📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

A chemistry-first approach to uncovering novel natural products from a proprietary strain collection of rare and unexplored bacteria

Lead Research Organisation: University of Nottingham
Department Name: Sch of Chemistry

Abstract

This project is a new collaboration, combining the expertise in the O'Neill lab in high throughput molecular networking and genome mining and the unique strain library and industrial experience in Bactobio to take a chemistry-first approach in discovering novel natural products for application in pharmaceutical or agritech industries.
The key enabling technology for this research is mass-spectrometry based molecular networking, enhanced with machine learning algorithms, operated through the GNPS platform. This analyses complex cell extracts and identifies which compounds to focus research efforts on, avoiding compound rediscovery. In the O'Neill lab we have used this technique to analyse 146 bacterial species, identifying 15 families of natural products, and we recently discovered a new family of cyclic lipopetides.

People

ORCID iD

Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
BB/T008369/1 30/09/2020 29/09/2028
2886339 Studentship BB/T008369/1 30/09/2023 29/09/2027