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py4chemoinformatics's Introduction

Table of Contents

Update 03_2019: forked and tried to translate to english. Corrections are welcome.

I added a little (2018.12.12). Since the web interface is likely to be beyond the scope of introductory, I will consider how to do it.

py4chemoinformatics
  • What is chemoinformatics?

  • What is RDKit?

  • Target audience

  • Acknowledgment

  • License

  • Anaconda(Python, Jupyter, scikit-learn)

  • RDKit

  • Python basics

  • Let’s use it conveniently with Jupyter notebook

  • To do machine learning with Python

  • ChEMBL

  • PubChem

  • Search for the information you want on ChEMBL

  • What is SMILES?

  • Let’s draw the structure

  • How to handle multiple compounds at once?

  • Descriptor, fingerprint

  • Calculate similarity

  • Virtual screening

  • Classification by major skeleton (MCS)

  • Compound Network by Matched Molecular Pair

  • Visualize MMP networks using Cytoscape

  • Chemical Spaceとは

  • Mapping using tSNE

  • Consider the cause of the effect (Classification problem)

  • Predict the efficacy of drugs (regression problem)

  • Model applicability (applicability domain)

  • About TensorFlow and Keras

  • Google colab

  • Let’s install

  • Predictive model construction using DNN

  • I will devise a descriptor (neural fingerprint)

  • Structure generation using Recurrent Neural Network

  • Final remarks and further reading

py4chemoinformatics's People

Contributors

kzfm avatar iwatobipen avatar joofio avatar

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