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43ª RASBQ

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43ª RASBQ
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UNIVERSIDADE FEDERAL DE GOIÁS

Bruno Neves

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Papers 1
  • Machine learning models for predicting the transmission-blocking activity of compounds against Plasmodium sp.

    • Sabrina Silva Mendonça 1
    • Joyce Villa-verde Bastos Borba 2
    • Bruno Neves 1
    • Juliana Calit Paim 3
    • Richard Eastman 4
    • Daniel Youssef Bargieri 3
    • 1 Universidade Federal de Goiás
    • 2 Universidade de Campinas
    • 3 Universidade de São Paulo
    • 4 National Institutes of Health
    Vol 1, 2020 -
    129594
    Química Medicinal - MED
    Exposição de Pôster

Co-authors (5)

  • Joyce Villa-verde Bastos Borba

    2 publications

  • Sabrina Silva Mendonça

    1 publication

  • Juliana Calit Paim

    1 publication

  • Richard Eastman

    1 publication

  • Daniel Youssef Bargieri

    1 publication

Publications in other proceedings

  • BrazMedChem 2022

    Multitask Learning Approach to Predict Hepatotoxicity Phenotypes of Chemicals in Clinical Assays

  • BrazMedChem 2022

    Cheminformatics-driven identification of new antiplasmodial hits effective against asexual and sexual stages

  • BrazMedChem 2022

    PeptiBase: a novel source for peptide-based drug development

  • BrazMedChem 2022

    Assessing Neurotoxicity Potential of Chemicals Through Adverse Outcome Pathways: A Multitask Learning Approach

  • BrazMedChem 2022

    Inductive Transfer of Knowledge: Development of Predictive Multitask Learning Models to Find New Hit Compounds Against Trypanosomatids

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