Livrables Documents, reports (10) New inference techniques. Maximum inter-alignment matching [Month 24] Development of novel inference techniques including prior knowledge as input to T2.1b. Study of the maximum inter-alignment matching of families with paralogs.. Message-passing method for sampling high-dimensional polytopes including prior knowledge. RepSeq database [Month 24] Publication of the curated datasets (T3.1) on the project-portal. Functional modules Month 58 Results for longrange effects and predictions on functional modules in the human posttranscriptional regulatory and signaling network Integrated regulatory networks for specific cell types Gold Standard Database. Deployment of algorithmic pipeline [Month 24]. “Gold-Standard”: a list of multi-domain interacting proteins of known structure. Contact maps at different cutoffs will be available, together with the list of sequences in Pfam and Uniprot, and proposed seeds for the MSAs. Deployment of the algorithmic pipeline for maximizing the inter-alignment information developed as D1.2 Reconstruction of regulatory and signaling networks [Month 24]: Algorithm for the efficient reconstruction/inference of regulatory networks integrating transcriptional and post-transcriptional data bases, expression data bases, sigalling networks and data bases for validated interactions. Prediction highly neutralizing antibodies. Experimental validation Month 40 Rational prediction o biomolecules from model inference Wetlab validation of the biomolecule phenotypes Integrative analysis of gene expression and cancer metabolism [Month 24]: Algorithm for the efficient analysis of metabolism and gene expression at genome scale and in tissue. Bacterial core interactome based on proximity. Full bacterial interactome Month 40 First predictions of the coevolutionary inferred Bacterial Core interactome based on operon based proximity Integration of T23 for predicting the whole bacterial interactome Improved inference for graphical models Month 36 Improved inference strategies for analyzing graphical models Predictors of cell responses. Protocol of experimental design in-tissue experiments Month 58 Analysis of different predictors of cellular responses to changes in the levels of key enzymes andor uptake systems relevant for proliferative regimes specifically for bacteria or cancer cells Other (5) Progress report 1 [month 12] Progress Report 1 International Workshop - Habana [month 24] International Workshop – Habana Data management Plan (DMP) [month 6 - revised version months 24, 48] Data Management Plan (DMP). INFERNET website [month 3] INFERNET website International School - Paris [month 16] International School – Paris. Publications Peer reviewed articles (62) A density consistency approach to the inverse Ising problem Auteurs: Alfredo Braunstein; Giovanni Catania; Luca Dall'Asta; Luca Dall'Asta; Anna Paola Muntoni Publié dans: Journal of Statistical Mechanics: Theory and Experiment, Issue 26, 2021, ISSN 1742-5468 Éditeur: Institute of Physics DOI: 10.48550/arxiv.2010.13746 Epistatic models predict mutable sites in SARS-CoV-2 proteins and epitopes Auteurs: Juan Rodriguez-Rivas, Giancarlo Croce, Maureen Muscat, Martin Weigt Publié dans: PNAS, 2022, ISSN 0027-8424 Éditeur: National Academy of Sciences DOI: 10.1073/pnas.2113118119 Inference of metabolic fluxes in nutrient-limited