Unlocking New Bioactive Peptides from Coffee Pulp: A Metagenomics and AI-Driven Discovery Paradigm
Yamil Liscano, Nicolás Caicedo, Jose Oñate-Garzón

TL;DR
This paper proposes using coffee pulp's unique microbiome and AI to discover new bioactive peptides, transforming waste into valuable bioproducts.
Contribution
A novel framework combining metagenomics and AI to discover bioactive peptides from coffee pulp microbiomes.
Findings
Coffee pulp's microbiome is uniquely resilient due to its harsh chemical environment.
The proposed pipeline uses metagenomics and AI to generate bioactive peptides pre-optimized for industrial use.
Abstract
This perspective reframes Colombian coffee pulp from an environmental liability into a strategic asset by proposing a new discovery paradigm. We argue that the pulp’s challenging chemical environment is not a barrier but its key advantage, having acted as a natural evolutionary filter that has sculpted a unique, highly resilient microbiome. Our vision is a technology pipeline that harnesses this natural pre-selection. By converging deep metagenomic data from the pulp’s microbiome with generative artificial intelligence, we can create and validate novel, high-performance bioactive peptides and enzymes that are already pre-optimized for industrial robustness. This approach transcends traditional waste valorization, establishing a new framework for “biointelligence” in action. It offers a strategic roadmap for Colombia to generate knowledge-intensive value chains from its most iconic…
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Taxonomy
TopicsCoffee research and impacts · Global trade, sustainability, and social impact · Bioeconomy and Sustainability Development
