Stig Petersen
Google DeepMind (United Kingdom)(GB)
Publications by Year
Research Areas
Protein Structure and Dynamics, Enzyme Structure and Function, Machine Learning in Bioinformatics, Advanced Chemical Physics Studies, Memory and Neural Mechanisms
Most-Cited Works
- → Highly accurate protein structure prediction with AlphaFold(2021)42,934 cited
- → Human-level control through deep reinforcement learning(2015)29,160 cited
- → AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models(2021)7,974 cited
- → Improved protein structure prediction using potentials from deep learning(2020)3,444 cited
- → Highly accurate protein structure prediction for the human proteome(2021)3,137 cited
- → Vector-based navigation using grid-like representations in artificial agents(2018)717 cited
- → StarCraft II: A New Challenge for Reinforcement Learning(2017)683 cited
- → Applying and improving AlphaFold at CASP14(2021)407 cited
- → Massively Parallel Methods for Deep Reinforcement Learning(2015)405 cited
- → Pushing the frontiers of density functionals by solving the fractional electron problem(2021)381 cited