Bioactive Cyclic Peptides Discovery via SNaPP Bioinformatics
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Solution Overview
Problem
Traditional methods for discovering novel nonribosomal peptides (NRPs) are time-consuming and inefficient, as they rely on fermentation approaches that require bacterial culture and optimization, often rediscovering known compounds and struggling with cryptic biosynthetic gene clusters and unculturable bacteria, limiting the discovery of bioactive cyclic peptides.
Innovation Solution
The SNaPP method combines bioinformatics tools like antiSMASH and PRISM to predict peptide products from NRPS BGCs, followed by chemical synthesis, prioritizing head-to-tail cyclic peptides catalyzed by PBP-like cyclases, bypassing fermentation and culturing requirements, and focusing on biologically relevant cyclization sites to expedite the discovery of bioactive cyclic peptides.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional fermentation approaches are used to discover NRPs, then bacterial culture and optimization can be performed, but the process becomes time-consuming and inefficient
Solution Approach 1:
The patent applies preliminary action by using bioinformatics tools (antiSMASH, PRISM) to predict peptide products from NRPS BGCs before actual synthesis. This allows researchers to identify potential bioactive peptides computationally and prioritize them for synthesis, bypassing the need for time-consuming fermentation and cultural optimization while maintaining discovery reliability through in silico prediction and validation
2Adaptability or versatility
If fermentation approaches are used, then bacterial culture is possible, but unculturable bacteria and cryptic BGCs cannot be effectively accessed
Solution Approach 1:
The patent replaces the mechanical/biological fermentation system with a computational-chemical system. Bioinformatics tools analyze genomic data to predict peptide structures, and chemical synthesis produces the actual compounds. This substitution eliminates the need for bacterial culturing while expanding accessibility to unculturable bacteria and cryptic BGCs that cannot be accessed through traditional fermentation methods
3Quantity of substance
If all predicted peptide products are synthesized, then comprehensive coverage is achieved, but resource efficiency decreases
Solution Approach 1:
The patent applies local quality by prioritizing synthesis of peptides with predicted bioactivity based on structural features and functional predictions from bioinformatics analysis. Instead of synthesizing all predicted peptides equally, the method focuses resources on high-priority candidates identified through computational screening, thereby maintaining peptide diversity while reducing resource consumption through targeted synthesis based on local structural and functional characteristics
Data Source
AI summary
The present disclosure teaches a method of treating a patient in need of therapeutic intervention with bioactive cyclic peptide molecules which are useful as antimicrobials, anticancer agents, antiparasitic, immunosuppressants, and others.