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VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Statistical Machine Learning Methods Reveal Structural Mechanisms 
 of Protein-DNA Binding
DTSTART:20220426T120000
DTEND:20220426T140000
DTSTAMP:20260407T101402Z
UID:d9d3cc8063bd494ee538eb3bf90e0319e40fcf5fc30def3e2167e579
CATEGORIES:Conferences - Seminars
DESCRIPTION:Remo Rohs\nDepartment of Quantitative and Computational Biolog
 y\nUniversity of Southern California\nLos Angeles\, USA\nWith the availabi
 lity of a large amount of experimentally solved three-dimensional structu
 res of transcription factor-DNA complexes and DNA sequence data from high
 -throughput binding assays\, we developed statistical machine learning and
  deep learning methods that identify features of nucleic acids and protein
 s that are essential for protein-DNA readout and binding specificity. This
  talk will introduce such approaches and the new possibilities that such c
 omputational approaches provide for answering biological questions that re
 late to molecular recognition and gene regulation.\n 
LOCATION:MA A3 30
STATUS:CONFIRMED
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