ProtAgents: protein discovery via large language model multi-agent collaborations combining physics and machine learning.

ABSTRACT: Designing de novo proteins beyond those found in nature holds significant promise for advancements in both scientific and engineering applications. Current methodologies for protein design often rely on AI-based models, such as surrogate models that address end-to-end problems by linking protein structure to material properties or vice versa. However, these models frequently focus on specific material objectives or structural properties, limiting their flexibility when incorporating out-of-domain knowledge into the design process or comprehensive data analysis is required. In this study, we introduce ProtAgents, a platform for de novo protein design based on Large Language Models (LLMs), where multiple AI agents with distinct capabilities collaboratively address comple

SUBMITTER: Ghafarollahi A 

PROVIDER: S-EPMC11235180 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature