| Download | - View final version: ProT-GFDM: a generative fractional diffusion model for protein generation (PDF, 2.9 MiB)
|
|---|
| DOI | Resolve DOI: https://doi.org/10.1016/j.csbj.2025.07.045 |
|---|
| Author | Search for: Liang, Xiao; Search for: Ma, WentaoORCID identifier: https://orcid.org/0009-0002-7644-4700; Search for: Paquet, Eric1ORCID identifier: https://orcid.org/0000-0001-6515-2556; Search for: Viktor, Herna; Search for: Michalowski, WojtekORCID identifier: https://orcid.org/0000-0002-9198-6439 |
|---|
| Affiliation | - National Research Council Canada. Digital Technologies
|
|---|
| Funder | Search for: National Research Council Canada |
|---|
| Format | Text, Article |
|---|
| Subject | generative diffusion model; protein generation; fractional Brownian motion; stochastic differential equation; ordinary differential equation |
|---|
| Abstract | This work introduces the generative fractional diffusion model for protein generation (ProT-GFDM), a novel generative framework that employs fractional stochastic dynamics for protein backbone structure modeling. This approach builds on the continuous-time score-based generative diffusion modeling paradigm, where data are progressively transformed into noise via a stochastic differential equation and reversed to generate structured samples. Unlike classical methods that rely on standard Brownian motion, ProT-GFDM employs a fractional stochastic process with superdiffusive properties to improve the capture of long-range dependencies in protein structures. By integrating fractional dynamics with computationally efficient sampling, the proposed framework advances generative modeling for structured biological data, with implications for protein design and computational drug discovery. |
|---|
| Publication date | 2025-08-05 |
|---|
| Publisher | Elsevier |
|---|
| Licence | |
|---|
| In | |
|---|
| Language | English |
|---|
| Peer reviewed | Yes |
|---|
| Identifier | S2001037025003101 |
|---|
| Export citation | Export as RIS |
|---|
| Report a correction | Report a correction (opens in a new tab) |
|---|
| Record identifier | 661280ad-085a-4025-8cc2-f0a57ba5e906 |
|---|
| Record created | 2025-09-18 |
|---|
| Record modified | 2025-11-03 |
|---|