continuous cultures: A Maximum Entropy approach with the minimum information Auteurs: Jose A. Pereiro-Morejón; Jorge Fernández-de-Cossio-Díaz; R. Mulet; Publié dans: iScience, 2022, ISSN 2589-0042 Éditeur: CellPress DOI: 10.1016/j.isci.2022.105450 Contamination source detection in water distribution networks using belief propagation Auteurs: Ernesto Ortega; Alfredo Braunstein; Alfredo Braunstein; Alejandro Lage-Castellanos Publié dans: Stochastic Environmental Research and Risk Assessment, Issue 29, 2020, ISSN 1436-3240 Éditeur: Springer Verlag DOI: 10.48550/arxiv.1809.10626 Stochastic and parameter analysis for an integrative cancer model Auteurs: Marcela V. Reale; David Hipólito Margarit; Ariel F. Scagliotti; Lilia M. Romanelli Publié dans: Physica Scripta, Issue 10, 2022, ISSN 0031-8949 Éditeur: Royal Swedish Academy of Sciences DOI: 10.1088/1402-4896/aca566 Statistical mechanics of interacting metabolic networks. Auteurs: Jorge Fernandez-de-Cossio-Diaz; Jorge Fernandez-de-Cossio-Diaz; Roberto Mulet Publié dans: Physical Review E, Issue 21, 2020, ISSN 1539-3755 Éditeur: American Physical Society DOI: 10.1103/physreve.101.042401 Expectation propagation on the diluted Bayesian classifier. Auteurs: Alfredo Braunstein; Alfredo Braunstein; Thomas Gueudré; Andrea Pagnani; Andrea Pagnani; Mirko Pieropan Publié dans: Physical Review E, Issue 39, 2021, ISSN 1539-3755 Éditeur: American Physical Society DOI: 10.1103/physreve.103.043301 Path-integral solution of MacArthur’s resource-competition model for large ecosystems with random species-resources couplings Auteurs: A. R. Batista-Tomás; Andrea De Martino; Roberto Mulet Publié dans: Chaos, 2021, ISSN 1054-1500 Éditeur: American Institute of Physics DOI: 10.1063/5.0046972 Sparse generative modeling via parameter reduction of Boltzmann machines: Application to protein-sequence families. Auteurs: Pierre Barrat-Charlaix; Anna Paola Muntoni; Kai Shimagaki; Martin Weigt; Francesco Zamponi Publié dans: Physical Review E, Issue 5, 2021, ISSN 1539-3755 Éditeur: American Physical Society DOI: 10.48550/arxiv.2011.11259 Efficient generative modeling of protein sequences using simple autoregressive models Auteurs: Jeanne Trinquier; Jeanne Trinquier; Guido Uguzzoni; Andrea Pagnani; Francesco Zamponi; Martin Weigt Publié dans: Nature Communications, Issue 11, 2022, Page(s) 2021, ISSN 2041-1723 Éditeur: Nature Publishing Group DOI: 10.48550/arxiv.2103.03292 Global multivariate model learning from hierarchically correlated data Auteurs: Edwin Rodriguez Horta; Alejandro Lage-Castellanos; Martin Weigt; Pierre Barrat-Charlaix Publié dans: Journal of Statistical Mechanics: Theory and Experiment, Issue 29, 2021, ISSN 1742-5468 Éditeur: Institute of Physics DOI: 10.1088/1742-5468/ac06c2 The cavity master equation: average and fixed point of the ferromagnetic model in random graphs Auteurs: Eduardo Domínguez; David Machado; Roberto Mulet Publié dans: Journal of Statistical Mechanics: Theory and Experiment, Issue 6, 2020, ISSN 1742-5468 Éditeur: Institute of Physics DOI: 10.48550/arxiv.2004.03674 FilterDCA: Interpretable supervised contact prediction using inter-domain coevolution Auteurs: Maureen Muscat, Giancarlo Croce, Edoardo Sarti, Martin Weigt Publié dans: Plos Computational Biology, 2020, ISSN 1553-734X Éditeur: Public Library of Science DOI: 10.1371/journal.pcbi.1007621 Loop Corrections in Spin Models