Emmanuel L. C. de los Santos

Molecular basis for depsipeptide HDAC inhibitor combinatorial biosynthesis

The paper identifies a novel subunit docking mechanism in depsipeptide HDAC inhibitor biosynthesis using gene proximity searching and experimental validation.

Charting the biosynthetic landscape of hybrid polyketide-nonribosomal peptide-specialized lipids

The paper identifies and characterizes new hybrid peptide-polyketide-specialized lipid biosynthesis pathways in bacteria, revealing novel metabolites with functional properties.

An O-acetylated derivative of piericidin A1 produced by Kitasatospora sp. A2-31 has potent activity against the cacao mirid bug, Helopeltis bakeri Poppius

The paper identifies a novel acetylated derivative of piericidin A1 from Kitasatospora sp. A2-31 that shows 100% mortality against the cacao mirid bug.

Early steps of the biosynthesis of the anticancer antibiotic pleurotin

This study identifies the origin of the quinone ring in pleurotin and characterizes a biosynthetic intermediate using genome sequencing and heterologous expression.

A Streptomyces venezuelae Cell-Free Toolkit for Synthetic Biology

The paper presents an improved Streptomyces venezuelae cell-free TX-TL system with higher protein yields and reduced batch variation, enabling synthetic biology applications.

A computational framework for systematic exploration of biosynthetic diversity from large-scale genomic data

The paper introduces two tools, BiG-SCAPE and CORASON, for analyzing biosynthetic gene clusters in large genomic datasets, demonstrating their utility through validation and discovery of new gene cluster families.

NeuRiPP: Neural network identification of RiPP precursor peptides

NeuRiPP improves identification of RiPP precursor peptides by using neural networks trained on diverse datasets, outperforming existing tools in detecting novel RiPP classes.

clusterTools: Proximity Searches For Functional Elements To Identify Putative Biosynthetic Gene Clusters

clusterTools identifies putative biosynthetic gene clusters by querying functional elements in genomic data.