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Updated: Sep 11, 2025
08:21
Curation of Computational Chemical Libraries Demonstrated with Alpha-Amino Acids
Published on: April 13, 2022
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alchemlyb: the simple alchemistry library
Zhiyi Wu1, David L Dotson2,3, Irfan Alibay4
1Exscientia plc, Schroedinger Building, Oxford, United Kingdom.
Journal of Open Source Software
|August 18, 2025
Summary
alchemlyb is an open-source Python package simplifying alchemical free energy calculations for drug discovery. It offers tools for data analysis, preprocessing, and quality assessment, making complex methods accessible to more researchers.
Area of Science:
- Computational Chemistry
- Computational Biology
- Drug Discovery
Background:
- Alchemical free energy calculations are crucial in computational chemistry and biology, particularly for drug discovery.
- Analyzing these calculations involves complex workflows from data extraction to final estimations.
Purpose of the Study:
- To introduce alchemlyb, an open-source Python package designed for the analysis of alchemical free energy calculations.
- To provide a user-friendly tool that simplifies complex free energy analysis workflows.
Main Methods:
- alchemlyb offers composable building blocks for data extraction from various molecular simulation packages.
- Includes preprocessing steps like time series decorrelation and utilizes diverse estimators for free energy derivation.
- Provides quality analysis tools for convergence checking and visualization.
Main Results:
- The package integrates these building blocks into high-level, end-to-end workflows.
- These workflows streamline the analysis pipeline from initial data input to final results.
- Enhances accessibility for researchers across diverse scientific backgrounds.
Conclusions:
- alchemlyb effectively democratizes the use of alchemical free energy calculations.
- It empowers researchers beyond computational chemistry specialists to perform these analyses.
- Facilitates more efficient drug discovery and molecular modeling research.
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