Pagnani A - Search Results

1

Somatic mutagenesis in satellite cells associates with human skeletal muscle aging.

Franco I, Johansson A, Olsson K, Vrtačnik P, Lundin P, Helgadottir HT, Larsson M, Revêchon G, Bosia C, Pagnani A, Provero P, Gustafsson T, Fischer H, Eriksson M. Franco I, et al. Among authors: pagnani a. Nat Commun. 2018 Feb 23;9(1):800. doi: 10.1038/s41467-018-03244-6. Nat Commun. 2018. PMID: 29476074 Free PMC article.

2

Modelling Competing Endogenous RNA Networks.

Bosia C, Pagnani A, Zecchina R. Bosia C, et al. Among authors: pagnani a. PLoS One. 2013 Jun 26;8(6):e66609. doi: 10.1371/journal.pone.0066609. Print 2013. PLoS One. 2013. PMID: 23840508 Free PMC article.

3

RNAs competing for microRNAs mutually influence their fluctuations in a highly non-linear microRNA-dependent manner in single cells.

Bosia C, Sgrò F, Conti L, Baldassi C, Brusa D, Cavallo F, Cunto FD, Turco E, Pagnani A, Zecchina R. Bosia C, et al. Among authors: pagnani a. Genome Biol. 2017 Feb 20;18(1):37. doi: 10.1186/s13059-017-1162-x. Genome Biol. 2017. PMID: 28219439 Free PMC article.

4

Kinetic Modelling of Competition and Depletion of Shared miRNAs by Competing Endogenous RNAs.

Martirosyan A, Del Giudice M, Bena CE, Pagnani A, Bosia C, De Martino A. Martirosyan A, et al. Among authors: pagnani a. Methods Mol Biol. 2019;1912:367-409. doi: 10.1007/978-1-4939-8982-9_15. Methods Mol Biol. 2019. PMID: 30635902 Review.

5

Integrated transcriptional and competitive endogenous RNA networks are cross-regulated in permissive molecular environments.

Ala U, Karreth FA, Bosia C, Pagnani A, Taulli R, Léopold V, Tay Y, Provero P, Zecchina R, Pandolfi PP. Ala U, et al. Among authors: pagnani a. Proc Natl Acad Sci U S A. 2013 Apr 30;110(18):7154-9. doi: 10.1073/pnas.1222509110. Epub 2013 Mar 27. Proc Natl Acad Sci U S A. 2013. PMID: 23536298 Free PMC article.

6

An analytic approximation of the feasible space of metabolic networks.

Braunstein A, Muntoni AP, Pagnani A. Braunstein A, et al. Among authors: pagnani a. Nat Commun. 2017 Apr 6;8:14915. doi: 10.1038/ncomms14915. Nat Commun. 2017. PMID: 28382977 Free PMC article.

7

Efficient generative modeling of protein sequences using simple autoregressive models.

Trinquier J, Uguzzoni G, Pagnani A, Zamponi F, Weigt M. Trinquier J, et al. Among authors: pagnani a. Nat Commun. 2021 Oct 4;12(1):5800. doi: 10.1038/s41467-021-25756-4. Nat Commun. 2021. PMID: 34608136 Free PMC article.

8

Author Correction: Efficient generative modeling of protein sequences using simple autoregressive models.

Trinquier J, Uguzzoni G, Pagnani A, Zamponi F, Weigt M. Trinquier J, et al. Among authors: pagnani a. Nat Commun. 2022 Apr 1;13(1):1889. doi: 10.1038/s41467-022-29593-x. Nat Commun. 2022. PMID: 35365680 Free PMC article. No abstract available.

9

Inference of annealed protein fitness landscapes with AnnealDCA.

Sesta L, Pagnani A, Fernandez-de-Cossio-Diaz J, Uguzzoni G. Sesta L, et al. Among authors: pagnani a. PLoS Comput Biol. 2024 Feb 20;20(2):e1011812. doi: 10.1371/journal.pcbi.1011812. eCollection 2024 Feb. PLoS Comput Biol. 2024. PMID: 38377054 Free PMC article.

10

Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach.

Bailly-Bechet M, Braunstein A, Pagnani A, Weigt M, Zecchina R. Bailly-Bechet M, et al. Among authors: pagnani a. BMC Bioinformatics. 2010 Jun 29;11:355. doi: 10.1186/1471-2105-11-355. BMC Bioinformatics. 2010. PMID: 20587029 Free PMC article.

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