Anne Lopes, co-founder of Meet-U, UPSUD - UPSaclay referent, Maître de Conférences in Biology. Her research work at the Institute of Integrative Biology of the Cell (I2BC) consists in deciphering the mechanisms underlying the functioning and evolution of biological systems. She chose to apprehend biological systems by focusing on the functioning and the evolution of proteins and of their interactions. Her projects aim at characterizing the 3D structure of proteins and their interactions by molecular modeling approaches integrating evolutionary information.
	Elodie Laine, co-founder of Meet-U, UPMC referent, Maître de Conférences in Biology. Her research activities at the laboratory of Computational and Quantitative Biology (LCQB) concern protein evolution, structural dynamics, interactions and allosteric regulation. She develops methods to predict mutational outcomes, protein-protein interactions and alternative splicing induced changes at large scale.
	Juliana Bernardes, students supervision, Maître de Conférences in Engineering at UPMC. Her research activities at the laboratory of Computational and Quantitative Biology (LCQB) are linked to protein domain annotation, comparative genomics and personalized medicine. To address these issues, she develops statistical and machine learning related methods.
	Gaëlle Lelandais, in charge of collaborative work managment, Professor in Biology at UPSUD - UPSaclay. She teaches statistics, bioinformatics and functional genomics. Her research activities are linked to functional genomics and the characterization of transcriptional regulation networks, by exploiting experimental « high-thoughput » data (genomics, transcriptomics, proteomics).
	Yasser Mohseni Behbahani, students supervision, PhD student at the laboratory of Computational and Quantitative Biology (LCQB). He works on the characterization of protein-protein interactions. Using machine learning algorithms, he develops methods and measures to estimate the effect of mutations on protein binding affinity and to discriminate cellular partners from non-interactors.
	Maureen Muscat, students supervision, PhD student at the laboratory of Computational and Quantitative Biology (LCQB). She is interested in the use of coevolution signals to characterise and predict interaction between domains and between proteins. She uses supervised machine learning methods to enhance the quality of these predictions. This could be useful to improve scoring for protein-protein docking.
	Chris Papadopoulos, students supervision, PhD student in biology at I2BC (University Paris-Saclay). His background is mostly on Drug Design in silico. He is currently interested in identifying the foldability potential “hidden” in the non-coding regions of the genomes. He uses molecular modeling methods for predicting potential 3D templates that can emerge from the “junk DNA” as a potential tool of structural novelty emergence.

Formations Universitaires Participantes

	Univ Paris-Sud - Univ Paris-Saclay Master de Bioinformatique Parcours AMI2B, Paris-Sud Christine Froidevaux & Olivier Lespinet
	Sorbonne Université Spécialité Bioinformatique et Modélisation Master Biologie Moléculaire et Cellulaire Stéphane Le Crom & Philippe Lopez Master d'Informatique Alessandra Carbone & Martin Weigt

Acknowledgements

We thank the French Institute of Bioinformatics, which provided access to its Cluster to the participating teams and some technical support.