Fenoy E - Search Results

1

Pan-Specific Prediction of Peptide-MHC Class I Complex Stability, a Correlate of T Cell Immunogenicity.

Rasmussen M, Fenoy E, Harndahl M, Kristensen AB, Nielsen IK, Nielsen M, Buus S. Rasmussen M, et al. Among authors: fenoy e. J Immunol. 2016 Aug 15;197(4):1517-24. doi: 10.4049/jimmunol.1600582. Epub 2016 Jul 8. J Immunol. 2016. PMID: 27402703 Free PMC article.

2

CD4 T Cell Responses to Theileria parva in Immune Cattle Recognize a Diverse Set of Parasite Antigens Presented on the Surface of Infected Lymphoblasts.

Morrison WI, Aguado A, Sheldrake TA, Palmateer NC, Ifeonu OO, Tretina K, Parsons K, Fenoy E, Connelley T, Nielsen M, Silva JC. Morrison WI, et al. Among authors: fenoy e. J Immunol. 2021 Oct 15;207(8):1965-1977. doi: 10.4049/jimmunol.2100331. Epub 2021 Sep 10. J Immunol. 2021. PMID: 34507950

3

A generic deep convolutional neural network framework for prediction of receptor-ligand interactions-NetPhosPan: application to kinase phosphorylation prediction.

Fenoy E, Izarzugaza JMG, Jurtz V, Brunak S, Nielsen M. Fenoy E, et al. Bioinformatics. 2019 Apr 1;35(7):1098-1107. doi: 10.1093/bioinformatics/bty715. Bioinformatics. 2019. PMID: 30169744

4

Secondary structure prediction of long noncoding RNA: review and experimental comparison of existing approaches.

Bugnon LA, Edera AA, Prochetto S, Gerard M, Raad J, Fenoy E, Rubiolo M, Chorostecki U, Gabaldón T, Ariel F, Di Persia LE, Milone DH, Stegmayer G. Bugnon LA, et al. Among authors: fenoy e. Brief Bioinform. 2022 Jul 18;23(4):bbac205. doi: 10.1093/bib/bbac205. Brief Bioinform. 2022. PMID: 35692094 Review.

5

Transfer learning in proteins: evaluating novel protein learned representations for bioinformatics tasks.

Fenoy E, Edera AA, Stegmayer G. Fenoy E, et al. Brief Bioinform. 2022 Jul 18;23(4):bbac232. doi: 10.1093/bib/bbac232. Brief Bioinform. 2022. PMID: 35758229

6

Evaluating large language models for annotating proteins.

Vitale R, Bugnon LA, Fenoy EL, Milone DH, Stegmayer G. Vitale R, et al. Among authors: fenoy el. Brief Bioinform. 2024 Mar 27;25(3):bbae177. doi: 10.1093/bib/bbae177. Brief Bioinform. 2024. PMID: 38706315

7

Transfer learning: The key to functionally annotate the protein universe.

Bugnon LA, Fenoy E, Edera AA, Raad J, Stegmayer G, Milone DH. Bugnon LA, et al. Among authors: fenoy e. Patterns (N Y). 2023 Feb 10;4(2):100691. doi: 10.1016/j.patter.2023.100691. eCollection 2023 Feb 10. Patterns (N Y). 2023. PMID: 36873903 Free PMC article.

8

Elevated temperature may reduce functional but not taxonomic diversity of fungal assemblages on decomposing leaf litter in streams.

Fenoy E, Pradhan A, Pascoal C, Rubio-Ríos J, Batista D, Moyano-López FJ, Cássio F, Casas JJ. Fenoy E, et al. Glob Chang Biol. 2022 Jan;28(1):115-127. doi: 10.1111/gcb.15931. Epub 2021 Oct 25. Glob Chang Biol. 2022. PMID: 34651383

9

Key plant species and detritivores drive diversity effects on instream leaf litter decomposition more than functional diversity: A microcosm study.

Rubio-Ríos J, Pérez J, Salinas MJ, Fenoy E, López-Rojo N, Boyero L, Casas JJ. Rubio-Ríos J, et al. Among authors: fenoy e. Sci Total Environ. 2021 Dec 1;798:149266. doi: 10.1016/j.scitotenv.2021.149266. Epub 2021 Jul 27. Sci Total Environ. 2021. PMID: 34340079 Free article.

10

Temperature and substrate chemistry as major drivers of interregional variability of leaf microbial decomposition and cellulolytic activity in headwater streams.

Fenoy E, Casas JJ, Díaz-López M, Rubio J, Guil-Guerrero JL, Moyano-López FJ. Fenoy E, et al. FEMS Microbiol Ecol. 2016 Nov;92(11):fiw169. doi: 10.1093/femsec/fiw169. Epub 2016 Aug 10. FEMS Microbiol Ecol. 2016. PMID: 27515735

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