https://github.com/aqlaboratory/pnerf

https://github.com/aqlaboratory/pnerf

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in README
  • Academic publication links
    Links to: wiley.com
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (6.3%) to scientific vocabulary

Keywords

machine-learning molecular-dynamics molecular-modeling molecular-simulation protein-structure proteins
Last synced: 9 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: aqlaboratory
  • License: mit
  • Language: Python
  • Default Branch: master
  • Size: 60.5 KB
Statistics
  • Stars: 36
  • Watchers: 3
  • Forks: 5
  • Open Issues: 1
  • Releases: 0
Topics
machine-learning molecular-dynamics molecular-modeling molecular-simulation protein-structure proteins
Created almost 8 years ago · Last pushed almost 7 years ago
Metadata Files
Readme License

README.md

pNeRF: Parallelized Natural Extension Reference Frame

pNeRF is a parallelized extension of the widely used NeRF method for converting the parameterization of polymers, typically proteins, from internal (bond lengths, angles, and torsions) to Cartesian coordinates. pNeRF is parallelized even for individual polymers, achieving much higher utilization of modern CPUs and GPUs, and is suitable for use in machine learning applications in which gradients are backpropagated through the NeRF equations.

This is a TensorFlow implementation of pNeRF. Using this implementation we observe speed ups of up to 13x on CPUs (Xeon E5-2643 v4) and GPUs (Titan Xp):

Color intensity corresponds to fold speed up.

PyTorch Implementation

A PyTorch implementation of pNeRF has been developed by @FelixOpolka and is available here.

Citation

Please cite this paper in the Journal of Computational Chemistry.

Funding

This work was supported by NIGMS grant P50GM107618.

Owner

  • Name: AQ Laboratory
  • Login: aqlaboratory
  • Kind: organization
  • Email: m.alquraishi@columbia.edu
  • Location: Columbia University

GitHub Events

Total
Last Year

Issues and Pull Requests

Last synced: over 1 year ago

All Time
  • Total issues: 1
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 1
  • Total pull request authors: 0
  • Average comments per issue: 0.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • n4ndoz (1)
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels