David H. Brookes
University of California, Berkeley(US)
Publications by Year
Research Areas
Protein Structure and Dynamics, RNA and protein synthesis mechanisms, Evolution and Genetic Dynamics, Gene Regulatory Network Analysis, Metaheuristic Optimization Algorithms Research
Most-Cited Works
- → Improvements to the APBS biomolecular solvation software suite(2017)2,394 cited
- → Finding Our Way in the Dark Proteome(2016)128 cited
- → Experimental Inferential Structure Determination of Ensembles for Intrinsically Disordered Proteins(2016)83 cited
- → On the sparsity of fitness functions and implications for learning(2021)49 cited
- → Conditioning by adaptive sampling for robust design(2019)47 cited
- → Epistatic Net allows the sparse spectral regularization of deep neural networks for inferring fitness functions(2021)43 cited
- → Optimal trade-off control in machine learning–based library design, with application to adeno-associated virus (AAV) for gene therapy(2024)42 cited
- → Family of Oxygen–Oxygen Radial Distribution Functions for Water(2015)38 cited
- → Design by adaptive sampling(2018)33 cited
- → Optimal trade-off control in machine learning-based library design, with application to adeno-associated virus (AAV) for gene therapy(2021)17 cited