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Novel Pesticides for a Sustainable Agriculture


Protocols to insert on non-proteinogenic aminoacids in peptides UPSud

Protocols to insert on nonproteinogenic aminoacids in peptidesUPSud

Protocols for the synthesis of fluorinated amino acids
NoPest meeting schedule

A schedule with conference calls and project meetings and locations.

List of candidate cell wall target enzymes

List of candidate cell wall target enzymes will be produced and used in the next WPs.

NoPest meets the public

A schedule with events and locations dedicated to the general public

Protocols to assay in vitro the anti-microbial activity of aptamers +/- CPPs

Protocols to assay in vitro the antimicrobial activity of aptamers CPPs

Evaluation of high-throughput phenotyping tools at lab level

Evaluation of highthroughput phenotyping tools at lab level

QSAR models for activity prediction of non-peptidic compounds

QSAR models for activity prediction of nonpeptidic compounds

A comprehensive map of cell wall metabolism in selected oomycetes
Cell wall structures of the obligate and non-obligate oomycetes

Cell wall structures of the obligate and nonobligate oomycetesThese data will be necesssary to evaluate the effects of the antimicrobial molecules isolated during NoPEST

Pharmacophore model for virtual screening of compound libraries
NoPest and stakeholders

A schedule with exhibition events to meet stakeholders and farmers

A method for the in vitro culture of P. viticola

A method for the in vitro culture of P viticolaP viticola is an obligate biotrophic pathogen the possibility to grow it in vitro will facilitate all the analysis

NoPest website

NoPest website, protected workspace and searchable database

Data Management Plan

NoPest research will generate electronic files and datasets primarily of two types, text files and structure files. Text files consist of the following: lists of candidate target proteins from pathogens (D1.1, D1.4); linear and cyclic peptide aptamers interacting or not with the 20 most promising oomycete target proteins, together with their biochemical properties (D2.2, D2.3); lists of non-peptide molecules identified by virtual screening (D.4.3); lists of non-peptide small molecules and peptidomimetics, together with the description of their performance in vitro and in vivo, their specificity and toxicity (D7.1, D7.2, D7.3, D7.4); sequence data of genes, proteins and peptides; protocols for the growth of oomycetes in vitro (D1.2), and for in vitro aptamer bioactivity assays (D6.1); protocols and data derived from the test and validation of the various non-invasive sensing technologies under lab and field conditions (D5.1, D5.2, D5.3); formulations of the 3 best molecules (peptidomimetics and non-peptide molecules) to be tested in vivo (D8.1); data on cost-benefit analysis of the NoPest technology (D8.3). All data (text and structural) will be stored at the Work-Package Leader (WPL) organization and at the NoPest website server. Data at the NoPest website will be stored in a searchable database. Multiple tools for building the database are available, including the CACTVS toolkit ( This setup will allow for an easy web-based execution of two important tasks: 1) visualization and manipulation of protein/peptides/small molecules structures and 2) text searching and structural searching for the retrieval of textual and structural information. Metadata: In compliance with metadata requirements, a master file will be created by WPLs for each experiment in liaison with the relevant teams. All details will be recorded: project number, personnel involved, date of experiments, contacts, filenames and dates of the protocol document, data and analysis files. Methods and timeframes for data sharing: Publishable datasets will be analysed and published in open-access scientific journals, so the data will become universally available within the papers or their electronic supplementary materials. Data files will be stored by the WPLs and the corresponding author(s) of the papers. • Physical materials (pathogens, plasmids, libraries) will be kept by the corresponding authors of publications and will be distributed to the scientific community upon request. • After publication, each dataset will be publicly available in a downloadable format at the NoPest website


Biochemical characterization and molecular insights into substrate recognition of pectin methylesterase from Phytophthora infestans

Author(s): Rajender Kumar, Sanjiv Kumar, Vincent Bulone, Vaibhav Srivastava
Published in: Computational and Structural Biotechnology Journal, 2022, ISSN 2001-0370
Publisher: Elsevier
DOI: 10.1016/j.csbj.2022.11.003

Assessment of downy mildew in grapevine using computer vision and fuzzy logic. Development and validation of a new method

