You are here

Analytical Genomics

March 19, 2018

Several members of LCQB co-authored « Meet-U: educating through research immersion », which appeared in PLOS Computational Biology on 03/15/2018. Meet-U is a new educational initiative that aims to train students for collaborative work in computational biology and to bridge the gap between education and research. Meet-U mimics the setup of collaborative research projects and takes advantage of the most popular tools for collaborative work and of cloud computing. Students are grouped in teams of 4–5 people and have to realize a project from A to Z that answers a challenging question in biology. In this paper, we report on our experience with Meet-U in two French universities with master’s students in bioinformatics and modeling, and with protein–protein docking as the subject of the course.


To the Article

March 6, 2018

"A protein coevolution method uncovers critical features of the Hepatitis C Virus fusion mechanism" appeared in PLoS Pathogens, from A.Carbone team. This work sheds light on important structural features of the HCV fusion mechanism and contributes to advance our functional understanding of this process. This study also provides an important proof of concept that coevolution can be employed to explore viral protein mediated-processes, and can guide the development of innovative translational strategies against challenging human-tropic viruses.

To the Article

January 10, 2018

Elodie Laine of the Analytical Genomics team co-organized the Meet-U colloquium on the 10th of January 2018: Meet-U aims at bridging the gap between teaching and research in computational and quantitative biology. It brings together Sorbonne Université, Univ. Paris-Sud and Univ. Paris-Diderot.
The theme of this year was protein-protein docking: »

December 13, 2017

Alessandra Carbone and Elodie Laine are organizing the "UPMC Young Researchers' Meeting: Modeling Complex Biological Systems"

The talks on current work in computational biology at UPMC will be given by PhD students and Postdocs working at UPMC labs. It will be an opportunity to listen at ongoing research and learn what is done in close by departments.

The up to date program is available here

October 12, 2017

F.Nadalin and A.Carbone published CIPS, a new computational method for scoring protein docking decoys based on a combination of residue-residue contact preferences and interface compositional bias. CIPS outperforms state-of-the-art methods on screening protein-protein docking models and improves the ranking on 28 CAPRI targets. The drastic reduction of candidate solutions produced by thousands of proteins docked against each other makes large-scale docking accessible to analysis.

To the Software
To the Article

September 13, 2017

We highlight our new database Plasmobase to the community working in malaria with a new blog appeared in

June 5, 2017

Elodie Laine and Alessandra Carbone organize the mini-symposium « Formal methods in the eyes of biological data » the 5th of June in Ronce-les-Bains. The symposium will highlight recent mathematical developments toward elucidating biological questions or modeling complex biological systems. It will illustrate the cross-talk between formal methods and biological data. The symposium is hosted by the SMAI congress ( and sponsored by the GDR BIM (

June 2, 2017

Plasmobase is a unique database designed for the comparative study of 11 Plasmodium genomes. Plasmobase proposes new domain architectures as well as new domain families that have never been reported before for these genomes. It allows for an easy comparison among architectures within Plasmodium species and with other species, described in UniProt. Joint work of J.Bernardes and A.Carbone.

To the article

June 2, 2017

BIS2Analyzer is a webserver providing the online analysis of coevolving amino-acid pairs in protein alignments, especially designed for vertebrate and viral protein families, which typically display a small number of highly similar sequences. (A.Carbone team) 

To the article

February 16, 2017

World Community Grid (WCG - IBM) posts a news on our new article appeared in Proteins exploring a fundamental principle of protein sociability.This work used data obtained in the first phase of our project "Help Cure Muscular Dystrophy Project" with WCG. This work is part of the MAPPING project (Investissement d'Avenir en Bioinformatique).

To the Article in WCG
To the Article in Proteins


Subscribe to Analytical Genomics

Open Positions