3DMolMS

PyPI package

  • PyPI package: installation and inference
  • PyPI package: training

Background

  • Intro to MolConv
  • Supported formats

Source code

  • Source code setup
  • Source code usage
    • Tandem mass spectra prediction
    • Train your own model for MS/MS prediction
    • Retention time model training
    • Collision cross section model training
    • Fine-tune on your own data
  • Advanced features
3DMolMS
  • Source code usage
  • View page source

Source code usage

Run, train, and fine-tune 3DMolMS from the source code.

Prediction

  • Tandem mass spectra prediction
    • Setup
    • Step 1: Input preparation
    • Step 2: Running prediction

Training

  • Train your own model for MS/MS prediction
    • Setup
    • Step 1: Obtain the Pretrained Model
    • Step 2: Prepare the Datasets
    • Step 3: Preprocess the Datasets
    • Step 4: Train the Model
    • Step 5: Evaluation
  • Retention time model training
    • Setup
    • Step 1: Data preparation
    • Step 2: Preprocessing
    • Step 3: Training
  • Collision cross section model training
    • Setup
    • Step 1: Data preparation
    • Step 2: Preprocessing
    • Step 3: Training
  • Fine-tune on your own data
    • Setup
    • Step 1: Data preparation
    • Step 2: Training
    • Step 3: Running prediction
Previous Next

© Copyright 2023, Yuhui Hong.

Built with Sphinx using a theme provided by Read the Docs.