The Laboratory of Computational and Quantitative Biology (LCQB), headed by A. Carbone, is an interdisciplinary laboratory working at the interface between biology and quantitative sciences. It is built to promote a balanced interaction of theoretical and experimental approaches in biology and to foster the definition of new experimental questions, data analysis and modeling of biological phenomena. Our projects address questions on biological structures and processes through the gathering of experimental measures, the in silico generation of new biological data that remain inaccessible to experiments today (modeling of biological systems), the development of statistical methods for data analysis, and the conception of original algorithms aimed to predictions. The lab is supported by the CNRS and Sorbonne Université.


June 16, 2022

The Laboratory of Computational and Quantitative Biology is searching for a new director who will take up his/her position on 01/01/2025. Please see the posting.

June 10, 2019

What can proteins tell us about how they interact and function together? At LCQB, we develop computational approaches to predict protein interactions, model protein social behaviour and infer the effect of mutations on protein interaction networks. We just posted this video explaining these ideas to the large public. 

Link to the french video

Link to the italian video

June 8, 2022

Phylogeny matters in residue coevolution! try your favorite protein with iBIS2Analyzer. It works for conserved proteins like viral ones. See our last article in Nucleic Acids Research.
See also the press release by Sorbonne Université (in french).

May 10, 2022

Two of our alumni, Vittore Scolari, PhD student at LCQB, and Riccardo Vicedomini, postdoc, have been recognized this year by the CNRS with two permanent researcher positions! In 2021, Edoardo Sarti, postdoc at LCQB, was offered a permanent researcher position at INRIA.

Congratulations to all!

May 9, 2022

See the new highlight on ActuIA for our work on protein functional classification.

April 12, 2022

A novel computational approach to explore and classify functional diversity in genomic sequences. See the new article appeared in Molecular Biology and Evolution from the Analytical Genomics team.

Read the press release at Sorbonne Université and the CNRS

February 21, 2022

The Île-de-France Region has defined its 9 new major areas of research and innovation for the next 5 years, in which €100M will be invested.

Among them:

► AI4IDF - Intelligence artificielle centrée sur l’humain en Île-de-France, lead by Inria - PIs: Isabelle Ryl
► BIOCONS - Bioconvergence pour la santé, lead by Université de Paris Cité - PIs: Amanda Sylva Brun and Ariel Lindner

The LCQB participates in both programs.

February 7, 2022

New coverage on DNA storage in the Canadian TV and France 24

January 14, 2022

Towards predicting new mutations in SARS-CoV-2: in the very early stages of an emerging viral outbreak, can we predict new mutations in the proteins of the virus which might lead to its future variants? The "Statistical Genomics and Biological Physics" team proposes a computational approach based on a single viral genome infecting humans and pre-existing viral genomes infecting other species.

For more information see:

January 14, 2022

Gene duplication is a major source of functional diversification. However, the co-existence of two paralogues with similar biochemical properties but diverging functions can lead to potentially detrimental competition between the duplicates. This phenomenon has been named “paralogue interference”. In a recent article published in "Frontiers in cellular infection and microbiology, the "genetics networks" team of LCQB has addressed this question in the human pathogen Candida glabrata. They showed that evolution selected mutations which decreased competition between two, potentially interfering, transcription factors, thus allowing the emergence of the particular modes of regulation for respiration and iron homeostasis observed in extent Saccharomycetaceae species.

Link to the article


Open Positions