Protein A-like Peptide Design Based on Diffusion and ESM2 Models.
Ontology highlight
ABSTRACT: Proteins are the foundation of life, and designing functional proteins remains a key challenge in biotechnology. Before the development of AlphaFold2, the focus of design was primarily on structure-centric approaches such as using the well-known open-source software Rosetta3. Following the development of AlphaFold2, deep-learning techniques for protein design gained prominence. This study proposes a new method to generate functional proteins using the diffusion model and ESM2 protein language model. Diffusion models, which are widely used in image and natural language generation, are used here for protein design, facilitating the controlled generation of new sequences. The ESM2 model, trained on the basis of large-scale protein sequence data, provides a deep understanding of the context of
SUBMITTER: Zhao L
PROVIDER: S-EPMC11510650 | biostudies-literature | 2024 Oct
REPOSITORIES: biostudies-literature
ACCESS DATA