# Cold Spot SCANNER: Colab Notebook for predicting cold spots in protein–protein interfaces

**Authors:** Sagara N. S. Gurusinghe, Julia M. Shifman

PMC · DOI: 10.1186/s12859-024-05796-5 · 2024-04-30

## TL;DR

Cold Spot SCANNER is a new tool that identifies cold spots in protein interfaces, which can help improve protein engineering and understanding of protein evolution.

## Contribution

The novel contribution is the development of Cold Spot SCANNER, a freely accessible Colab Notebook for detecting cold spots in protein–protein interfaces.

## Key findings

- Cold Spot SCANNER identifies cold spots based on cavities and unfavorable interactions in protein interfaces.
- The tool provides a visual interface and downloadable results for users.
- Cold spot detection is valuable for protein engineering and evolutionary studies.

## Abstract

Protein–protein interactions (PPIs) are conveyed through binding interfaces or surface patches on proteins that become buried upon binding. Structural and biophysical analysis of many protein–protein interfaces revealed certain unique features of these surfaces that determine the energetics of interactions and play a critical role in protein evolution. One of the significant aspects of binding interfaces is the presence of binding hot spots, where mutations are highly deleterious for binding. Conversely, binding cold spots are positions occupied by suboptimal amino acids and several mutations in such positions could lead to affinity enhancement. While there are many software programs for identification of hot spot positions, there is currently a lack of software for cold spot detection.

In this paper, we present Cold Spot SCANNER, a Colab Notebook, which scans a PPI binding interface and identifies cold spots resulting from cavities, unfavorable charge-charge, and unfavorable charge-hydrophobic interactions. The software offers a Py3DMOL-based interface that allows users to visualize cold spots in the context of the protein structure and generates a zip file containing the results for easy download.

Cold spot identification is of great importance to protein engineering studies and provides a useful insight into protein evolution. Cold Spot SCANNER is open to all users without login requirements and can be accessible at: https://colab.research.google.com/github/sagagugit/Cold-Spot-Scanner/blob/main/Cold_Spot_Scanner.ipynb.

The online version contains supplementary material available at 10.1186/s12859-024-05796-5.

## Full-text entities

- **Genes:** LOC404103 (spleen trypsin inhibitor) [NCBI Gene 404103] {aka BPTI, SI}
- **Diseases:** Cold Spot SCANNER (MESH:D008796)
- **Chemicals:** asparagines (MESH:D001216), glutamines (MESH:D005973), PDB 2R9P (-), acids (MESH:D000143), water (MESH:D014867), histidines (MESH:D006639), amino acids (MESH:D000596), Hydrogens (MESH:D006859)
- **Species:** Saccharomyces cerevisiae (baker's yeast, species) [taxon 4932], Mus musculus (house mouse, species) [taxon 10090], Human immunodeficiency virus 1 (no rank) [taxon 11676]
- **Mutations:** aspartate residue at position 33, arginine at positions 17, glycine residue at position 54

## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11061940/full.md

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Source: https://tomesphere.com/paper/PMC11061940