through Density Consistency. Auteurs: Alfredo Braunstein; Alfredo Braunstein; Giovanni Catania; Luca Dall'Asta; Luca Dall'Asta Publié dans: Physical Review Letters, Issue 15, 2019, ISSN 0031-9007 Éditeur: American Physical Society DOI: 10.48550/arxiv.1810.10602 Evolution-based design of chorismate mutase enzymes Auteurs: William P. Russ; Matteo Figliuzzi; Christian Stocker; Pierre Barrat-Charlaix; Michael Socolich; Pater Kast; Donald Hilvert; Rémi Monasson; Simona Cocco; Martin Weigt; Rama Ranganathan Publié dans: Science, Issue 20, 2020, ISSN 0036-8075 Éditeur: American Association for the Advancement of Science DOI: 10.1101/2020.04.01.020487 Analysis of cell proliferation and tissue remodelling uncovers a KLF4 activity score associated with poor prognosis in colorectal cancer Auteurs: Silvia Halim; Elke Markert; Alexei Vazquez Publié dans: British Journal of Cancer, Issue 5, 2018, ISSN 0007-0920 Éditeur: Nature Publishing Group DOI: 10.1038/s41416-018-0253-0 An integrative model of cancer cell differentiation with immunotherapy* Auteurs: David H Margarit; Nadia S González; Lilia M Romanelli; Alejandro J Fendrik; Ariel F Scagliotti; Marcela V Reale Publié dans: Biophysical Journal, 2021, ISSN 1478-3967 Éditeur: Institute of Physics Publishing DOI: 10.1088/1478-3975/ac2e72 Ancestral Sequence Reconstruction for Co-evolutionary models Auteurs: Rodríguez-Horta, Edwin; Lage-Castellanos, Alejandro; Mulet, Roberto Publié dans: Journal of Statistical Mechanics: Theory and Experiment, Issue 9, 2022, ISSN 1742-5468 Éditeur: Institute of Physics DOI: 10.48550/arxiv.2108.03801 Unsupervised Inference of Protein Fitness Landscape from Deep Mutational Scan Auteurs: Jorge Fernandez-de-Cossio-Diaz; Guido Uguzzoni; Andrea Pagnani Publié dans: Molecular Biology and Evolution, 2020, ISSN 0737-4038 Éditeur: Oxford University Press DOI: 10.1093/molbev/msaa204 Initial cell density encodes proliferative potential in cancer cell populations Auteurs: Chiara Enrico Bena; Marco Del Giudice; Alice Grob; Thomas Gueudré; Mattia Miotto; Dimitra Gialama; Matteo Osella; Emilia Turco; Francesca Ceroni; Andrea De Martino; Carla Bosia Publié dans: Scientific Reports, Issue 5, 2021, ISSN 2045-2322 Éditeur: Nature Publishing Group DOI: 10.1038/s41598-021-85406-z AMaLa: Analysis of Directed Evolution Experiments via Annealed Mutational Approximated Landscape Auteurs: Luca Sesta; Guido Uguzzoni; Jorge Fernandez-de-Cossio-Diaz; Andrea Pagnani Publié dans: International Journal of Molecular Sciences, Issue 20, 2021, ISSN 1422-0067 Éditeur: Multidisciplinary Digital Publishing Institute (MDPI) DOI: 10.3390/ijms222010908 Network reconstruction from infection cascades Auteurs: Alfredo Braunstein; Alessandro Ingrosso; Anna Paola Muntoni; Anna Paola Muntoni; Anna Paola Muntoni Publié dans: Journal of the Royal Society Interface, Issue 9, 2019, ISSN 1742-5689 Éditeur: The Royal Society DOI: 10.48550/arxiv.1609.00432 adabmDCA: adaptive Boltzmann machine learning for biological sequences. Auteurs: Anna Paola Muntoni; Andrea Pagnani; Martin Weigt; Francesco Zamponi Publié dans: BMC Bioinformatics, Issue 11, 2021, ISSN 1471-2105 Éditeur: BioMed Central DOI: 10.1186/s12859-021-04441-9 Exploration-exploitation tradeoffs dictate the optimal distributions of phenotypes for populations subject to fitness fluctuations. Auteurs: "De Martino, Andrea; Gueudré , Thomas; Miotto, Mattia" Publié