Guest lecture: Using Big Data to Facilitate the Search for Novel Antiinfectives

Speaker: Professor Nadine Ziemert. German Centre for Infection Research (DZIF), Interfaculty Institute of Microbiology and Infection Medicine, Institute for Bioinformatics and Medical Informatics, University of Tuebingen, Germany.

31.10.2019 | Thomas Tørring

Dato tir 12 nov
Tid 14:15 15:15
Sted Building 1532-122. Auditorium G2

The next lecture in our series on Discovery of new antibiotics is from Professor Nadine Ziemert. Her lecture will be in the Auditorium G2 on Tuesday the 12th of November at 14:15. The title of her talk is:

Using Big Data to Facilitate the Search for Novel Antiinfectives

Abstract:

Multi-resistant bacteria are on the rise, to an extent that the WHO warns against a postantibiotic era, in which common infections and minor injuries can kill. At the same time the development of urgently needed novel antibiotics is in decline. A large portion of antibiotics is produced as so-called natural products from bacteria. Using traditional methods, we are facing various challenges in the search for novel antibiotics, including the frequent re-isolation of known compounds, and laborious and cost intensive ways to identify and determine the structure of new compounds. The revolution of next generation sequencing methods and along with it the enormous amount of publicly available DNA sequences, has now shifted traditional bioactivity guided or chemical screening methods towards genomic-based approaches and resulted in a renaissance of natural product research. Genome mining for natural products has been a boon to the field allowing for rapid and inexpensive identification of putative antibiotic gene clusters. With no shortage of leads to investigate, the challenge of prioritizing these predictions for wet-lab experiments remains an important step to focus on the most promising compounds with novel mode of actions.

This talk will introduce a selection of computational tools from the Ziemert lab that can be used for a rapid automated identification and examination of novel antibiotic gene clusters.

Coffee and cake will be served

We have two additional speakers planned – titles and abstracts will follow later, but please mark the dates in your calendar already now:

Professor Lone Gram, Technical University of Denmark, Tuesday 10th of December

Associate Professor Mikael Lenz Strube, Technical University of Denmark, Tuesday 10th of December

We hope to see you there, Andreas Schramm and Thomas Tørring

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