Ab-initio amino acid sequence design from protein text description with ProtDAT.

ABSTRACT: Protein design has become a critical method in advancing significant potential for various applications such as drug development and enzyme engineering. However, protein design methods utilizing large language models with solely pretraining and fine-tuning struggle to capture relationships in multi-modal protein data. To address this, we propose ProtDAT, a de novo fine-grained multi-modal data interaction framework capable of designing proteins from descriptive protein text input. ProtDAT builds upon the inherent characteristics of protein data to unify sequences and text as a cohesive whole rather than separate entities. It leverages a novel Multi-modal Cross-attention, integrating protein sequences and textual information for a foundational level and seamless integration. Evaluation metr

SUBMITTER: Guo XY 

PROVIDER: S-EPMC12658071 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature