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SUMMARY:Understanding and Predicting the Membrane Permeability of Macrocyc
 lic Peptides Based on Large-Scale Data
DTSTART:20260915T161500
DTEND:20260915T171500
DTSTAMP:20260526T170127Z
UID:14bed726241919ef96cb0829ed54132aaab651bed8844582727341dd
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Shinsuke Sando\, University of Tokyo\nMacrocyclic peptid
 es are promising molecules for targeting intracellular protein–protein i
 nteractions and other challenging biological targets. However\, their poor
  membrane permeability often limits their biological and therapeutic appli
 cations. Understanding the structural factors that govern passive membrane
  permeation is therefore essential for the rational design of cell-permeab
 le macrocyclic peptides.\n\nIn this seminar\, I will present our recent ef
 forts to understand and predict the membrane permeability of macrocyclic p
 eptides using large-scale experimental data\, conformational analysis\, an
 d machine learning. We aim to clarify how conformational flexibility\, inc
 luding molecular chameleonicity\, influences membrane permeability.\n\nI w
 ill also introduce our ongoing efforts toward DNA-encoded macrocyclic N-me
 thyl peptide libraries as a future platform for discovering functional int
 racellular binders.
LOCATION:CH G1 495 https://plan.epfl.ch/?room==CH%20G1%20495
STATUS:CONFIRMED
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