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Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

Published on: July 16, 2017

iHOPerator: user-scripting a personalized bioinformatics Web, starting with the iHOP website.

Benjamin M Good¹, Edward A Kawas, Byron Yu-Lin Kuo

¹The James Hogg iCAPTURE Centre for Cardiovascular and Pulmonary Research, Providence Health Care/University of British Columbia, St, Paul's Hospital, Rm, 166, 1081 Burrard St, Vancouver, British Columbia, V6Z 1Y6, Canada. goodb@interchange.ubc.ca

BMC Bioinformatics

|December 19, 2006

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User-scripts enhance biological information access by personalizing web content. The iHOPerator script improves the iHOP website, offering better gene visualization and data integration for scientists.

Area of Science:

Bioinformatics
Web Development
Scientific Information Management

Background:

User-scripts offer enhanced control over web content display.
The internet is crucial for scientists accessing biological information.
GreaseMonkey facilitates user-script development for Firefox.

Purpose of the Study:

To enhance the iHOP (information Hyperlinked Over Proteins) website using user-scripts.
To improve the accessibility and utility of biological information online.

Main Methods:

Developed the iHOPerator, a GreaseMonkey user-script.
Augmented gene-centric pages on the iHOP website.
Integrated data from third-party resources.

Main Results:

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Last Updated: Jul 18, 2026

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

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Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling

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The iHOPerator provides compact, configurable gene visualizations.
Enabled automatic collection and display of biochemical pathway diagrams.
Enhanced the presentation of biological data within the iHOP context.

Conclusions:

User-scripts like iHOPerator personalize the web experience for life scientists.
This demonstrates the potential of user-driven controls in biological information systems.
Facilitates a shift towards a user-centric web for scientific discovery.