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ProteinCT: An implementation of the protein circuit topology framework

The ability to describe the topology of a folded protein conformation is critically important for functional analysis, protein engineering, and drug design. Circuit topology is a unique topological framework which is widely applicable to protein analysis, yet a state-of-the art implementation of thi...

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Detalles Bibliográficos
Autores principales: Moes, Duane, Banijamali, Elnaz, Sheikhhassani, Vahid, Scalvini, Barbara, Woodard, Jaie, Mashaghi, Alireza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9520010/
https://www.ncbi.nlm.nih.gov/pubmed/36187158
http://dx.doi.org/10.1016/j.mex.2022.101861
Descripción
Sumario:The ability to describe the topology of a folded protein conformation is critically important for functional analysis, protein engineering, and drug design. Circuit topology is a unique topological framework which is widely applicable to protein analysis, yet a state-of-the art implementation of this concept is lacking. Here, we present an open-source Python-implemented circuit topology tool called ProteinCT. The platform provides a method for acquiring, visualizing, analyzing, and quantifying circuit topology data from proteins of interest. We mapped the universe of human proteins to a circuit topology space using conventional hardware within a few hours, demonstrating the performance of ProteinCT. In brief, • A Python-implemented circuit topology tool is developed to extract global and local topological information from a protein structure file. • Modules are developed to combine topological information with geometric and energetic information. • It is demonstrated that the method can be efficiently applied to a large set of proteins, opening a wide range of possibilities for structural proteomics research.