# Unlocking New Bioactive Peptides from Coffee Pulp: A Metagenomics and AI-Driven Discovery Paradigm

**Authors:** Yamil Liscano, Nicolás Caicedo, Jose Oñate-Garzón

PMC · DOI: 10.3390/foods14213682 · 2025-10-29

## 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.

## Key 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 agricultural product, turning a national challenge into a global opportunity in the bioeconomy.

## Full-text entities

- **Diseases:** cytotoxicity (MESH:D064420), AI (MESH:C538142), injury to (MESH:D014947), death (MESH:D003643)
- **Chemicals:** Lactic acid (MESH:D019344), acetaldehyde (MESH:D000079), MPOGAN (-), silica (MESH:D012822), tannins (MESH:D013634), polyphenols (MESH:D059808), sugar (MESH:D000073893), lipids (MESH:D008055), aldehydes (MESH:D000447), alcohols (MESH:D000438), silane (MESH:D012821), GABA (MESH:D005680), Acid (MESH:D000143), Oxygen (MESH:D010100), carbohydrate (MESH:D002241), phenols (MESH:D010636), esters (MESH:D004952), carbons (MESH:D002244), caffeine (MESH:D002110)
- **Species:** Cystofilobasidium (genus) [taxon 5410], Leptospira sp. AB (species) [taxon 103236], Paucilactobacillus vaccinostercus (species) [taxon 176291], Mangifera indica (mango, species) [taxon 29780], Musa acuminata (banana, species) [taxon 4641], Acetobacter subgen. Acetobacter (subgenus) [taxon 151157], Levilactobacillus brevis (species) [taxon 1580], Pseudonocardia (genus) [taxon 1847], Pichia nakasei (species) [taxon 53656], Sphingomonas (genus) [taxon 13687], Fructobacillus (genus) [taxon 559173], Pedobacter (genus) [taxon 84567], Tatumella (genus) [taxon 82986], Lactococcus (lactic streptococci, genus) [taxon 1357], Cladosporium (genus) [taxon 5498], Hanseniaspora (genus) [taxon 29832], Nakamurella (genus) [taxon 53460], Homo sapiens (human, species) [taxon 9606], Penicillium (genus) [taxon 5073], Saccharomyces cerevisiae (baker's yeast, species) [taxon 4932], Pseudomonas (RNA similarity group I, genus) [taxon 286], Leuconostoc (genus) [taxon 1243]

## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12608849/full.md

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Source: https://tomesphere.com/paper/PMC12608849