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Bioinformatics Seminar, July 2019
In Silico Design of Bioisosteric Modifications of a Drug for the Treatment of Diabetes:
- Guillaume Vink (speaker)
- Stephen Wren (supervisor)
- Gabriel Flores Lipa
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Bioinformatics Seminar, July 2017
Propeties of dimorphics interfaces:
- Solene Guiglion
- Johanna Laibe
- Aaron Caffrey
Previous seminars
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Bioinformatics Seminar, August 2016
- Grzegorz Rorbach: MicroRNA annotation: application to regulation of SPARC protein
- Johanna Laibe & Melanie Broutin: Protein aggregation prediction, application to cataract
- Aaron Caffrey: Protein-protein interaction prediction
- Jad Abbass: Protein structure prediction
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Bioinformatics group at Conf. of the Interdisciplinary hub for the Study of Health and Age-related conditions, June 2016
- Melanie Broutin: Bioinformatics study of crystallin aggregation
- Aaron Caffrey: Interface threading for protein-protein interaction prediction
- Angel Gonzalez: G protein-coupled receptors as attractive pharmaceutical targets
- Johanna Laibe: Structural bioinformatics-based modelling of protein aggregation
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Bioinformatics group at Conf. of the Interdisciplinary hub for the Study of Health and Age-related conditions, June 2014
- Jad Abbass: Incorporatting functional and structural annotations into fragment-based protein structure prediction Award at the best presentation competition
- Ewa Kania: Detection of mirror conformations among protein models obtained from contact maps
- Johanna Laibe: Study of crystallins aggregation properties
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Bioinformatics group at Conf. of the Interdisciplinary hub for the Study of Health and Age-related conditions, July 2013
- Akanksha Srivastava: HOMODIMER PREDICTION, Pattern Recognition of Symmetrical Protein-Protein Interaction Sites. Award at the best poster competition, poster [PDF]
- Reyhaneh Esmaielbeiki: Scoring Protein-Protein Docking Conformations Using Predicted Protein Interfaces. Award at the best presentation competition
- Celine Elie and Manon Duvieubourg: Study of crystallins refraction indices.
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Bioinformatics Seminar, July 2012
- Integration of 3D protein structures within a 3D Electron Microscopy map by Cyril Cardon (MSc stud.)
- Study of crystallins refraction indices by Kaj Mahendiran (Research assistant)
- Machine learning to investigate correlations between genes and cancers by Marta Fullen (UG stud.)
- Protein Interface Prediction Based on Ligand Diversity Quantification by R. Esmaielbeiki (PhD stud.)
- Fragment-based protein structure prediction by Jad Abbass (PhD student)
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