MAPSTK: A Multi-parameter Protein Sequence Analysis Toolkit

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Authors: Kanhu Charan Das, Ruchishree Konhar, Thongnibah Welfrank, Devendra Kumar Biswal
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Abstract

MAPSTK (Multi-parameter Analysis Protein Sequence Toolkit) is a command-line bioinformatics software designed for comprehensive analysis of protein sequences using a unified and modular framework. The toolkit integrates 15 independent analytical modules to compute physicochemical properties, structural features, and functional predictions directly from protein FASTA sequences. MAPSTK supports both single-sequence and multi-sequence FASTA inputs and allows users to execute individual tools or run all modules simultaneously through a single command. The implemented modules include amino acid composition, aliphatic index, charged residues, extinction coefficient, GRAVY, in-vivo half-life, hydropathy profiling, instability index, isoelectric point, molecular weight, Shannon entropy, total charge, transmembrane region prediction, toxicity prediction, and structure prediction. The software is implemented in Python and is optimized for reproducible, large-scale protein analysis. MAPSTK automatically generates tabular outputs and graphical visualizations, while also tracking execution time and memory usage for performance assessment. Selected modules rely on external databases or web-based APIs, requiring an active internet connection during execution. MAPSTK is intended for researchers in bioinformatics, computational biology, and proteomics who require an extensible and easy-to-use toolkit for protein sequence characterization, benchmarking, and exploratory analysis. The software is distributed with full documentation and example usage to ensure reproducibility and ease of integration into existing computational workflows.

Fields of Study & Subjects

Machine Learning in Bioinformatics Protein Structure and Dynamics Fractal and DNA sequence analysis

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
31 January 2026
Language
EN