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BEGIN:VEVENT
DTSTAMP:20260510T145204Z
DTSTART;VALUE=DATE-TIME:20210210T130000
DTEND;VALUE=DATE-TIME:20210210T140000
SUMMARY:BMS Divisional Webinar: Machine Learning Guided Discovery of Prot
 ein Interactions and Functions\, Dr Fayyaz Minhas\, PathLAKE Consortium\
 , Department of Computer Science
TZID:Europe/London
UID:20210210-8a1785d77715684b01773f15057b6de4@warwick.ac.uk
CREATED:20210127T144553Z
DESCRIPTION:Abstract: How can we find proteins that inhibit CRISPR? How c
 an we train a computer to identify patterns in proteins sequences and st
 ructures to predict their anti-microbial properties? How can we identify
  interactions of different proteins and their binding sites? Proteins - 
 the workhorse of the biological cell - perform a variety of functions in
  the cell. These range from structural support to the regulation of diff
 erent biological processes and often involve interactions of multiple pr
 oteins. Identification of biological functions and interactions of prote
 ins in the wet lab requires specialized assays which can be limited in t
 heir throughput as well as being time consuming and labour intensive. Ma
 chine learning - training a computer to identify predictive patterns - i
 s a useful tool to guide wet lab experiments for discovering protein fun
 ctions and interactions. In this webinar\, we shall discuss how machine 
 learning can be applied for the discovery of a variety of protein functi
 ons and their interactions. We will discuss our recent work on the disco
 very of anti-CRISPR proteins in collaboration with the Doudna lab (winne
 r of the 2020 Chemistry Nobel) as well as development of tools for anti-
 microbial peptide prediction and identification of viral binding protein
 s and their binding sites. Biography: Dr. Fayyaz Minhas joined the depar
 tment of computer science at the University of ÌÇÐÄTV in 2019. He is af
 filiated with the tissue image analytics center and the PathLAKE consort
 ium at ÌÇÐÄTV. He works at the crossroads of machine learning\, biology
  and medicine and has developed various machine learning tools in the fi
 elds of bioinformatics\, metabolomics and computational pathology. He is
  a recipient of the Fulbright award for his PhD as well as the best rese
 archer award from the higher education commission of Pakistan. Further i
 nformation
LOCATION:MS Teams
CATEGORIES:BiomedicalSciences,DivisionalSeminars
LAST-MODIFIED:20210127T144553Z
ORGANIZER;CN=Jas Bains:
END:VEVENT
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