PlaToLoCo

PlaToLoCo integrates predictions of low complexity regions (LCRs) from five computational algorithms and annotates their amino acid composition, domain associations, transmembrane segments, and co-occurrence with intrinsically disordered regions to support studies of protein function, evolution, and disease.

Key Features:

• Integration of multiple LCR detection tools: Consolidates outputs from five LCR discovery algorithms to provide combined region calls.
• LCR identification: Detects low complexity regions characterized by reduced amino acid diversity within protein sequences.
• Functional annotations: Performs domain detection and transmembrane segment prediction to link LCRs with structural and functional elements.
• Amino acid frequency analysis: Calculates amino acid frequencies within identified regions to quantify compositional biases.
• Result aggregation: Supports reporting the union or intersection of results across the integrated methods.
• Visualization and annotation output: Produces annotated representations of LCRs and their associated features for downstream analysis.

Scientific Applications:

• Protein function analysis: Interpreting how LCRs and their compositional biases contribute to protein function and interactions.
• Intrinsic disorder research: Examining co-occurrence and relationships between LCRs and intrinsically disordered regions.
• Evolutionary biology: Studying conservation and variation of LCRs across organisms to infer evolutionary patterns.
• Disease mechanism investigation: Investigating associations between LCRs and disease-related protein dysfunctions.

Methodology:

Consolidates outputs from five LCR detection algorithms, calculates amino acid frequencies for identified regions, performs domain detection and transmembrane segment prediction, and supports union/intersection aggregation and visualization/annotation of the resulting LCRs.