JProfileGrid

JProfileGrid visualizes multiple sequence alignments as color‑coded ProfileGrids to summarize residue frequencies and support analysis of conservation, motifs, and sequence variation in protein and nucleic acid families.

Key Features:

• ProfileGrid Representation: Transforms MSAs into color‑coded matrices in which each column represents an alignment position and colors indicate residue frequencies, enabling overview of conservation and variability.
• Dynamic Interaction: Provides operations to alter color schemes, extract subsets of sequences based on residues of interest, and correlate alignment data with residue physical properties.
• Motif Identification: Overlays similarity plots onto ProfileGrids to facilitate identification of conserved motifs and pinpoint functionally significant regions within protein families.
• Export and Visualization: Produces colored matrix outputs for publication‑quality figures and exports conservation data for integration with molecular visualization tools such as PyMOL.
• Application to Large Datasets: Applied to a curated collection of 300 bacterial RecA homologs to identify rare residues, examine structural patterns, and highlight unique sequence features including Bacillus subtilis homologs and the MAW motif.

Scientific Applications:

• RecA family analysis: Analysis of the RecA protein family to investigate sequence conservation related to DNA recombination and repair and to identify DNA‑binding residues.
• Motif and nanoanatomy studies: Exploration of conserved motifs such as the MAW motif to infer functional regions and nanoanatomy of proteins.
• Bacillus subtilis RecA characterization: Examination of unique sequence features of Bacillus subtilis RecA homologs within large alignments.
• Large‑scale alignment analysis: Identification of rare residues, structural patterns, and unique sequence features across extensive protein families.

Methodology:

Curates sequence data and computes ProfileGrids that encode residue frequencies across alignment positions; overlays similarity plots, extracts sequence subsets based on residue queries, and exports conservation data for integration with PyMOL.