Cargando…

Computational design of environmental sensors for the potent opioid fentanyl

We describe the computational design of proteins that bind the potent analgesic fentanyl. Our approach employs a fast docking algorithm to find shape complementary ligand placement in protein scaffolds, followed by design of the surrounding residues to optimize binding affinity. Co-crystal structure...

Descripción completa

Detalles Bibliográficos
Autores principales: Bick, Matthew J, Greisen, Per J, Morey, Kevin J, Antunes, Mauricio S, La, David, Sankaran, Banumathi, Reymond, Luc, Johnsson, Kai, Medford, June I, Baker, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5655540/
https://www.ncbi.nlm.nih.gov/pubmed/28925919
http://dx.doi.org/10.7554/eLife.28909
Descripción
Sumario:We describe the computational design of proteins that bind the potent analgesic fentanyl. Our approach employs a fast docking algorithm to find shape complementary ligand placement in protein scaffolds, followed by design of the surrounding residues to optimize binding affinity. Co-crystal structures of the highest affinity binder reveal a highly preorganized binding site, and an overall architecture and ligand placement in close agreement with the design model. We use the designs to generate plant sensors for fentanyl by coupling ligand binding to design stability. The method should be generally useful for detecting toxic hydrophobic compounds in the environment.