ReMus

ReMus identifies non-gapped unique peptide motifs (UPMs) in protein family sequences to characterize sequence variations that underlie differential biological functions.

Key Features:

• Identification of Unique Peptide Motifs (UPMs): Detects non-gapped UPMs across query protein sequences, including human ribonuclease A (RNaseA), epidermal growth factor receptor (EGFR), matrix metalloproteinase (MMP), and Smad proteins, to distinguish family members.
• Algorithmic Approach (RMA): Employs a reinforced merging algorithm (RMA) that analyzes sequence conservation and variability to localize UPMs, often in loop regions on structural surfaces.
• Epitope Mapping: Maps UPMs to epitopes with an observed accuracy of approximately 70% and reports overlap with monoclonal and polyclonal antibody recognition sites.
• Multiple Levels of Uniqueness: Determines uniqueness using substitutional relationships among amino acids, frequency of appearance, and biological properties such as epitope candidacy.

Scientific Applications:

• Protein Family Analysis: Enables differentiation of highly similar protein family members by identifying motifs that confer distinct functional roles.
• Antigenic Region Prediction: Correlates UPMs with antigenic region predictions from tools such as PROTEAN and with known epitopes for immunological studies.
• Experimental Design: Provides candidate peptide motifs for experimental testing of functional roles and antibody interactions.

Methodology:

Uses a reinforced merging algorithm (RMA) to analyze sequence conservation and variability, detect non-gapped UPMs, map UPMs to epitopes, and validate outputs against known epitopes and antigenic predictions (e.g., PROTEAN).