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SHEDOOMTC/README.md

Aha m bu Shedoo 👾

Researcher → Artificial Intelligence | Computational Chemistry | Drug Discovery


My Interests

  • I have a background in pharmacy with deep interest in the intersection of chemistry and biology
  • Currently I focus on optimizing forcefields for parametrization of small- and macro-molecules.
  • Enhance sampling techniques and deep learning are also on the front burner to facilitate the use of molecular dynamics to answer many chemical and biological questions.

Current Projects

  • Ligand protein interactions — Using Ambertools in traditional molecular dynamics simulations.
  • Ligand DNA interactions — Using enhanced sampling techniques for global energy minimum search
  • Machine and Deep learning — Extracting the massive data from molecular dynamics for feature learning and binding/interaction dynamics

Languages and Tools

Bash Python R Jupyter scikit-learn Git


Collaborations

I am open to collaborations on this

  • Machine/deep learning potentials for ligand and macromolecules
  • Reaction cordinate search and enhanced sampling
  • How to extract, tokenize and use massive information from MD trajectory

Socials & Research

LinkedIn ORCID Google Scholar

Pinned Loading

  1. AmberTools-Analysis-Quick AmberTools-Analysis-Quick Public

    This is an attempt to deposit the things I have learnt (and used) on how to do post-MD analysis on Amber. For more information, check out the Latest Ambertools manual in the link below

    Shell

  2. Mal-Predict Mal-Predict Public

    Forked from Munaelekwa/Mal-predict

    A machine learning–based project designed to support early-stage antimalarial drug discovery

    Jupyter Notebook

  3. Basic_Data_Visualization Basic_Data_Visualization Public

    This is an assignment to visialize a dataframe in a compound barplot

  4. C_Elegans_Stress-Resistance C_Elegans_Stress-Resistance Public

    Python

  5. okammuta-na-gromacs okammuta-na-gromacs Public

    An introductory script on how to combine ligands and DNA quadruplexes for gromacs workflow. More reference is available in the tutorials by Professor Justin A. Lemkul

    Shell

  6. Munaelekwa/Mal-predict Munaelekwa/Mal-predict Public

    A machine learning–based project designed to support early-stage antimalarial drug discovery

    Jupyter Notebook 1