BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//LORIA - ECPv6.17.4.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:LORIA
X-ORIGINAL-URL:https://www.loria.fr
X-WR-CALDESC:Évènements pour LORIA
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Paris
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20230326T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20231029T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20240331T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20241027T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20251026T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20240710T140000
DTEND;TZID=Europe/Paris:20240710T160000
DTSTAMP:20240710T081214Z
CREATED:20240630T202622Z
LAST-MODIFIED:20240710T081214Z
UID:26417-1720620000-1720627200@www.loria.fr
SUMMARY:PhD Defense: Diego Amaya (Capsid)
DESCRIPTION:Diego Amaya (Capsid) will defend his thesis\, entitled « Data science approach for the exploration of HLA antigenicity based on 3D structures and molecular dynamics »\, on Wednesday\, July 10 at 2 p.m.\, in room A008. \nAbstract:\n\n\nOrgan transplantation is the sole treatment for end-stage organ failure\, with 10\,810 patients on the waiting list and only 5\,493 transplants conducted in France in 2022. The primary cause of transplant loss is the recipient’s alloimmune response\, particularly the humoral response producing donor-specific antibodies (DSA) against Human Leukocyte Antigen (HLA) mismatches. The complexity of the HLA system\, with its vast genetic polymorphism\, poses challenges for defining compatibility between donor and recipient\, which currently relies on serological classifications at antigen level.\nThis thesis addresses the challenge of defining HLA antigenicity through 3D molecular data and data science. High-quality 3D structures and molecular dynamics (MD) simulations of 207 HLA antigens were generated and analyzed to understand structural differences influencing antigenicity. Complementarily\, 3D shape descriptors for comparison of dynamic protein surfaces (i.e. Zernike descriptors) were explored. Additionally an HLA Epitope Predictor (HLA-EpiCheck)  was trained on static and dynamic structural features to predict HLA antigenicity. The predictor demonstrated a high performance in identifying eplets\, showing strong agreement with experimental data. Finally\, HLA-3D-Diff was developed to visualize and compare 3D HLA structures\, aiding in the understanding of complex immunization patterns.\n\nKeywords: Organ transplantation\, molecular dynamics\, HLA antigenicity\, data science.\n\nThesis Committee:\n\nReviewers: \n\n\n\nJuliette Martin\, DR CNRS\, École Normale Supérieure Lyon\nFrédéric Cazals\, DR INRIA\, Centre Sophia Antipolis–Méditerranée\n\n\n\nExaminers: \n\n\n\nManuel Dauchez\, Professor\, University of Reims Champagne-Ardenne\nOlivier Toutirais\, Professor\, University of Caen\nMalika Smaïl-Tabbone\, MC HDR\, University of Lorraine\n\n\n\nSupervisors: \n\n\n\nMarie-Dominique Devignes\, CR CNRS (HDR)\, LORIA Nancy\nJean-Luc Taupin\, Professor\, University Paris-Cité
URL:https://www.loria.fr/event/phd-defense-diego-amaya-capsid/
LOCATION:A008
CATEGORIES:Soutenance
END:VEVENT
END:VCALENDAR