Latest News

Guillaume Levieux is Assistant Professor of computer science at the CEDRIC lab at Conservatoire National des Arts et Métiers, Paris, France. He holds a MSc and a PhD in computer science from the CNAM. His research interests includes motivation in video games, procedural content generation, computer human interaction, game design. He is the main developer of UDock since 2014 and an associated member of the ViDOCK project. 

Selected publications:
Craciun D, Levieux G, Montes M. Shape Similarity System driven by Digital Elevation Models for Non-Rigid Shape Retrieval. Eurographics Workshop on 3D Object Retrieval, 2017
Levieux G, Montes M. Towards real-time interactive visualization modes of molecular surfaces: examples with Udock. Virtual and Augmented Reality for Molecular Science (VARMS@ IEEEVR), 2015
Levieux G, Tiger G, Natkin S, Zagury JF, Montes M. FD169: UDock, the protein docking entertainment system. Faraday Discuss. 2014, 169 (1): 425-441

Lea Sirugue is a Postdoctoral Researcher in the ViDOCK team. She is a former PhD student under the supervision of Matthieu Montes working at laboratory GBCM, Conservatoire National des Arts et Metiers, Paris, France. She holds a Masters degreee from the Université Pierre et Marie Curie, Paris, France in computer science, mathematics and bioinformatics. Her research work within the ViDOCK project is the developpement of proteins' surface descriptors and 3D shape recognition. .

Benjamin Boyer is a Research Scientist in structural bioinformatics. He achieved his Ph. D. from Paris Diderot University in structural bioinformatics on molecular dynamics of Protein-DNA interactions. He is a senior developer of the Pytools project. He is a former member of the ViDOCK Team where he developed UDock v2 and supported the management of all OpenSource codes produced through the project

Daniela Craciun is a formner member of the ViDOCK team. She is a Research Scientist in Applied Mathematics to Computer Vision and Robotics fields. She achieved her Ph. D. degree at Telecom ParisTech ENST along with a doctoral grant funded by the French Mapping Agency to work on 3D modeling of complex environments from active and passive 3D vision sensors. She joined the Robotics Center (CAOR) of the MINES ParisTech to work on 3D modeling from mobile mapping systems and the CNAM – iMATH - GBCM Lab to conduct research on 3D shape modeling and pattern recognition within the ERC project VIDOCK.

Selected publications:
Craciun D, Sirugue J, Montes M. Global-to-local protein shape similarity system driven by digital elevation models. IEEE Biosmart 2017 N Song, D Craciun, et al. Protein Shape Retrieval. Eurographics Workshop on 3D Object Retrieval, 2017 Craciun D, Levieux G, Montes M. Shape Similarity System driven by Digital Elevation Models for Non-Rigid Shape Retrieval. Eurographics Workshop on 3D Object Retrieval, 2017

Matthieu Montes is Professor of bioinformatics and head of the molecular modeling and drug design team of the GBCM lab at Conservatoire National des Arts et Métiers, Paris, France.He holds a MSc in biochemistry and bioinformatics from Paris Diderot University, a PhD in pharmaceutical sciences from Paris Descartes University and a habilitation in structural biochemistry from Paris Sud University. His research interests includes molecular modeling, drug discovery and design, interactive simulation methods and computational geometry. Since 2014 he is a fellow of the European Research Council and coordinator of the ViDOCK project. 

Selected publications:
Craciun D, Levieux G, Montes M. Shape Similarity System driven by Digital Elevation Models for Non-Rigid Shape Retrieval. Eurographics Workshop on 3D Object Retrieval, 2017
Empereur-Mot C, Guillemain H, Latouche A, Zagury JF, Viallon V, Montes M. Predictiveness curves in virtual screening. J Cheminform 2015, 7:52
Levieux G, Tiger G, Natkin S, Zagury JF, Montes M. FD169: UDock, the protein docking entertainment system. Faraday Discuss. 2014, 169 (1): 425-441
Ben Nasr N*, Guillemain H*, Lagarde N*, Zagury JF, Montes M. Multiple structures for Virtual Ligand Screening: defining binding site properties-based criteria to optimize the selection of the query. J Chem Inf Model. 2013 Feb 25; 53(2):293-311