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  • National Laboratory for Scientific Computing (LNCC/MCTI)
  • Rio de Janeiro, Brazil

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@equipe-customizacao-tese-lncc @EveryBlockStudio @nb2i @eamc-lncc @gmmsb-lncc
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mpds/README.md

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Hi there! 👋

I'm Matheus Müller.

  • 🧪 Research interests: AI & ML for drug discovery and bioinformatics
  • 🎓 Pursuing a Ph.D. at LNCC/MCTI 🇧🇷
  • 💻 Technology specialist at Nanobusiness
  • 📰 Check out my publications

Pinned

  1. gmmsb-lncc/docktgrid gmmsb-lncc/docktgrid Public

    Create customized voxel representations of protein-ligand complexes using GPU.

    Python 7 2

  2. gmmsb-lncc/generative-optim gmmsb-lncc/generative-optim Public

    Multi- and many-objective optimization in generative chemistry model latent spaces.

    Python 3

  3. Item 1 - Perceptron Item 1 - Perceptron
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    import numpy as np
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    def generate_dataset(N: int, p1: list, p2: list, seed: int = 42):
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        """Generate a random dataset with size N from p1 and p2."""
  4. Represent molecules with voxel grids Represent molecules with voxel grids
    1
    {
    2
      "nbformat": 4,
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      "nbformat_minor": 0,
    4
      "metadata": {
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        "colab": {