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From cheminformatics to structure-based design: Web services and desktop applications based on the NAOMI library
Stefan Bietz1, Therese Inhester1, Florian Lauck1
1Universität Hamburg, ZBH - Center for Bioinformatics, Bundesstrasse 43, 20146 Hamburg, Germany.
Journal of Biotechnology
|June 15, 2017
Summary
Computational tools enhance life science research by aiding data analysis and prediction. This study presents software for structural bioinformatics and cheminformatics, supporting diverse research needs.
Area of Science:
- Computational biology
- Structural bioinformatics
- Cheminformatics
Background:
- Computational approaches are crucial for modern life science research, assisting with data analysis, interpretation, and visualization.
- Simulation methods predict physicochemical properties and aid in understanding complex macromolecular phenomena.
Purpose of the Study:
- To provide an overview of computational methods developed to support researchers across all life science disciplines.
- To introduce user-friendly software solutions for common bioinformatics and cheminformatics challenges.
Main Methods:
- Development of an all-in-one web service platform, ProteinsPlus, integrating various prediction and analysis tools.
- Creation of a software package offering tools for cheminformatics tasks (e.g., file conversion, virtual screening) and structural bioinformatics (e.g., inverse screening, pattern searching).
Main Results:
- ProteinsPlus offers solutions for pocket and druggability prediction, hydrogen placement, structure quality assessment, ensemble generation, protein-protein interaction classification, and 2D-interaction visualization.
- The software package facilitates cheminformatics tasks like file format conversion, dataset processing, SMARTS editing, fragment enumeration, and ligand-based virtual screening.
- Structural bioinformatics tools include inverse screening, binding site alignment, and interaction pattern searching across structure libraries.
Conclusions:
- The developed software and web platform provide comprehensive computational support for life science researchers.
- These tools aim to streamline research workflows, from data analysis to prediction and discovery, leveraging state-of-the-art bioinformatics and cheminformatics approaches.
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