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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

MuPIT interactive: webserver for mapping variant positions to annotated, interactive 3D structures.

Noushin Niknafs¹, Dewey Kim, Ryangguk Kim

¹Department of Biomedical Engineering, Institute for Computational Medicine, Johns Hopkins University, 3400 N. Charles St., Baltimore, MD, USA.

|June 25, 2013

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MuPIT interactive maps single-nucleotide variants (SNVs) to 3D protein structures, aiding biologists in visualizing variant functional impact. This tool helps understand genetic variations and their potential effects on protein function.

Area of Science:

Genomics
Structural Biology
Bioinformatics

Background:

Single-nucleotide variants (SNVs) are common genetic alterations.
Understanding the functional impact of SNVs on protein structure is crucial for biological and medical research.
Existing tools may require specialized bioinformatics or structural biology expertise.

Purpose of the Study:

To develop an accessible, browser-based application for visualizing the functional relevance of SNVs.
To enable biologists, regardless of expertise, to map and interpret SNVs in the context of 3D protein structures.
To facilitate the analysis of large batches of SNVs and their relationship to protein functional sites.

Main Methods:

Developed MuPIT interactive, a web-based tool that maps genomic SNV coordinates to 3D protein structure coordinates.

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Last Updated: May 10, 2026

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

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Integrated functional annotations like binding sites and polymorphisms.

Enabled batch processing of thousands of SNVs for interactive visualization.

Demonstrated utility with data from PharmGKB, The Cancer Genome Atlas, and exome sequencing projects.

Main Results:

MuPIT interactive successfully maps SNVs onto numerous protein structures.
The tool visualizes SNV clusters and their proximity to functional regions.
Case studies show its utility in interpreting polymorphisms, somatic mutations, and rare variants.
The application supports visualization of multiple SNVs per structure.

Conclusions:

MuPIT interactive provides an intuitive platform for assessing the functional impact of SNVs.
It empowers biologists to explore genetic variation effects without extensive bioinformatics training.
The tool aids in rationalizing the significance of genetic variants in various biological contexts.