Implicitly and Differentiably Representing Protein Surfaces and Interfaces
Year: 2025
Type: conference-paper
Abstract: We introduce a pipeline for implicitly representing a protein, or protein complex, as the union of signed distance functions (SDFs) by representing each atom as a sphere with the appropriate van der Waals radius. While this idea has been used previously as a way to render images of proteins, it has not, to our knowledge, been widely adopted in a machine learning setting. Mirroring recent successful work applying SDFs to represent 3D geometry, we present a proof of concept that this representation of proteins could be useful in several biologically relevant applications. We also propose further experiments that are necessary to validate the proposed approach.
Institution: Colorado College
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: hybrid
OpenAlex ID: W4417312677
FWCI:
Cites:
Cited by:
Related to: