Joint Design of Protein Sequence and Structure based on Motifs

• URL: http://arxiv.org/abs/2310.02546v1
• Date: Wed, 4 Oct 2023 03:07:03 GMT
• Title: Joint Design of Protein Sequence and Structure based on Motifs
• Authors: Zhenqiao Song, Yunlong Zhao, Yufei Song, Wenxian Shi, Yang Yang, Lei Li
• Abstract summary: We propose GeoPro, a method to design protein backbone structure and sequence jointly. GeoPro is powered by an equivariant encoder for three-dimensional (3D) backbone structure and a protein sequence decoder guided by 3D geometry. Our method discovers novel $beta$-lactamases and myoglobins which are not present in protein data bank (PDB) and UniProt.
• Score: 11.731131799546489
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Designing novel proteins with desired functions is crucial in biology and chemistry. However, most existing work focus on protein sequence design, leaving protein sequence and structure co-design underexplored. In this paper, we propose GeoPro, a method to design protein backbone structure and sequence jointly. Our motivation is that protein sequence and its backbone structure constrain each other, and thus joint design of both can not only avoid nonfolding and misfolding but also produce more diverse candidates with desired functions. To this end, GeoPro is powered by an equivariant encoder for three-dimensional (3D) backbone structure and a protein sequence decoder guided by 3D geometry. Experimental results on two biologically significant metalloprotein datasets, including $\beta$-lactamases and myoglobins, show that our proposed GeoPro outperforms several strong baselines on most metrics. Remarkably, our method discovers novel $\beta$-lactamases and myoglobins which are not present in protein data bank (PDB) and UniProt. These proteins exhibit stable folding and active site environments reminiscent of those of natural proteins, demonstrating their excellent potential to be biologically functional.

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