Geometric learning of biomolecular structure
Abstract/Contents
- Abstract
- The shape of a macromolecule such as a protein, RNA, or DNA, is intrinsically linked to its biological function. Better reasoning about these shapes may unlock new scientific discoveries in human health and open a path towards the rational design of novel medicines and materials. I demonstrate the potential of machine learning in this area by discussing the design of a new class of neural networks that are 'geometric' in nature: they exploit the three-dimensional arrangement of atoms—thereby modeling the underlying physical processes of molecular structure—to generalize to new and unseen molecules. These results point to machine learning as an area of great promise for structural biology.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2021; ©2021 |
| Publication date | 2021; 2021 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Townshend, Raphaël John Lamarre |
|---|---|
| Degree supervisor | Dror, Ron, 1975- |
| Thesis advisor | Dror, Ron, 1975- |
| Thesis advisor | Altman, Russ |
| Thesis advisor | Das, Rhiju |
| Thesis advisor | Kundaje, Anshul, 1980- |
| Degree committee member | Altman, Russ |
| Degree committee member | Das, Rhiju |
| Degree committee member | Kundaje, Anshul, 1980- |
| Associated with | Stanford University, Computer Science Department |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Raphaël John Lamarre Townshend. |
|---|---|
| Note | Submitted to the Computer Science Department. |
| Thesis | Thesis Ph.D. Stanford University 2021. |
| Location | https://purl.stanford.edu/qs870pj6857 |
Access conditions
- Copyright
- © 2021 by Raphael John Lamarre Townshend
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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