatics.
In Protein design, Bruce R. Donald works on issues like Mathematical optimization, which are connected to Kinodynamic planning, Function and Computational complexity theory.
He most often published in these fields:
- Algorithm (26.88%)
- Artificial intelligence (20.55%)
- Robot (18.58%)
What were the highlights of his more recent work (between 2011-2020)?
- Protein design (14.62%)
- Algorithm (26.88%)
- Protein structure (15.81%)
In recent papers he was focusing on the following fields of study:
Bruce R. Donald mainly focuses on Protein design, Algorithm, Protein structure, Sequence and Function.
His Protein design research is multidisciplinary, incorporating perspectives in Conformational isomerism, Protein engineering and Mathematical optimization.
His work on Branch and bound as part of general Algorithm study is frequently linked to Source code, bridging the gap between disciplines.
His biological study spans a wide range of topics, including Epitope, Antibody and Antigen.
In his research on the topic of Completeness, Artificial intelligence is strongly related with Computation.
His Robotics study is related to the wider topic of Robot.
Between 2011 and 2020, his most popular works were:
- Crystal structure, conformational fixation and entry-related interactions of mature ligand-free HIV-1 Env (234 citations)
- Enhanced Potency of a Broadly Neutralizing HIV-1 Antibody In Vitro Improves Protection against Lentiviral Infection In Vivo (187 citations)
- Computational Design of a PDZ Domain Peptide Inhibitor that Rescues CFTR Activity (93 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Quantum mechanics
- Algorithm
Bruce R. Donald mainly investigates Protein design, Algorithm, Protein structure, Biochemistry and Antibody.
His Protein design research is multidisciplinary, incorporating elements of Mutation, Mutant, Sequence, Proteins metabolism and Combinatorial optimization.
His work carried out in the field of Algorithm brings together such families of science as Mathematical optimization, Heuristics, Protein engineering and Dead-end elimination.
His studies in Dead-end elimination integrate themes in fields like Arbitrarily large, Exponential growth, Conformational ensembles and Rational design.
His Protein structure study integrates concerns from other disciplines, such as Genetics and Molecular evolution.
His study in Antibody is interdisciplinary in nature, drawing from both Antigen and Virology.
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