Computational Strategies for Unveiling Low-Abundance Lipids: From Epilipids to Click Chemistry Derivatives
Presented by:
Prof. Laura Goracci
Synopsis
The aim of this webinar is to highlight computational strategies developed to support the analysis of low-abundant lipid species. First, algorithms designed for use during data processing will be briefly described. Then, computational workflows specifically developed for the annotation of epilipids, stable isotope-labeled lipids, and click chemistry-based lipid derivatives will be discussed.
About Prof. Laura Goracci
Laura Goracci is a Full Professor of Organic Chemistry at the University of Perugia, Italy. In 2004, she obtained her PhD in Chemical Sciences from the University of Perugia and her PhD in Organic Chemistry from the University of Bordeaux 1, as part of a joint-degree program. From 2008 to 2011, she worked at Multivariate Infometric Analysis Srl, collaborating with the software company Molecular Discovery Ltd and leading projects with several major pharmaceutical companies. In 2011, she returned to academia, where her research focuses on developing models to understand structure-activity relationships by generating in-house data, as well as designing cheminformatics workflows for pharmaceutical applications, particularly for hit-to-lead optimization and safety risk prediction. In this context, she also leads the design and development of the Lipostar and MARS software platforms for untargeted lipidomics and metabolomics, respectively, and continues to collaborate with pharmaceutical and software companies. She has placed particular emphasis on the development of in silico workflows for the detection and annotation of low-abundance species and served as Working Group Leader for "Epilipidomics Analysis and Data Integration Strategies" within the EpilipidNET COST Action.
December 11th, 2024
5pm GMT |
9am PST |
12pm EST
Prof. Laura Goracci
University of Perugia