CNRS Laboratory of Computational and Quantitative Biology

Paris, France

CNRS Laboratory of Computational and Quantitative Biology

Paris, France
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Ripoche H.,CNRS Laboratory of Computational and Quantitative Biology | Laine E.,CNRS Laboratory of Computational and Quantitative Biology | Ceres N.,University of Lyon | Carbone A.,CNRS Laboratory of Computational and Quantitative Biology | Carbone A.,Institut Universitaire de France
Nucleic Acids Research | Year: 2017

The database JET2 Viewer, openly accessible at, reports putative protein binding sites for all three-dimensional (3D) structures available in the Protein Data Bank (PDB). This knowledge base was generated by applying the computational method JET2 at large-scale on more than 20 000 chains. JET2 strategy yields very precise predictions of interacting surfaces and unravels their evolutionary process and complexity. JET2 Viewer provides an online intelligent display, including interactive 3D visualization of the binding sites mapped onto PDB structures and suitable files recording JET2 analyses. Predictions were evaluated on more than 15 000 experimentally characterized protein interfaces. This is, to our knowledge, the largest evaluation of a protein binding site prediction method. The overall performance of JET2 on all interfaces are: Sen = 52.52, PPV = 51.24, Spe = 80.05, Acc = 75.89. The data can be used to foster new strategies for protein-protein interactions modulation and interaction surface redesign. © The Author(s) 2016.

De Lazzari E.,CNRS Laboratory of Computational and Quantitative Biology | Grilli J.,University of Chicago | Maslov S.,University of Illinois at Urbana - Champaign | Lagomarsino M.C.,CNRS Laboratory of Computational and Quantitative Biology | Lagomarsino M.C.,FIRC Institute of Molecular Oncology IFOM
Nucleic Acids Research | Year: 2017

Among several quantitative invariants found in evolutionary genomics, one of the most striking is the scaling of the overall abundance of proteins, or protein domains, sharing a specific functional annotation across genomes of given size. The size of these functional categories change, on average, as power-laws in the total number of protein-coding genes. Here, we show that such regularities are not restricted to the overall behavior of high-level functional categories, but also exist systematically at the level of single evolutionary families of protein domains. Specifically, the number of proteins within each family follows family-specific scaling laws with genome size. Functionally similar sets of families tend to follow similar scaling laws, but this is not always the case. To understand this systematically, we provide a comprehensive classification of families based on their scaling properties. Additionally, we develop a quantitative score for the heterogeneity of the scaling of families belonging to a given category or predefined group. Under the common reasonable assumption that selection is driven solely or mainly by biological function, these findings point to fine-tuned and interdependent functional roles of specific protein domains, beyond our current functional annotations. This analysis provides a deeper view on the links between evolutionary expansion of protein families and the functional constraints shaping the gene repertoire of bacterial genomes. © 2017 The Author(s).

Grilli J.,University of Milan | Bassetti B.,University of Milan | Bassetti B.,National Institute of Nuclear Physics, Italy | Maslov S.,Brookhaven National Laboratory | And 2 more authors.
Nucleic Acids Research | Year: 2012

We propose and study a class-expansioninnovationloss model of genome evolution taking into account biological roles of genes and their constituent domains. In our model, numbers of genes in different functional categories are coupled to each other. For example, an increase in the number of metabolic enzymes in a genome is usually accompanied by addition of new transcription factors regulating these enzymes. Such coupling can be thought of as a proportional 'recipe' for genome composition of the type 'a spoonful of sugar for each egg yolk'. The model jointly reproduces two known empirical laws: the distribution of family sizes and the non-linear scaling of the number of genes in certain functional categories (e.g. transcription factors) with genome size. In addition, it allows us to derive a novel relation between the exponents characterizing these two scaling laws, establishing a direct quantitative connection between evolutionary and functional categories. It predicts that functional categories that grow faster-than-linearly with genome size to be characterized by flatter-than-average family size distributions. This relation is confirmed by our bioinformatics analysis of prokaryotic genomes. This proves that the joint quantitative trends of functional and evolutionary classes can be understood in terms of evolutionary growth with proportional recipes. © The Author(s) 2011. Published by Oxford University Press.

Muller P.,University Paris - Sud | Bouly J.-P.,CNRS Laboratory of Computational and Quantitative Biology
FEBS Letters | Year: 2015

Even though the plant photoreceptors cryptochromes were discovered more than 20 years ago, the mechanism through which they transduce light signals to their partner molecules such as COP1 (Constitutive Photomorphogenic 1) or SPA1 (Suppressor of Phytochrome A) still remains to be established. We propose that a negative charge induced by light in the vicinity of the flavin chromophore initiates cryptochrome 1 signalling. This negative charge might expel the protein-bound ATP from the binding pocket, thereby pushing off the C-terminus that covers the ATP pocket in the dark state of the protein. This conformational change should allow for phosphorylation of previously inaccessible amino acids. A partially phosphorylated 'ESSSSGRR-VPE' fragment of the C-terminus could mimic the sequence of the transcription factor HY5 that is essential for binding to the negative regulator of photomorphogenesis COP1. HY5 release through competition for the COP1 binding site could represent the long-sought connection between light activation of cryptochrome and modulation of photomorphogenesis. © 2014 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.

