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David Ryan Koes
David Koes
Author Information
David Koes (University of Pittsburgh)
I develop novel computational algorithms and build full-scale systems to support rapid and inexpensive drug discovery while simultaneously applying these methods to develop novel therapeutics. I seek to unlock the power of computation and machine learning to solve challenging, real world problems and am a staunch advocate of open source software and open science.
More from the Same Authors
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2021 : MOLUCINATE: A Generative Model for Molecules in 3D Space »
Michael Brocidiacono · David Koes -
2021 : Exploring ∆∆G prediction with Siamese Networks »
Andrew McNutt · David Koes -
2020 : Learning a Continuous Representation of 3D Molecular Structures with Deep Generative Models »
Matthew Ragoza · Tomohide Masuda · David Koes -
2020 : Contributed Talk - Generating 3D Molecular Structures Conditional on a Receptor Binding Site with Deep Generative Models »
Tomohide Masuda · Matthew Ragoza · David Koes -
2020 : Contributed Talk - SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning »
Jonathan King · David Koes