Author(s): Inés Hernández, Salvador Gutiérrez, Sara Ceballos, Fernando Palacios, Silvia Laura Toffolatti, Giuliana Maddalena, María Paz Diago, Javier Tardaguila
Published in: OENO One, 2022, ISSN 2494-1271
Publisher: International Viticulture and Enology Society
DOI: 10.20870/oeno-one.2022.56.3.5359

Game-changing alternatives to conventional fungicides: small RNAs and short peptides

Author(s): Stefano Rosa, Paolo Pesaresi, Chiara Mizzotti, Vincent Bulone, Bruno Mezzetti, Elena Baraldi, Simona Masiero
Published in: Trends in Biotechnology, 2021, Page(s) 1-18, ISSN 0167-7799
Publisher: Elsevier BV
DOI: 10.1016/j.tibtech.2021.07.003

The cyclic peptide G4CP2 enables the modulation of galactose metabolism in yeast by interfering with GAL4 transcriptional activity

Author(s): Rosa S, Tagliani A, Bertaso C, Tadini L, Visentin C, Gourlay LJ, Pricl S, Feni L, Pellegrino S, Pesaresi P, Masiero S.
Published in: Frontiers in Molecular Biosciences, 2023, ISSN 2296-889X
Publisher: Frontiers Media S.A.
DOI: 10.3389/fmolb.2023.1017757

Identification of Growth Inhibitors of the Fish Pathogen Saprolegnia parasitica Using in silico Subtractive Proteomics, Computational Modeling, and Biochemical Validation.

Author(s): Sanjiv Kumar; Rahul Shubhra Mandal; Vincent Bulone; Vincent Bulone; Vaibhav Srivastava
Published in: Frontiers in Microbiology, Vol 11 (2020), Issue 7, 2020, Page(s) 1-12, ISSN 1664-302X
Publisher: Frontiers Media
DOI: 10.3389/fmicb.2020.571093

Artificial Intelligence and Novel Sensing Technologies for Assessing Downy Mildew in Grapevine

Author(s): Inés Hernández, Salvador Gutiérrez, Sara Ceballos, Rubén Iñíguez, Ignacio Barrio and Javier Tardaguila
Published in: Horticulturae, 2021, ISSN 2311-7524
Publisher: MDPI
DOI: 10.3390/horticulturae7050103

Synthetic Protein Circuits and Devices Based on Reversible Protein-Protein Interactions: An Overview

Author(s): Stefano Rosa, Chiara Bertaso, Paolo Pesaresi, Simona Masiero and Andrea Tagliani
Published in: Life, 2021, ISSN 2075-1729
Publisher: MDPI
DOI: 10.3390/life11111171

The Dark Side of Fungi: How They Cause Diseases in Plants

Author(s): "Marcianò , D.; Mizzotti, C.; Maddalena, G.; Toffolatti, S.L."
Published in: Crossref, Issue 4, 2021, Page(s) 1-8, ISSN 2296-6846
Publisher: Frontiers Media
DOI: 10.3389/frym.2021.560315

Methods for Fungicide Efficacy Screenings: Multiwell Testing Procedures for the Oomycetes Phytophthora infestans and Pythium ultimum.

Author(s): Marcianò Demetrio, Toffolatti Silvia Laura
Published in: Microorganisms, 2023, ISSN 2076-2607
Publisher: MDPI
DOI: 10.3390/microorganisms11020350

Editorial: Apoplastic effectors — What roles do they play in plant-pathogen interactions?

Author(s): Chen Xiao-Ren, Wang Yonglin, Kale Shiv D., Fang Yufeng, Srivastava Vaibhav
Published in: Frontiers in Microbiology, 2023, ISSN 1664-302X
Publisher: Frontiers Media
DOI: 10.3389/fmicb.2023.1149771

Editorial: Advances in multi-omics study of filamentous plant pathogens

Author(s): Shen Danyu, Wang Yan, Chen Xiaoren, Srivastava Vaibhav, Toffolatti Silvia Laura
Published in: Frontiers in Microbiology, 2022, ISSN 1664-302X
Publisher: Frontiers Media
DOI: 10.3389/fmicb.2022.998501

EISMEA for a Greener Future

Author(s): Ioannis Fiamegkos and Pietro Querzola
Published in: BackStage@EISMEA, 2021
Publisher: EISMEA

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