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Gestafyrirlestur Lífvísindaseturs - Kerfislíffræðilegar nálganir við rannsóknir á samskiptum hýsils og sýkils

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Hvenær hefst þessi viðburður: 
1. mars 2017 - 15:00
Nánari staðsetning: 
Fróði fyrirlestrarsalur Íslenskrar erfðagreiningar að Sturlugötu 8
Nevan Krogan

Gestafyrirlestur Lífvísindaseturs og GPMLS framhaldsnámsprógrammsins

Fyrirlesari: Dr. Nevan Krogan, prófessor í frumu- og sameindalyfjafræði við Kaliforníuháskóla, San Francisco

Titill: Kerfislíffræðilegar nálganir við rannsóknir á samskiptum hýsils og sýkils (e. Using Systems Approaches to Study the Host-Pathogen Interface)

Ágrip: There is a wide gap between the generation of large-scale biological data sets and more-detailed, structural and mechanistic studies. However, recent work that explicitly combine data from systems and structural biological approaches is having a profound effect on our ability to predict how mutations and small molecules affect atomic-level mechanisms, disrupt systems-level networks and ultimately lead to changes in organismal fitness. Our group aims to create a stronger bridge between these areas primarily using three types of data: genetic interactions, protein-protein interactions and post-translational modifications.  Protein structural information helps to prioritize and functionally understand these large-scale datasets; conversely global, unbiasedly collected datasets helps inform the more mechanistic studies.  Our efforts in this respect have been focused on model organisms, but more recently in mammalian cells, with a particular focus on pathogenesis, as we use these tools, and a number of viruses and bacteria, to systematically and quantitatively study the host-pathogen interface.

Bakgrunnur: Nevan Krogan is a professor of Cellular and Molecular Pharmacology at the University of California, San Francisco (UCSF) and a senior investigator at the Gladstone Institutes. He is also the founding director of the Quantitative Biosciences Institute (QBI) at UCSF – with a mission of supporting scientists at the intersection between the biological and quantitative sciences.


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