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UID:DSC-17080
DTSTART;TZID=Europe/Berlin:20200227T130000
SEQUENCE:1582758444
TRANSP:OPAQUE
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URL:https://www.dresden-science-calendar.de/calendar/en/detail/17080
LOCATION:TUD CRTD\, Fetscherstraße 10501307 Dresden
SUMMARY:Troth-Petroczy: CMCB Life Sciences Seminar: Protein Sequence Space
CLASS:PUBLIC
DESCRIPTION:Speaker: Agnes Troth-Petroczy\nInstitute of Speaker: Max Planck
  Institute of Molecular Cell Biology and Genetics (MPI-CBG) and Center for
  Systems Biology Dresden (CSBD)\nTopics:\nBiologie\n Location:\n  Name: TU
 D CRTD (CRTD\, ground floor\, auditorium left)\n  Street: Fetscherstraße 
 105\n  City: 01307 Dresden\n  Phone: +49 (0)351 458 82052\n  Fax: +49 (0)3
 51 458 82059 \nDescription: <p>Publications:</p>  <p>1.       Toth-P
 etroczy A*\, Palmedo P*\, John Ingraham JI\, Thomas A. Hopf TA\, Berger B\
 , Sander C\, Marks DS. <strong>Structured states of disordered proteins f
 rom genomic sequences.</strong> Cell 2016\, 167(1):158-70.</p>  <p>2. 
       Rockah-Shmuel L\, Toth-Petroczy A\, Sela A\, Wurtzel O\, Sorek 
 R and Tawfik DS. <strong>The Occurrence and Bypass of Frame-shifting Inse
 rtion-Deletions (InDels) to give Functional Proteins are correlated.</stro
 ng> PloS Genetics 2013 (10) e1003882</p>  <p>3.       Dellus-Gur E
 *\, Toth-Petroczy A*\, Elias M\, Tawfik DS. <strong>What makes a protein 
 fold amenable to functional innovations? Fold polarity and stability trade
 -offs.</strong> J Mol Biol 2013\; 425(14):2609-21.</p>  <p>4.     
   Toth-Petroczy A and Tawfik DS. <strong>Protein insertions and deletion
 s enabled by neutral roaming in sequence space.</strong> Mol Biol Evol 2
 013\; 30(4):761-71.</p>  <p>5.       Tóth-Petróczy A and Tawfik DS
 . <strong>Slow protein evolutionary rates are dictated by surface-core as
 sociation. </strong>PNAS 2011\, 108(27):11151-6.</p>  <p>Abstract:</p>  
 <p>Protein sequence space is vast\, the possibilities are astronomical\, y
 et only a tiny fraction of it is sampled by existing proteins. We mine evo
 lutionary information from millions of genomes to understand how protein f
 amilies evolve\, and what rules govern their functional and structural div
 ergence. We focus not only on genetic mutations but also on phenotypic mut
 ations\, i.e. mutations introduced by transcriptional and translational ma
 chinery. We wish to answer how proteins remain robust to mutations and fac
 ilitate innovations at the same time. We combine bioinformatics\, modellin
 g and experimental evolution to answer fundamental questions about molecul
 ar evolution.</p>  <p><strong>Everybody is very welcome! </strong></p>
DTSTAMP:20260518T060748Z
CREATED:20200206T230845Z
LAST-MODIFIED:20200226T230724Z
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