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5TZO

Computationally Designed Fentanyl Binder - Fen49*-Complex

Summary for 5TZO
Entry DOI10.2210/pdb5tzo/pdb
Related5TVV 5TVY
DescriptorEndo-1,4-beta-xylanase A, N-phenyl-N-[1-(2-phenylethyl)piperidin-4-yl]propanamide, POTASSIUM ION, ... (5 entities in total)
Functional Keywordscomputational design, fentanyl, hydrolase
Biological sourceBacillus subtilis (strain 168)
Total number of polymer chains3
Total formula weight63542.22
Authors
Bick, M.J.,Greisen, P.J.,Morey, K.J.,Antunes, M.S.,La, D.,Sankaran, B.,Reymond, L.,Johnsson, K.,Medford, J.I.,Baker, D. (deposition date: 2016-11-22, release date: 2017-10-04, Last modification date: 2024-03-06)
Primary citationBick, M.J.,Greisen, P.J.,Morey, K.J.,Antunes, M.S.,La, D.,Sankaran, B.,Reymond, L.,Johnsson, K.,Medford, J.I.,Baker, D.
Computational design of environmental sensors for the potent opioid fentanyl.
Elife, 6:-, 2017
Cited by
PubMed Abstract: 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.
PubMed: 28925919
DOI: 10.7554/eLife.28909
PDB entries with the same primary citation
Experimental method
X-RAY DIFFRACTION (1.67 Å)
Structure validation

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