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PIKAChU: a Python-based informatics kit for analysing chemical units.

Barbara R Terlouw¹, Sophie P J M Vromans², Marnix H Medema³

¹Bioinformatics Group, Wageningen University, Droevendaalsesteeg 1, 6708 PB, Wageningen, The Netherlands. barbara.terlouw@wur.nl.

Journal of Cheminformatics

|June 7, 2022

Summary

Researchers can now use PIKAChU, a Python-based cheminformatics toolbox, for in silico chemistry. This lightweight tool simplifies molecular graph generation and analysis for biochemical research.

Keywords:

Cheminformatics kit In silico chemistry Molecular fingerprinting Python Structure visualisation

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Area of Science:

Computational Chemistry
Bioinformatics
Cheminformatics

Background:

Computational chemistry tools are vital for biochemical research.
Existing tools are often complex, difficult to use, and have many dependencies.
Python is the preferred language for bioinformaticians, but many cheminformatics tools are not Python-based.

Purpose of the Study:

Introduce PIKAChU, a Python-based cheminformatics toolbox.
Provide a user-friendly and lightweight alternative to existing cheminformatics software.
Facilitate in silico chemistry analysis in biochemical research.

Main Methods:

PIKAChU builds comprehensive molecular graphs from SMILES strings.
The toolbox supports analysis of aromaticity, chirality, charge, hybridisation, and electron orbitals.
It includes functions for Morgan fingerprinting, similarity scoring, substructure matching, and visualization.
PIKAChU also assists in implementing reaction mechanisms.

Main Results:

PIKAChU offers a cheminformatics toolbox with minimal dependencies, implemented in Python.
It generates extensive molecular graphs suitable for downstream analysis.
The toolbox is designed for ease of use and installation, contrasting with complex existing tools.
PIKAChU integrates seamlessly with other Python-based bioinformatics and cheminformatics tools.

Conclusions:

PIKAChU provides a valuable, user-friendly, and efficient cheminformatics resource for researchers.
Its minimalistic design and Python implementation make it an accessible tool for various biochemical applications.
The toolbox simplifies complex cheminformatic processing, aiding in biochemical research and development.