herg-binding-mechanisms

Source code and data for reproducing "The impact of uncertainty in hERG binding mechanism on in silico predictions of drug-induced proarrhythmic risk".

https://github.com/cardiacmodelling/herg-binding-mechanisms

Science Score: 13.0%

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  • CITATION.cff file
  • codemeta.json file
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    Found 3 DOI reference(s) in README
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    Low similarity (8.2%) to scientific vocabulary

Keywords

drug-binding drug-induced-arrhythmias herg in-silico uncertainty
Last synced: 9 months ago · JSON representation

Repository

Source code and data for reproducing "The impact of uncertainty in hERG binding mechanism on in silico predictions of drug-induced proarrhythmic risk".

Basic Info
  • Host: GitHub
  • Owner: CardiacModelling
  • License: bsd-3-clause
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 1.3 GB
Statistics
  • Stars: 1
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Topics
drug-binding drug-induced-arrhythmias herg in-silico uncertainty
Created over 3 years ago · Last pushed over 2 years ago
Metadata Files
Readme License Citation

README.md

Impact of hERG binding mechanisms on risk prediction

This repository contains source code and data that reproduce the article "The impact of uncertainty in hERG binding mechanism on in silico predictions of drug-induced proarrhythmic risk" by Chon Lok Lei, Dominic Whittaker and Gary Mirams.

Model structures used in this repository

Requirements

The code requires Python (3.5+) and the dependencies listed in requirements.txt.

To setup, navigate to the path where you downloaded this repo and run console $ python3 -m venv env $ source env/bin/activate $ pip install -r requirements.txt

Outline

  • data: Contains all the data, including fitting results.
  • methods: Contains all the Python helper modules, classes and functions.
  • models: Model files, contains all the hERG and AP models.
  • protocols: Contains all the voltage clamp protocols.
  • src: Source code for reproducing the results and figures.

Acknowledging this work

If you publish any work based on the contents of this repository please cite (CITATION file):

Chon Lok Lei, Dominic G. Whittaker and Gary R Mirams. (2023).
The impact of uncertainty in hERG binding mechanism on in silico predictions of drug-induced proarrhythmic risk.
British Journal of Pharmacology doi:10.1111/bph.16250

Owner

  • Name: Cardiac Modelling
  • Login: CardiacModelling
  • Kind: organization
  • Location: United Kingdom

Codes and Resources from the University of Nottingham's cardiac modelling team

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Last synced: over 2 years ago

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  • Total Commits: 57
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  • Commits: 57
  • Committers: 2
  • Avg Commits per committer: 28.5
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Chon Lok Lei c****i@g****m 54
Gary Mirams g****s@g****m 3

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