Structural highlights
Function
XYNA_BACSU
Publication Abstract from PubMed
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.
Computational design of environmental sensors for the potent opioid fentanyl.,Bick MJ, Greisen PJ, Morey KJ, Antunes MS, La D, Sankaran B, Reymond L, Johnsson K, Medford JI, Baker D Elife. 2017 Sep 19;6. pii: e28909. doi: 10.7554/eLife.28909. PMID:28925919[1]
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.
References
- ↑ Bick MJ, Greisen PJ, Morey KJ, Antunes MS, La D, Sankaran B, Reymond L, Johnsson K, Medford JI, Baker D. Computational design of environmental sensors for the potent opioid fentanyl. Elife. 2017 Sep 19;6. pii: e28909. doi: 10.7554/eLife.28909. PMID:28925919 doi:http://dx.doi.org/10.7554/eLife.28909