Polypeptide screened through deep learning network and having antibacterial activity and application thereof

By constructing deep learning networks and combining Alphafold2 structural prediction and molecular dynamic simulation, the polypeptide with antibacterial activity is screened, the problem of time -consuming and effectiveness of traditional methods is solved, and efficient screening and verification of antibacterial peptides are realized.

CN119360982APending Publication Date: 2025-01-24CHINA PHARM UNIV
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Patent Information

Application Number
CN202411393002.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-08
Publication Date
2025-01-24

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Abstract

The invention belongs to polypeptides, and particularly relates to a polypeptide which is screened through a deep learning network and has antibacterial activity and application of the polypeptide. According to the invention, a more efficient polypeptide antibacterial activity prediction model is constructed, through model prediction and an antibacterial peptide screening process, a novel antibacterial peptide which is verified by experiments and has good broad-spectrum antibacterial activity is finally obtained, and the effectiveness of the screening process is proved. The novel antibacterial peptide P3217-0 disclosed by the invention is not reported in literatures, also has outstanding inhibition capability on drug-resistant bacteria MRSA, and shows good application prospect and research value.
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Cited By

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