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MAGPIE: An interactive tool for visualizing and analyzing protein-ligand interactions.
Rodriguez, Daniel C Pineda; Weber, Kyle C; Sundberg, Belen; Glasgow, Anum.
Afiliação
  • Rodriguez DCP; Department of Biochemistry and Molecular Biophysics, Columbia University Irving Medical Center, New York, New York, USA.
  • Weber KC; Department of Biochemistry and Molecular Biophysics, Columbia University Irving Medical Center, New York, New York, USA.
  • Sundberg B; Department of Biochemistry and Molecular Biophysics, Columbia University Irving Medical Center, New York, New York, USA.
  • Glasgow A; Department of Biochemistry and Molecular Biophysics, Columbia University Irving Medical Center, New York, New York, USA.
Protein Sci ; 33(8): e5027, 2024 Aug.
Article em En | MEDLINE | ID: mdl-38989559
ABSTRACT
Quantitative tools to compile and analyze biomolecular interactions among chemically diverse binding partners would improve therapeutic design and aid in studying molecular evolution. Here we present Mapping Areas of Genetic Parsimony In Epitopes (MAGPIE), a publicly available software package for simultaneously visualizing and analyzing thousands of interactions between a single protein or small molecule ligand (the "target") and all of its protein binding partners ("binders"). MAGPIE generates an interactive three-dimensional visualization from a set of protein complex structures that share the target ligand, as well as sequence logo-style amino acid frequency graphs that show all the amino acids from the set of protein binders that interact with user-defined target ligand positions or chemical groups. MAGPIE highlights all the salt bridge and hydrogen bond interactions made by the target in the visualization and as separate amino acid frequency graphs. Finally, MAGPIE collates the most common target-binder interactions as a list of "hotspots," which can be used to analyze trends or guide the de novo design of protein binders. As an example of the utility of the program, we used MAGPIE to probe how different antibody fragments bind a viral antigen; how a common metabolite binds diverse protein partners; and how two ligands bind orthologs of a well-conserved glycolytic enzyme for a detailed understanding of evolutionarily conserved interactions involved in its activation and inhibition. MAGPIE is implemented in Python 3 and freely available at https//github.com/glasgowlab/MAGPIE, along with sample datasets, usage examples, and helper scripts to prepare input structures.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Proteínas Idioma: En Revista: Protein Sci Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Proteínas Idioma: En Revista: Protein Sci Ano de publicação: 2024 Tipo de documento: Article