dans: Physical Review E, Issue 21, 2019, ISSN 1539-3755 Éditeur: American Physical Society DOI: 10.48550/arxiv.1809.11030 Stochastic cell renewal process and lengthening of cell cycle Auteurs: Alejandro Fendrik; Lilia Romanelli; Ernesto Rotondo Publié dans: Physical Biology, 2019, ISSN 1478-3967 Éditeur: Institute of Physics Publishing DOI: 10.1088/1478-3975/ab576c Limits of aerobic metabolism in cancer cells Auteurs: Jorge Fernandez-de-Cossio-Diaz, Alexei Vazquez Publié dans: Scientific Reports, Issue 7/1, 2017, ISSN 2045-2322 Éditeur: Nature Publishing Group DOI: 10.1038/s41598-017-14071-y Characterizing steady states of genome-scale metabolic networks in continuous cell cultures Auteurs: Jorge Fernandez-de-Cossio-Diaz, Kalet Leon, Roberto Mulet Publié dans: PLOS Computational Biology, Issue 13/11, 2017, Page(s) e1005835, ISSN 1553-7358 Éditeur: Jorge Fernandez-de-Cossio-Diaz DOI: 10.1371/journal.pcbi.1005835 Exploring the diluted ferromagnetic p-spin model with a Cavity Master Equation Auteurs: Aurell, Erik; Domínguez, Eduardo; Machado, David; Mulet, Roberto Publié dans: Physical Review E, Issue 1, 2018, ISSN 2470-0053 Éditeur: Roberto Mulet DOI: 10.1103/PhysRevE.97.050103 Independent channels for miRNA biosynthesis ensure efficient static and dynamic control in the regulation of the early stages of myogenesis Auteurs: Jonathan Fiorentino, Andrea De Martino Publié dans: Journal of Theoretical Biology, Issue 430, 2017, Page(s) 53-63, ISSN 0022-5193 Éditeur: Academic Press DOI: 10.1016/j.jtbi.2017.06.038 Somatic mutagenesis in satellite cells associates with human skeletal muscle aging Auteurs: Irene Franco, Anna Johansson, Karl Olsson, Peter Vrtačnik, Pär Lundin, Hafdis T. Helgadottir, Malin Larsson, Gwladys Revêchon, Carla Bosia, Andrea Pagnani, Paolo Provero, Thomas Gustafsson, Helene Fischer, Maria Eriksson Publié dans: Nature Communications, Issue 9/1, 2018, ISSN 2041-1723 Éditeur: Nature Publishing Group DOI: 10.1038/s41467-018-03244-6 Inter-residue, inter-protein and inter-family coevolution: bridging the scales Auteurs: Hendrik Szurmant, Martin Weigt Publié dans: Current Opinion in Structural Biology, Issue 50, 2018, Page(s) 26-32, ISSN 0959-440X Éditeur: Elsevier BV DOI: 10.1016/j.sbi.2017.10.014 Microenvironmental cooperation promotes early spread and bistability of a Warburg-like phenotype Auteurs: Jorge Fernandez-de-Cossio-Diaz, Andrea De Martino, Roberto Mulet Publié dans: Scientific Reports, Issue 7/1, 2017, ISSN 2045-2322 Éditeur: Nature Publishing Group DOI: 10.1038/s41598-017-03342-3 How Pairwise Coevolutionary Models Capture the Collective Residue Variability in Proteins? Auteurs: Matteo Figliuzzi, Pierre Barrat-Charlaix, Martin Weigt Publié dans: Molecular Biology and Evolution, Issue 35/4, 2018, Page(s) 1018-1027, ISSN 0737-4038 Éditeur: Oxford University Press DOI: 10.1093/molbev/msy007 Translating ceRNA Susceptibilities into Correlation Functions Auteurs: Araks Martirosyan, Matteo Marsili, Andrea De Martino Publié dans: Biophysical Journal, Issue 113/1, 2017, Page(s) 206-213, ISSN 0006-3495 Éditeur: Biophysical Society DOI: 10.1016/j.bpj.2017.05.042 A physical model of cell metabolism Auteurs: Jorge Fernandez-de-Cossio-Diaz, Alexei Vazquez Publié dans: Scientific Reports, Issue 8/1, 2018, ISSN 2045-2322 Éditeur: Nature Publishing Group DOI: 10.1038/s41598-018-26724-7 An introduction