The Blobulator: A Toolkit for Identification and Visual Exploration of Hydrophobic Modularity in Protein Sequences

While contiguous subsequences of hydrophobic residues are essential to protein structure and function, as in the hydrophobic core and transmembrane regions, there are no current bioinformatics tools for module identification focused on hydrophobicity. To fill this gap, we created the <i>blobulator</i> toolkit for detecting, visualizing, and characterizing hydrophobic modules in protein sequences. This toolkit uses our previously developed algorithm, blobulation, which was critical in both interpreting intraprotein contacts in a series of intrinsically disordered protein simulations (Lohia et al., 2019) and defining the "local context" around disease-associated mutations across the human proteome (Lohia et al., 2022). The <i>blobulator</i> toolkit provides accessible, interactive, and scalable implementations of blobulation. These are available via a webtool, a visual molecular dynamics (VMD) plugin, and a command line interface. We highlight use cases for visualization, interaction analysis, and modular annotation through three example applications: a globular protein, two orthologous membrane proteins, and an intrinsically disordered protein. The <i>blobulator</i> webtool can be found at www.blobulator.branniganlab.org, and the source code with pip installable command line tool, as well as the VMD plugin with installation instructions, can be found on GitHub at www.GitHub.com/BranniganLab/blobulator.

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Journal
Journal of Chemical Information and Modeling
Published
2026-01-13
DOI
https://doi.org/10.1021/acs.jcim.5c01585
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
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article

The Blobulator: A Toolkit for Identification and Visual Exploration of Hydrophobic Modularity in Protein Sequences

Kaitlin Bassi, Ruchi Lohia, Ezry Santiago-McRae, Connor Pitman et al.
Journal of Chemical Information and Modeling
Protein Structure and Dynamics
article

The Blobulator: A Toolkit for Identification and Visual Exploration of Hydrophobic Modularity in Protein Sequences

Kaitlin Bassi, Ruchi Lohia, Ezry Santiago-McRae, Connor Pitman, Lindsey M. Riggs, Ryan Lamb, Grace Brannigan, Thomas T. Joseph, Matthew E. B. Hansen
article en

Abstract

While contiguous subsequences of hydrophobic residues are essential to protein structure and function, as in the hydrophobic core and transmembrane regions, there are no current bioinformatics tools for module identification focused on hydrophobicity. To fill this gap, we created the <i>blobulator</i> toolkit for detecting, visualizing, and characterizing hydrophobic modules in protein sequences. This toolkit uses our previously developed algorithm, blobulation, which was critical in both interpreting intraprotein contacts in a series of intrinsically disordered protein simulations (Lohia et al., 2019) and defining the "local context" around disease-associated mutations across the human proteome (Lohia et al., 2022). The <i>blobulator</i> toolkit provides accessible, interactive, and scalable implementations of blobulation. These are available via a webtool, a visual molecular dynamics (VMD) plugin, and a command line interface. We highlight use cases for visualization, interaction analysis, and modular annotation through three example applications: a globular protein, two orthologous membrane proteins, and an intrinsically disordered protein. The <i>blobulator</i> webtool can be found at www.blobulator.branniganlab.org, and the source code with pip installable command line tool, as well as the VMD plugin with installation instructions, can be found on GitHub at www.GitHub.com/BranniganLab/blobulator.

Journal of Chemical Information and ModelingVol. 66(2)
Rutgers, The State University of New Jersey (US), University of Pennsylvania (US)
Openalex Percentile: Top 89%
Protein Structure and Dynamics
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