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TZID:Europe/Paris
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UID:1576@i2m.univ-amu.fr
DTSTART;TZID=Europe/Paris:20170213T110000
DTEND;TZID=Europe/Paris:20170213T120000
DTSTAMP:20170129T100000Z
URL:https://www.i2m.univ-amu.fr/evenements/working-in-the-twilight-zone-of
 -sequence-similarity/
SUMMARY: (...): Working in the twilight zone of sequence similarity
DESCRIPTION:: Below 30% sequence identity lies the so-called twilight-zone 
 of protein sequence similarity. Yet\, it is well known that proteins can b
 e evolutionarily related and share even less sequence identity. We refer t
 o these as remotely conserved homologs or orthologs. Protein motifs\, due 
 to their extreme shortness\, are also found in the twilight zone of sequen
 ce similarity. My lab is interested in using such remote homologies to enh
 ance our knowledge on protein evolution and protein function. In my talk\,
  I will introduce two methods we use to work with remote sequence similari
 ties. One part of my talk will be dedicated to finding orthologs in the tw
 ilight zone of sequence similarity. I’ll introduce a method\, morFeus\, 
 which uses relaxed BLAST-searches together with iterative reciprocal BLAST
 s for ortholog verification and network scoring to identify remotely conse
 rved orthologs. In the second part of the talk\, I will focus on working w
 ith short linear motifs in proteins and present a novel method from my lab
  for de novo motif prediction in proteins\, HH-MOTiF.http://www.biochem.mp
 g.de/en/rg/habermann
CATEGORIES:Séminaire,Mathématiques-Évolution-Biologie
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DTSTART:20161030T020000
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