to the maximum entropy approach and its application to inference problems in biology Auteurs: Andrea De Martino, Daniele De Martino Publié dans: Heliyon, Issue 4/4, 2018, Page(s) e00596, ISSN 2405-8440 Éditeur: Helyon DOI: 10.1016/j.heliyon.2018.e00596 Maximum entropy and population heterogeneity in continuous cell cultures Auteurs: Jorge Fernandez-de-Cossio-Diaz, Roberto Mulet Publié dans: PLOS Computational Biology, Issue 15/2, 2019, Page(s) e1006823, ISSN 1553-7358 Éditeur: Public Library of Science DOI: 10.1371/journal.pcbi.1006823 The intrinsic dimension of protein sequence evolution Auteurs: Elena Facco, Andrea Pagnani, Elena Tea Russo, Alessandro Laio Publié dans: PLOS Computational Biology, Issue 15/4, 2019, Page(s) e1006767, ISSN 1553-7358 Éditeur: The Public Library of Science DOI: 10.1371/journal.pcbi.1006767 Compressed sensing reconstruction using Expectation Propagation Auteurs: Alfredo Braunstein, Anna Paola Muntoni, Andrea Pagnani, Mirko Pieropan Publié dans: Journal of Physics A: Mathematical and Theoretical, 2019, ISSN 1751-8113 Éditeur: Institute of Physics Publishing DOI: 10.1088/1751-8121/ab3065 A multi-scale coevolutionary approach to predict interactions between protein domains Auteurs: Giancarlo Croce, Thomas Gueudré, Maria Virginia Ruiz Cuevas, Victoria Keidel, Matteo Figliuzzi, Hendrik Szurmant, Martin Weigt Publié dans: PLOS Computational Biology, Issue 15/10, 2019, Page(s) e1006891, ISSN 1553-7358 Éditeur: Public Library of Science DOI: 10.1371/journal.pcbi.1006891 A common root for coevolution and substitution rate variability in protein sequence evolution Auteurs: Francesca Rizzato, Stefano Zamuner, Andrea Pagnani, Alessandro Laio Publié dans: Scientific Reports, Issue 9/1, 2019, ISSN 2045-2322 Éditeur: Nature Publishing Group DOI: 10.1038/s41598-019-53958-w Theory of Nonequilibrium Local Search on Random Satisfaction Problems Auteurs: Erik Aurell, Eduardo Domínguez, David Machado, Roberto Mulet Publié dans: Physical Review Letters, Issue 123/23, 2019, ISSN 0031-9007 Éditeur: American Physical Society DOI: 10.1103/physrevlett.123.230602 Nonconvex image reconstruction via expectation propagation Auteurs: Anna Paola Muntoni, Rafael Díaz Hernández Rojas, Alfredo Braunstein, Andrea Pagnani, Isaac Pérez Castillo Publié dans: Physical Review E, Issue 100/3, 2019, ISSN 2470-0045 Éditeur: APS DOI: 10.1103/PhysRevE.100.032134 Selection of sequence motifs and generative Hopfield-Potts models for protein families Auteurs: Kai Shimagaki, Martin Weigt Publié dans: Physical Review E, Issue 100/3, 2019, ISSN 2470-0045 Éditeur: APS DOI: 10.1103/PhysRevE.100.032128 Phylogenetic correlations can suffice to infer protein partners from sequences Auteurs: Guillaume Marmier, Martin Weigt, Anne-Florence Bitbol Publié dans: PLOS Computational Biology, Issue 15/10, 2019, Page(s) e1007179, ISSN 1553-7358 Éditeur: Public Library of Science DOI: 10.1371/journal.pcbi.1007179 Modeling functional resting-state brain networks through neural message passing on the human connectome Auteurs: Julio A. Peraza-Goicolea, Eduardo Martínez-Montes, Eduardo Aubert, Pedro A. Valdés-Hernández, Roberto Mulet Publié dans: Neural Networks, Issue 123, 2020, Page(s) 52-69, ISSN 0893-6080 Éditeur: Pergamon Press Ltd. DOI: 10.1016/j.neunet.2019.11.014 Loop Corrections in Spin Models through Density Consistency Auteurs: Alfredo Braunstein, Giovanni