Detalle de: Computational identification of small signalling peptides
| Title | Computational identification of small signalling peptides |
| Description |
Project on the prediction of small signalling peptides in plants developing a web tool from its associated back-end performance based on computer vision method GeoTop and topological deep learning applied on the LLM ESM-2 for pro-peptide sequences. |
| Type Of Funding | Regional |
| Funding Agency | University of Malaga (B1-2022_29) |
| Grant Number | |
| Project Acronym | |
| Period | 01/03/2023-31/03/2024 |
| Funding Amount | |
| Ontology | Large language models, Function prediction, Web-service, Sequence analysis, Deep Learning in Biology |
| Research Groups | Plant-virus interaction, Machine Learning in Multi-Omics (MLiMO) |
| Researchers | Ian Morilla |