Explore the words cloud of the VIDOCK project. It provides you a very rough idea of what is the project "VIDOCK" about.
The following table provides information about the project.
CONSERVATOIRE NATIONAL DES ARTS ET METIERS
|Coordinator Country||France [FR]|
|Total cost||1˙498˙791 €|
|EC max contribution||1˙498˙791 € (100%)|
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
|Duration (year-month-day)||from 2015-07-01 to 2021-06-30|
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|1||CONSERVATOIRE NATIONAL DES ARTS ET METIERS||FR (PARIS CEDEX 03)||coordinator||1˙498˙791.00|
The goals of structural biology include developing a comprehensive understanding of the molecular shapes and forms embraced by biological macromolecules and extending this knowledge to understand how different molecular architectures are used to perform the chemical reactions that are central to life. Since the first resolution of protein structures by X-ray crystallography and NMR, structural biology seeks to provide this picture of biological phenomena at the molecular and atomic level by analyzing 3D structures. In the present proposal, we propose to change this paradigm by changing the mode of representation of protein surfaces to 2D maps. That will open new avenues for 1. the development of innovative high-throughput computation of protein interactions and relationships and 2. the emergence of new forms of visualization and analysis of protein structures and properties. We will apply this powerful tool of conformal mapping to structural biology by representing protein surfaces that are complex 3D surfaces in 2D conformal maps that we will call positive conformal maps. We will extend this representation by also generating the 2D conformal maps of the negatives of the 3D surface of the proteins. These positive and negative 2D conformal maps of the surface of proteins will constitute a new representation of the protein surfaces that will be the basis for innovative high-throughput and/or interactive simulation methods, visualization methods and more generally that will give an other insight on the structure of proteins. The major impact of this proposal lies in the fact that it will at last open the gates of the long awaited proteome docking. Using a simplified representation of protein surfaces will allow to perform faster complete cross docking calculations and create a new classification of the protein structures based on their surficial similarity.
|year||authors and title||journal||last update|
Langenfeld, Florent; Axenopoulos, Apostolos; Benhabiles, Halim; Daras, Petros; Giachetti, Andrea; Han, Xusi; Hammoudi, Karim; Kihara, Daisuke; Lai, Tuan; Liu, Haiguang; Melkemi, Mahmoud; Mylonas, Stelios; Terashi, Genki; Wang, Yufan; Windal, Feryal; Montes, Matthieu
Protein Shape Retrieval Contest
published pages: , ISSN: , DOI: 10.2312/3dor.20191058
Bouchara, Tifanie,; Raigneau, ValÃ¨re; Montes, Matthieu
Sonification Immersive de la Surface de ProtÃ©inesProtÂ´ProtÃ©ines
published pages: , ISSN: , DOI:
|30eme confÃ©rence francophone sur l\'interaction homme-machine 1||2020-02-06|
Mapping the Future Of Drug Design
published pages: , ISSN: , DOI:
Langenfeld, Florent; Axenopoulos, Apostolos; Chatzitofis, Anargyros; Craciun, Daniela; Daras, Petros; Du, Bowen; Giachetti, Andrea; Lai, Yu-kun; Li, Haisheng; Li, Yingbin; Masoumi, Majid; Peng, Yuxu; Rosin, Paul; Sirugue, Jeremy; Sun, Li; Thermos, Spyridon; Toews, Matthew; Wei, Yang; Wu, Yujuan; Zhai, Yujia; Zhao, Tianyu; Zheng, Yanping; Montes, Matthieu
SHREC 2018 â€“ Protein Shape Retrieval
published pages: , ISSN: 1997-0463, DOI: 10.2312/3dor.20181053
|Eurographics Workshop on 3D Object Retrieval (2018) 53-61 1||2019-07-24|
Song, Na; Craciun, Daniela; Christoffer, Charles; Han, Xusi; Kihara, Daisuke; Levieux, Guillaume; Montes, Matthieu; Qin, Hong; Sahu, Pranjal; Terashi, Genki; Liu, Haiguang
SHREC\'17 Track: Protein Shape Retrieval
published pages: , ISSN: , DOI: 10.2312/3dor.20171055
Craciun, Daniela; Levieux, Guillaume; Montes, Matthieu
Shape Similarity System driven by Digital Elevation Models for Non-rigid Shape Retrieval
published pages: , ISSN: , DOI: 10.2312/3dor.20171051
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