Catania, Luca Dall’Asta Publié dans: Physical Review Letters, Issue 123/2, 2019, ISSN 0031-9007 Éditeur: American Physical Society DOI: 10.1103/PhysRevLett.123.020604 Cell population heterogeneity driven by stochastic partition and growth optimality Auteurs: Jorge Fernandez-de-Cossio-Diaz, Roberto Mulet, Alexei Vazquez Publié dans: Scientific Reports, Issue 9/1, 2019, ISSN 2045-2322 Éditeur: Nature Publishing Group DOI: 10.1038/s41598-019-45882-w Toward Inferring Potts Models for Phylogenetically Correlated Sequence Data Auteurs: Edwin Rodriguez Horta, Pierre Barrat-Charlaix, Martin Weigt Publié dans: Entropy, Issue 21/11, 2019, Page(s) 1090, ISSN 1099-4300 Éditeur: Multidisciplinary Digital Publishing Institute (MDPI) DOI: 10.3390/e21111090 Competing endogenous RNA crosstalk at system level Auteurs: Mattia Miotto, Enzo Marinari, Andrea De Martino Publié dans: PLOS Computational Biology, Issue 15/11, 2019, Page(s) e1007474, ISSN 1553-7358 Éditeur: Public Library of Science DOI: 10.1371/journal.pcbi.1007474 A yield-cost tradeoff governs Escherichia coli’s decision between fermentation and respiration in carbon-limited growth Auteurs: Matteo Mori, Enzo Marinari, Andrea De Martino Publié dans: npj Systems Biology and Applications, Issue 5/1, 2019, ISSN 2056-7189 Éditeur: Nature Publishing Group DOI: 10.1038/s41540-019-0093-4 Formate Induces a Metabolic Switch in Nucleotide and Energy Metabolism Auteurs: Kristell Oizel, Jacqueline Tait-Mulder, Jorge Fernandez-de-Cossio-Diaz, Matthias Pietzke, Holly Brunton, Sandeep Dhayade, Dimitris Athineos, Sergio Lilla, Giovanny Rodriguez Blanco, David Sumpton, Gillian Mackay, Karen Blyth, Sara Zanivan, Johannes Meiser, Alexei Vazquez Publié dans: SSRN Electronic Journal, 2019, ISSN 1556-5068 Éditeur: Cell Press DOI: 10.2139/ssrn.3456295 A yield-cost tradeoff governs Escherichia coli's decision between fermentation and respiration in carbon-limited growth Auteurs: Matteo Mori; Enzo Marinari; Andrea De Martino Publié dans: NPJ Systems Biology and Applications, Issue 30, 2019, ISSN 2056-7189 Éditeur: Springer Nature DOI: 10.1101/113183 Ancestral sequence reconstruction for co-evolutionary models Auteurs: E Rodríguez-Horta; A Lage-Castellanos; R Mulet Publié dans: Journal of Statistical Mechanics: Theory and Experiment, 2021, ISSN 1742-5468 Éditeur: Institute of Physics DOI: 10.1088/1742-5468/ac3d93 Relationship between fitness and heterogeneity in exponentially growing microbial populations Auteurs: Anna Paola Muntoni; Alfredo Braunstein; Andrea Pagnani; Daniele De Martino; Andrea De Martino Publié dans: Biophysical Journal, Issue 1, 2022, ISSN 0006-3495 Éditeur: Biophysical Society DOI: 10.48550/arxiv.2104.02594 Statistical physics of interacting proteins: impact of dataset size and quality assessed in synthetic sequences Auteurs: Carlos A. Gandarilla-Pérez; Carlos A. Gandarilla-Pérez; Pierre Mergny; Martin Weigt; Anne-Florence Bitbol; Anne-Florence Bitbol Publié dans: Physical Review E, Issue 18, 2020, ISSN 1539-3755 Éditeur: American Physical Society DOI: 10.1101/2019.12.23.887307 Optimizing the Dilution Protocol in Continuous Cell Cultures Auteurs: Barbara Ariane Perez Fernandez; Roberto Mulet Publié dans: Revista Cubana de Fisica, 2021, ISSN 2224-7939 Éditeur: Sociedad Cubana de Fisica Aligning biological sequences by exploiting residue conservation and coevolution. Auteurs: Anna