| Téléchargement | - Voir la version finale : ProT-GFDM: a generative fractional diffusion model for protein generation (PDF, 2.9 Mio)
|
|---|
| DOI | Trouver le DOI : https://doi.org/10.1016/j.csbj.2025.07.045 |
|---|
| Auteur | Rechercher : Liang, Xiao; Rechercher : Ma, WentaoIdentifiant ORCID : https://orcid.org/0009-0002-7644-4700; Rechercher : Paquet, Eric1Identifiant ORCID : https://orcid.org/0000-0001-6515-2556; Rechercher : Viktor, Herna; Rechercher : Michalowski, WojtekIdentifiant ORCID : https://orcid.org/0000-0002-9198-6439 |
|---|
| Affiliation | - Conseil national de recherches Canada. Technologies numériques
|
|---|
| Bailleur de fonds | Rechercher : National Research Council Canada |
|---|
| Format | Texte, Article |
|---|
| Sujet | generative diffusion model; protein generation; fractional Brownian motion; stochastic differential equation; ordinary differential equation |
|---|
| Résumé | 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. |
|---|
| Date de publication | 2025-08-05 |
|---|
| Maison d’édition | Elsevier |
|---|
| Licence | |
|---|
| Dans | |
|---|
| Langue | anglais |
|---|
| Publications évaluées par des pairs | Oui |
|---|
| Identificateur | S2001037025003101 |
|---|
| Exporter la notice | Exporter en format RIS |
|---|
| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
|---|
| Identificateur de l’enregistrement | 661280ad-085a-4025-8cc2-f0a57ba5e906 |
|---|
| Enregistrement créé | 2025-09-18 |
|---|
| Enregistrement modifié | 2025-11-03 |
|---|
