Skip to main content

Generate Mol* views using this simple Python library, which allows you to compose complex scenes in a step-wise manner.

Project description

MolViewSpec

MolViewSpec (*.msvj) is a JSON-based file format that is used to describe visual scenes or views used in molecular visualization. It adopts declarative data-driven approach to describe, load, render, and visually deliver molecular structures, along with 3D representations, coloring schemes, and associated structural, biological, or functional annotations. This Python toolkit allows for describing the information required for representing a molecular view state as data in a nested tree format that can be consumed by visualization software tools such as Mol*.

The Idea behind MolViewSpec

In the long run, MolViewSpec aims to re-imagine how users define molecular scenes by detaching this process from any concrete 3D viewer.

MolViewSpec's workflow is:

  1. define scene using MolViewSpec
  2. generic state description as .msvj
  3. open in any MolViewSpec-compatible 3D viewer

Opposed to the traditional workflow that locks users into using a specific 3D viewer, such as:

  1. define scene in Mol*
  2. Mol*-specific state format
  3. open only in Mol*

See the MolViewSpec in Action

Colab Notebook: https://colab.research.google.com/drive/1O2TldXlS01s-YgkD9gy87vWsfCBTYuz9

Access Type Definitions

All type definitions can be found here:

Description of the MolViewSpec State Tree

MolViewSpec provides a generic description of typical visual scenes that may occur as part of molecular visualizations. A tree format allows the composition of complex scene descriptors by combining reoccurring nodes that serve as building blocks.

Nodes can be nested to allow chaining of operations as child nodes will be applied to the result of the operation described by its parent node.

The corresponding MolViewSpec tree is provided in JSON and may look like this:

{
  "root": {
    "kind": "root",
    "children": [
      {
        "kind": "download",
        "params": {
          "url": "https://files.wwpdb.org/download/1cbs.cif"
        },
        "children": [
          {
            "kind": "parse",
            "params": {
              "format": "mmcif"
            },
            "children": [
              {
                "kind": "structure",
                "params": {
                  "type": "model"
                },
                "children": [
                  {
                    "kind": "component",
                    "params": {
                      "selector": "all"
                    },
                    "children": [
                      {
                        "kind": "representation",
                        "params": {
                          "type": "cartoon"
                        }
                      }
                    ]
                  }
                ]
              }
            ]
          }
        ]
      }
    ]
  },
  "metadata": {
    "version": "0.1",
    "timestamp": "2023-11-16T11:41:07.421220"
  }
}

Mol* is the reference implementation for reading MolViewSpec files.

The Tree Root

Every tree starts with a single root node, which contains all nodes in a structure fashion, and a metadata node, which can hold additional information such as a version tag as well as the timestamp when a view was created.

{
  "root": {},
  "metadata": {
    "version": "0.1",
    "timestamp": "2023-11-16T11:41:07.421220"
  }
}

The root Node

All nodes of the tree must define their kind and may have 0 or more child nodes (children). The root is a special node with a kind of root that contains a collection of children.

{
  "kind": "root",
  "children": []
}

The download Node

Node types other than the root may contain an optional params property. A common action is loading of 3D structure data. This is done using a node of kind download. In this context, params can for example provide the url from which data will be loaded from.

{
  "kind": "download",
  "children": [],
  "params": {
    "url": "https://files.wwpdb.org/download/1cbs.cif"
  }
}

The parse Node

The previous download operation merely obtains the resources from the specified URL. To make it available to the viewer, the data must be parsed. This operation expects that the format is defined (in this case mmCIF is parsed).

{
  "kind": "parse",
  "children": [],
  "params": {
    "format": "mmcif"
  }
}

The structure Node

There are different ways to load the content of a mmCIF file. Common actions are loading the 1st biological assembly or loading the deposited coordinates (also called "asymmetric unit" or "model coordinates"). The action is defined as kind. In this example, the model coordinates are loaded.

{
  "kind": "structure",
  "children": [],
  "params": {
    "kind": "model"
  }
}

The component Node

At this point, the loaded file is available in the viewer but nothing is visualized yet. Several selection (called "components") can be created. The example creates a component that includes everything using a selector set to all. Other options could be a selection for protein chains, nucleic acids, ligands etc. Components are reusable groups of atoms, residues, or chains, which can be interacted with programmatically.

{
  "kind": "component",
  "children": [],
  "params": {
    "selector": "all"
  }
}

The representation Node

The representation nodes applies to previously created components, which is provided by the parent node of a representation node. Representations are dedicated visuals that constitute a component. In this example, the selection from above -- which selects the entire structure -- and depicts it as cartoon by specifying cartoon as type.

{
    "kind": "representation",
    "params": {
      "type": "cartoon"
    }
}

Expanding the Tree

Nodes can have 0 or more nodes as children. It is, for example, possible to create multiple component nodes based on a particular structure node to create different representations for different types of molecules.

Development

Install from PyPI

pip install molviewspec

Find the package at: https://pypi.org/project/molviewspec/

Setting up the environment

mamba env create -f ./environment.yaml
conda activate mol-view-spec-dev

Running the server

cd molviewspec
python serve.py # or make serve

will run the server on localhost:9000 with reload mode on.

  • API Docs: http://localhost:9000/docs
  • Example: http://localhost:9000/api/v1/examples/load?id=1tqn

Formatting the Project

make format
make mypy

Publishing the Python Library

Mol* Extension

MolViewSpec is supported in Mol* via an official extension.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

molviewspec-1.0.0.tar.gz (16.3 kB view details)

Uploaded Source

Built Distribution

molviewspec-1.0.0-py3-none-any.whl (14.5 kB view details)

Uploaded Python 3

File details

Details for the file molviewspec-1.0.0.tar.gz.

File metadata

  • Download URL: molviewspec-1.0.0.tar.gz
  • Upload date:
  • Size: 16.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.19

File hashes

Hashes for molviewspec-1.0.0.tar.gz
Algorithm Hash digest
SHA256 77f52a77dde7db8db0e05b60137460dfa109e3df8c0f470228ce59d0396b1e50
MD5 00b68512b10dbef2f11251c39387d91c
BLAKE2b-256 e10c99f04894ea486f2d80877755ef47fd0109bd843c4b9d8955a1ebdd45e97a

See more details on using hashes here.

File details

Details for the file molviewspec-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: molviewspec-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 14.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.19

File hashes

Hashes for molviewspec-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 98af16dbb1958571a8d277e29434cd0bc116b3f58bbeb6fbb1b59c7affd3a8b8
MD5 21ac6eb27a6daff23dc66af3c0b39f70
BLAKE2b-256 2ee67cfb94f5270e79116d3fb6e0404203073af849a483862b6176fc36614d8c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page