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Getting started

  • Introduction
  • Installation

Theory

  • Normal Mode Analysis (NMA)
  • Principal Component Analysis (PCA)
  • Kernel PCA (kPCA)
  • Incremental PCA
  • Multi-dimensional scaling (MDS)
  • t-Distributed Stochastic Neighbor Embedding (t-SNE)

Usage

  • NMA Scripts
  • PCA Scripts

Tutorials

  • NMA Tutorial
  • PCA Tutorial

pyMODE-TASK

  • pyMODE-TASK- PyMOL plugin
Mode-Task
  • Docs »
  • MODE-TASK’s documentation
  • Edit on GitHub

MODE-TASK’s documentation¶

Getting started

  • Introduction
    • PyMOL Plugin
    • Cite this project
    • Contributing
    • License
  • Installation
    • Platform compatibility
    • Download the project
    • Installing dependencies

Theory

  • Normal Mode Analysis (NMA)
  • Principal Component Analysis (PCA)
  • Kernel PCA (kPCA)
  • Incremental PCA
  • Multi-dimensional scaling (MDS)
  • t-Distributed Stochastic Neighbor Embedding (t-SNE)

Usage

  • NMA Scripts
    • Coarse grain
    • ANM
    • Mean square fluctuation
    • Assembly Covariance
    • Conformation mode
    • Combination mode
    • Mode visualisation
  • PCA Scripts
    • PCA on Cartesian coordinates
    • PCA on internal coordinates
    • MDS (Multi-dimensional scaling) on MD trajectory
    • t-SNE on MD trajectory

Tutorials

  • NMA Tutorial
    • Aim
    • Create a working directory
    • Preparation of structure of the mature capsid
    • Preparation of the structure of the A-particle capsid
    • Coarse grain
    • Mode decomposition
    • Identification of modes that contribute to the conformational change
    • Conformation mode
    • Combination mode
    • Mode visualisation
    • Mean square fluctuation (MSF)
    • Assembly Covariance
  • PCA Tutorial
    • PCA of a MD trajectory
    • MDS (Multi-dimensional scaling) on a MD trajectory
    • t-SNE on a MD trajectory

pyMODE-TASK

  • pyMODE-TASK- PyMOL plugin
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© Copyright 2017, CJ Ross, B Nizami, M Glenister, OS Amamuddy, AR Atilgan, C Atilgan and Ö Tastan Bishop Revision d9291ef6.

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