Paola Muntoni; Anna Paola Muntoni; Anna Paola Muntoni; Andrea Pagnani; Martin Weigt; Francesco Zamponi Publié dans: Physical Review E, Issue 15, 2020, ISSN 1539-3755 Éditeur: American Physical Society DOI: 10.48550/arxiv.2005.08500 Probing Single-Cell Fermentation Fluxes and Exchange Networks via pH-Sensing Hybrid Nanofibers Auteurs: Valentina Onesto, Stefania Forciniti, Francesco Alemanno, Krishnadev Narayanankutty Krishnadev Narayanankutty Biofisika Institutua (UPV/EHU, CSIC) and Fundación Biofísica Bizkaia, LeioaE-48940, Spain More by Krishnadev Narayanankutty Orcidhttps://orcid.org/0000-0001-7705-3213 , Anil Chandra, Saumya Prasad, Amalia Azzariti, Giuseppe Gigli, Adriano Barra, Andrea De Martino, Daniele De Martino, Lor Publié dans: ACS Nano, 2022, ISSN 1936-0851 Éditeur: American Chemical Society DOI: 10.1021/acsnano.2c06114 MicroRNAs organize intrinsic variation into stem cell states Auteurs: Meenakshi Chakraborty; Meenakshi Chakraborty; Sofia Hu; Erica Visness; Marco Del Giudice; Andrea De Martino; Carla Bosia; Phillip A. Sharp; Salil Garg; Salil Garg Publié dans: PNAS, Issue 33, 2020, ISSN 0027-8424 Éditeur: National Academy of Sciences DOI: 10.1073/pnas.1920695117 Dynamics of epidemics from cavity master equations: Susceptible-infectious-susceptible models Auteurs: Ernesto Ortega; David Machado; Alejandro Lage-Castellanos Publié dans: Physical Review E, Issue 9, 2022, ISSN 1539-3755 Éditeur: American Physical Society DOI: 10.1103/physreve.105.024308 Modeling sequence-space exploration and emergence of epistatic signals in protein evolution Auteurs: Bisardi, Matteo; Rodriguez-Rivas, Juan; Zamponi, Francesco; Weigt, Martin Publié dans: Molecular Biology and Evolution, Issue 9, 2022, ISSN 0737-4038 Éditeur: Oxford University Press DOI: 10.48550/arxiv.2106.02441 Book chapters (3) Predicting Interacting Protein Pairs by Coevolutionary Paralog Matching. Auteurs: Thomas Gueudré; Carlo Baldassi; Andrea Pagnani; Martin Weigt Publié dans: Protein-Protein Interaction Networks, Issue 15, 2019, Page(s) 57–65, ISBN 978-1-4939-9872-2 Éditeur: Humana, New York, NY DOI: 10.1007/978-1-4939-9873-9_5 Kinetic modelling of competition and depletion of shared miRNAs by competing endogenous RNAs Auteurs: Martirosyan, Araks; Del Giudice, Marco; Bena, Chiara Enrico; Pagnani, Andrea; Bosia, Carla; De Martino, Andrea Publié dans: Computational Biology of Non-Coding RNA, Issue 15, 2019, Page(s) 367–409, ISBN 978-1-4939-8981-2 Éditeur: Humana Press, New York, NY DOI: 10.48550/arxiv.1812.09538 Kinetic Modelling of Competition and Depletion of Shared miRNAs by Competing Endogenous RNAs Auteurs: Araks Martirosyan, Marco Del Giudice, Chiara Enrico Bena, Andrea Pagnani, Carla Bosia, Andrea De Martino Publié dans: Computational Biology of Non-Coding RNA - Methods and Protocols, Issue 1912, 2019, Page(s) 367-409, ISBN 978-1-4939-8981-2 Éditeur: Springer New York DOI: 10.1007/978-1-4939-8982-9_15 Conference proceedings (1) Influence of settings and predictors in neural network model performance: a Buenos Aires air quality case Auteurs: Ariel F. Scagliotti; David H. Margarit; Marcela V. Reale; Guillermo A. Jorge Publié dans: Procedia Computer Science, 2022, ISSN 1877-0509 Éditeur: Elsevier DOI: 10.1016/j.procs.2022.11.019 Recherche de données OpenAIRE... Une erreur s’est produite lors de la recherche de données OpenAIRE Aucun résultat disponible