Bruot N.,University of Cambridge | Damet L.,University of Cambridge | Kotar J.,University of Cambridge | Cicuta P.,University of Cambridge | And 2 more authors.
Physical Review Letters | Year: 2011

A two-state oscillator in a viscous liquid is composed of a micron-scale particle whose intrinsic dynamics is defined by linear potentials that undergo configuration-coupled transitions and is externally driven by a piecewise constant periodic force of varying amplitude and frequency. This elementary example of "active matter" has the minimal elements that allow us to study synchronization in the presence of thermal fluctuations. Experiments reveal the presence of synchronized states (and Arnol'd tongues), which we explain using analytical and numerical calculations. The system maintains synchronization by adjusting the phase between the bead and the clock. We discuss the relevance of this model to synchronization in real-world systems, including the role of thermal noise. © 2011 American Physical Society.

Benza V.G.,University of Insubria | Bassetti B.,University of Milan | Dorfman K.D.,University of Minnesota | Scolari V.F.,CNRS Laboratory of Computational and Quantitative Biology | And 6 more authors.
Reports on Progress in Physics | Year: 2012

Recent experimental and theoretical approaches have attempted to quantify the physical organization (compaction and geometry) of the bacterial chromosome with its complement of proteins (the nucleoid). The genomic DNA exists in a complex and dynamic protein-rich state, which is highly organized at various length scales. This has implications for modulating (when not directly enabling) the core biological processes of replication, transcription and segregation. We overview the progress in this area, driven in the last few years by new scientific ideas and new interdisciplinary experimental techniques, ranging from high space- and time-resolution microscopy to high-throughput genomics employing sequencing to map different aspects of the nucleoid-related interactome. The aim of this review is to present the wide spectrum of experimental and theoretical findings coherently, from a physics viewpoint. In particular, we highlight the role that statistical and soft condensed matter physics play in describing this system of fundamental biological importance, specifically reviewing classic and more modern tools from the theory of polymers. We also discuss some attempts toward unifying interpretations of the current results, pointing to possible directions for future investigation. © 2012 IOP Publishing Ltd.

Bruot N.,University of Cambridge | Kotar J.,University of Cambridge | De Lillo F.,University of Turin | De Lillo F.,University of Genoa | And 4 more authors.
Physical Review Letters | Year: 2012

Motile cilia are highly conserved structures in the evolution of organisms, generating the transport of fluid by periodic beating, through remarkably organized behavior in space and time. It is not known how these spatiotemporal patterns emerge and what sets their properties. Individual cilia are nonequilibrium systems with many degrees of freedom. However, their description can be represented by simpler effective force laws that drive oscillations, and paralleled with nonlinear phase oscillators studied in physics. Here a synthetic model of two phase oscillators, where colloidal particles are driven by optical traps, proves the role of the average force profile in establishing the type and strength of synchronization. We find that highly curved potentials are required for synchronization in the presence of noise. The applicability of this approach to biological data is also illustrated by successfully mapping the behavior of cilia in the alga Chlamydomonas onto the coarse-grained model. © 2012 American Physical Society.

Chen G.,Stowers Institute for Medical Research | Chen G.,University of Kansas Medical Center | Mulla W.A.,Stowers Institute for Medical Research | Mulla W.A.,University of Kansas Medical Center | And 13 more authors.
Cell | Year: 2015

Aneuploid genomes, characterized by unbalanced chromosome stoichiometry (karyotype), are associated with cancer malignancy and drug resistance of pathogenic fungi. The phenotypic diversity resulting from karyotypic diversity endows the cell population with superior adaptability. We show here, using a combination of experimental data and a general stochastic model, that the degree of phenotypic variation, thus evolvability, escalates with the degree of overall growth suppression. Such scaling likely explains the challenge of treating aneuploidy diseases with a single stress-inducing agent. Instead, we propose the design of an "evolutionary trap" (ET) targeting both karyotypic diversity and fitness. This strategy entails a selective condition "channeling" a karyotypically divergent population into one with a predominant and predictably drugable karyotypic feature. We provide a proof-of-principle case in budding yeast and demonstrate the potential efficacy of this strategy toward aneuploidy-based azole resistance in Candida albicans. By analyzing existing pharmacogenomics data, we propose the potential design of an ET against glioblastoma. © 2015 Elsevier Inc.

Rotondo P.,University of Milan | Cosentino Lagomarsino M.,CNRS Laboratory of Computational and Quantitative Biology | Viola G.,Chalmers University of Technology | Viola G.,RWTH Aachen
Physical Review Letters | Year: 2015

Using an approach inspired from spin glasses, we show that the multimode disordered Dicke model is equivalent to a quantum Hopfield network. We propose variational ground states for the system at zero temperature, which we conjecture to be exact in the thermodynamic limit. These ground states contain the information on the disordered qubit-photon couplings. These results lead to two intriguing physical implications. First, once the qubit-photon couplings can be engineered, it should be possible to build scalable pattern-storing systems whose dynamics is governed by quantum laws. Second, we argue with an example of how such Dicke quantum simulators might be used as a solver of "hard" combinatorial optimization problems. © 2015 American Physical Society.

Arnone M.I.,Stazione Zoologica Anton Dohrn | Andrikou C.,University of Bergen | Annunziata R.,CNRS Laboratory of Computational and Quantitative Biology
Current Opinion in Genetics and Development | Year: 2016

One of the main challenges in Evolutionary Developmental Biology is to understand to which extent developmental changes are driven by regulatory alterations in the genomic sequence. In the recent years, the focus of comparative developmental studies has moved towards a systems biology approach providing a better understanding of the evolution of gene interactions that form the so called Gene Regulatory Networks (GRN). Echinoderms provide a powerful system to reveal regulatory mechanisms and within the past decade, due to the latest technological innovations, a great number of studies have provided valuable information for comparative GRN analyses. In this review we describe recent advances in evolution of GRNs arising from echinoderm systems, focusing on the properties of conserved regulatory kernels, circuit co-option events and GRN topological rearrangements. © 2016 Elsevier Ltd

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