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DTSTAMP:20260709T055640Z
UID:42c0c4fe-9c5b-428f-94fe-547670b98a67
DTSTART:20241216T080000Z
DTEND:20241220T160000Z
DESCRIPTION:Educators: \nAlexander Zoblin\, Felipe Engelberger-Aliaga\, Mat
 eusz Skłodowski\, Moritz Ertelt\n\nDate: \n16-20.12.2024\n\nLocation: \nL
 eipzig University\, BBZ and S1/S2 Brüderstraße 34\n\nContents:\nPeptides
  as therapeutics are an emerging class of therapeutics modalities\, due to
  their high binding affinities and specificities. Here we will discuss the
 ir characteristics as therapeutic class and give an overview of recent and
  future developments. Furthermore\, we highlight strategies for identifica
 tion and optimization of peptide therapeutics. We will also cover emerging
  technologies for structure-based computational design of peptides using R
 osetta. Specifically\, we will train students in the theoretical backgroun
 d of computational techniques for Peptide design and provide hands-on trai
 ning with respect to engineering peptides consisting of genetically encode
 d but also non-canonical amino acids.\n\nLearning goals:\nIntroduction to 
 (Py)Rosetta for molecular modeling and design\nOverview of protein structu
 re prediction methods for peptides\nOverview of generative AI methods for 
 peptide generation\n\nPrerequisites:\nBasic bioinformatics knowledge\n\nKe
 ywords:\nProtein Design\, Protein Modeling\, Generative AI\n\nTools:\nRose
 tta\, ProteinMPNN\, RFdiffusion\, Alphafold2
LOCATION:Brüderstraße 34\, 34 Brüderstraße
SUMMARY:Computational Design and Directed Evolution of Therapeutic Peptides
URL;VALUE=URI:https://www.denbi.de/training-courses-2024/1828-computational
 -design-and-directed-evolution-of-therapeutic-peptides
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