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Alessandra Carbone

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Filters: Author is Alessandra Carbone
2020
Teppa E, Nadalin F, Combet C, Zea D, David L, Carbone A. Coevolution analysis of amino-acids reveals diversified drug resistance solutions in viral sequences: a case study of hepatitis B virus. Virus Evolution. 6(1), (2020).
Teppa E, Zea D, Oteri F, Carbone A. COVTree: Coevolution in OVerlapped sequences by Tree analysis server. Nucleic Acids Research. (2020).
Corsi F, Lavery R, Laine E, Carbone A. Multiple protein-DNA interfaces unravelled by evolutionary information, physico-chemical and geometrical properties. PLoS Computational Biology. 16(2), (2020).
Laplaza R, Peccati F, Boto R, Quan C, Carbone A, Piquemal J-P, Maday Y, Contreras-García J. NCIPLOT and the analysis of noncovalent interactions using the reduced density gradient. WIREs Computational Molecular Science. (2020).
Boto R, Peccati F, Laplaza R, Quan C, Carbone A, Piquemal J-P, Maday Y, Contreras-García J. NCIPLOT4: fast, robust and quantitative analysis of noncovalent interactions. Journal of Chemical Theory and Computation. pp.4150–4158 (2020).
Drillon G, Champeimont R, Oteri F, Fischer G, Carbone A. Phylogenetic reconstruction based on synteny block and gene adjacencies. Molecular Biology and Evolution. 37(9), pp.2747–2762 (2020).
Karami Y, Saighi P, Vanderhaegen R, Gerlier D, Longhi S, Laine E, Carbone A. Predicting substitutions to modulate disorder and stability in coiled-coils. BMC Bioinformatics. 21(573 ), (2020).
David L, Vicedomini R, Richard H, Carbone A. Targeted domain assembly for fast functional profiling of metagenomic datasets with S3A. Bioinformatics. (2020).
2018
Lagarde N, Carbone A, Sacquin-Mora S. Hidden partners: Using cross-docking calculations to predict binding sites for proteins with multiple interactions. PROTEINS: Structure, Function, and Bioinformatics. (2018).
Briquet S, Ourimi A, Pionneau C, Bernardes JS, Carbone A, Chardonnet S, Vaquero C. Identification of Plasmodium falciparum nuclear proteins by mass spectrometry and proposed protein annotation. PLoS One. (2018).
Karami Y, Bitard-Feildel T, Laine E, Carbone A. "Infostery” analysis of short molecular dynamics simulations identifies highly sensitive residues and predicts deleterious mutations. Scientific Reports. 8(1), (2018).
Raucci R, Laine E, Carbone A. Local Interaction Signal Analysis predicts protein-protein binding affinity. Structure. (2018).
Abdollahi N, Albani A, Anthony E, Baud A, Cardon M, Clerc R, Czernecki D, Conte R, David L, Delaune A, Djerroud S, Fourgoux P, Guiglielmoni N, Laurentie J, Lehmann N, Lochard C, Montagne R, Myrodia V, Opuu V, Parey E, Polit L, Privé S, Quignot C, Ruiz-Cuevas M, Sissoko M, Sompairac N, Vallerix A, Verrecchia V, Delarue M, Guérois R, Ponty Y, Sacquin-Mora S, Carbone A, Froidevaux C, Le Crom S, Lespinet O, Weigt M, Abboud S, Bernardes JS, Bouvier G, Dequeker C, Ferré A, Fuchs P, Lelandais G, Poulain P, Richard H, Schweke H, Laine* E, Lopes* A. Meet-U: Educating through research immersion. PLOS Computational Biology. 14, pp.1-10 (2018).
Ugarte A, Vicedomini R, Bernardes JS, Carbone A. A multi-source domain annotation pipeline for quantitative metagenomic and metatranscriptomic functional profiling. Microbiome. (2018).
Douam F, Fusil F, Enguehard M, Dib L, Nadalin F, Schwaller L, Hrebikova G, Mancip J, Mailly L, Montserret R, Ding Q, Maisse C, Carlot E, Xu K, Verhoeyen E, Baumert T, Ploss A, Carbone A*, Cosset FL*, Lavillette D*. A protein coevolution method designed for conserved sequences uncovers critical features of the original HCV fusion mechanism and provides molecular basis for the design of effective antiviral strategies. PLoS Pathogens. (2018).

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