Bresso E - Search Results

1

Computational Strategy for Minimizing Mycotoxins in Cereal Crops: Assessment of the Biological Activity of Compounds Resulting from Virtual Screening.

Atanasova V, Bresso E, Maigret B, Martins NF, Richard-Forget F. Atanasova V, et al. Among authors: bresso e. Molecules. 2022 Apr 16;27(8):2582. doi: 10.3390/molecules27082582. Molecules. 2022. PMID: 35458779 Free PMC article.

2

Structure-based virtual screening of hypothetical inhibitors of the enzyme longiborneol synthase-a potential target to reduce Fusarium head blight disease.

Bresso E, Leroux V, Urban M, Hammond-Kosack KE, Maigret B, Martins NF. Bresso E, et al. J Mol Model. 2016 Jul;22(7):163. doi: 10.1007/s00894-016-3021-1. Epub 2016 Jun 21. J Mol Model. 2016. PMID: 27324634

3

GPCRs from fusarium graminearum detection, modeling and virtual screening - the search for new routes to control head blight disease.

Bresso E, Togawa R, Hammond-Kosack K, Urban M, Maigret B, Martins NF. Bresso E, et al. BMC Bioinformatics. 2016 Dec 15;17(Suppl 18):463. doi: 10.1186/s12859-016-1342-9. BMC Bioinformatics. 2016. PMID: 28105916 Free PMC article.

4

A Chemosensory GPCR as a Potential Target to Control the Root-Knot Nematode Meloidogyne incognita Parasitism in Plants.

Bresso E, Fernandez D, Amora DX, Noel P, Petitot AS, de Sa ML, Albuquerque EVS, Danchin EGJ, Maigret B, Martins NF. Bresso E, et al. Molecules. 2019 Oct 22;24(20):3798. doi: 10.3390/molecules24203798. Molecules. 2019. PMID: 31652525 Free PMC article.

5

Large-Scale Virtual Screening Against the MET Kinase Domain Identifies a New Putative Inhibitor Type.

Bresso E, Furlan A, Noel P, Leroux V, Maina F, Dono R, Maigret B. Bresso E, et al. Molecules. 2020 Feb 19;25(4):938. doi: 10.3390/molecules25040938. Molecules. 2020. PMID: 32093126 Free PMC article.

6

Antimicrobial properties of two novel peptides derived from Theobroma cacao osmotin.

Falcao LL, Silva-Werneck JO, Ramos Ade R, Martins NF, Bresso E, Rodrigues MA, Bemquerer MP, Marcellino LH. Falcao LL, et al. Among authors: bresso e. Peptides. 2016 May;79:75-82. doi: 10.1016/j.peptides.2016.03.006. Epub 2016 Mar 17. Peptides. 2016. PMID: 26996966 Free article.

7

Meloidogyne incognita PASSE-MURAILLE (MiPM) Gene Encodes a Cell-Penetrating Protein That Interacts With the CSN5 Subunit of the COP9 Signalosome.

Bournaud C, Gillet FX, Murad AM, Bresso E, Albuquerque EVS, Grossi-de-Sá MF. Bournaud C, et al. Among authors: bresso e. Front Plant Sci. 2018 Jun 26;9:904. doi: 10.3389/fpls.2018.00904. eCollection 2018. Front Plant Sci. 2018. PMID: 29997646 Free PMC article.

8

Integrative relational machine-learning for understanding drug side-effect profiles.

Bresso E, Grisoni R, Marchetti G, Karaboga AS, Souchet M, Devignes MD, Smaïl-Tabbone M. Bresso E, et al. BMC Bioinformatics. 2013 Jun 26;14:207. doi: 10.1186/1471-2105-14-207. BMC Bioinformatics. 2013. PMID: 23802887 Free PMC article.

9

Investigating ADR mechanisms with Explainable AI: a feasibility study with knowledge graph mining.

Bresso E, Monnin P, Bousquet C, Calvier FE, Ndiaye NC, Petitpain N, Smaïl-Tabbone M, Coulet A. Bresso E, et al. BMC Med Inform Decis Mak. 2021 May 26;21(1):171. doi: 10.1186/s12911-021-01518-6. BMC Med Inform Decis Mak. 2021. PMID: 34039343 Free PMC article.

10

Machine Learning-Derived Echocardiographic Phenotypes Predict Heart Failure Incidence in Asymptomatic Individuals.

Kobayashi M, Huttin O, Magnusson M, Ferreira JP, Bozec E, Huby AC, Preud'homme G, Duarte K, Lamiral Z, Dalleau K, Bresso E, Smaïl-Tabbone M, Devignes MD, Nilsson PM, Leosdottir M, Boivin JM, Zannad F, Rossignol P, Girerd N; STANISLAS Study Investigators. Kobayashi M, et al. Among authors: bresso e. JACC Cardiovasc Imaging. 2022 Feb;15(2):193-208. doi: 10.1016/j.jcmg.2021.07.004. Epub 2021 Sep 15. JACC Cardiovasc Imaging. 2022. PMID: 34538625 Free article. Clinical Trial.

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