ArticleComputational and structural biotechnology journal2025
pyCAST, a Python package for the detection of cavities on surface proteins.
Article in Computational and structural biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Identifying enzymatic activity sites, signal transduction pathways, and binding sites is crucial in biochemical research, prompting various methodologies. This study introduces pyCAST, a Python package designed to detect cavities on protein surfaces using the CAST methodology, a widely recognized approach for cavity identification. The paper describes the principle of the CAST methods and presents our implementation, including the results achieved over benchmark data sets. Furthermore, it discusses the limitations of the technique and potential future improvements. pyCAST is user-friendly, modular, adaptable to diverse applications, and openly available under the MIT license.
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