6PER

Crystal Structure of Ligand-Free iSeroSnFR


Experimental Data Snapshot

  • Method: X-RAY DIFFRACTION
  • Resolution: 2.10 Å
  • R-Value Free: 0.232 
  • R-Value Work: 0.188 
  • R-Value Observed: 0.190 

wwPDB Validation   3D Report Full Report


This is version 1.3 of the entry. See complete history


Literature

Directed Evolution of a Selective and Sensitive Serotonin Sensor via Machine Learning.

Unger, E.K.Keller, J.P.Altermatt, M.Liang, R.Matsui, A.Dong, C.Hon, O.J.Yao, Z.Sun, J.Banala, S.Flanigan, M.E.Jaffe, D.A.Hartanto, S.Carlen, J.Mizuno, G.O.Borden, P.M.Shivange, A.V.Cameron, L.P.Sinning, S.Underhill, S.M.Olson, D.E.Amara, S.G.Temple Lang, D.Rudnick, G.Marvin, J.S.Lavis, L.D.Lester, H.A.Alvarez, V.A.Fisher, A.J.Prescher, J.A.Kash, T.L.Yarov-Yarovoy, V.Gradinaru, V.Looger, L.L.Tian, L.

(2020) Cell 183: 1986-2002.e26

  • DOI: https://doi.org/10.1016/j.cell.2020.11.040
  • Primary Citation of Related Structures:  
    6PER

  • PubMed Abstract: 

    Serotonin plays a central role in cognition and is the target of most pharmaceuticals for psychiatric disorders. Existing drugs have limited efficacy; creation of improved versions will require better understanding of serotonergic circuitry, which has been hampered by our inability to monitor serotonin release and transport with high spatial and temporal resolution. We developed and applied a binding-pocket redesign strategy, guided by machine learning, to create a high-performance, soluble, fluorescent serotonin sensor (iSeroSnFR), enabling optical detection of millisecond-scale serotonin transients. We demonstrate that iSeroSnFR can be used to detect serotonin release in freely behaving mice during fear conditioning, social interaction, and sleep/wake transitions. We also developed a robust assay of serotonin transporter function and modulation by drugs. We expect that both machine-learning-guided binding-pocket redesign and iSeroSnFR will have broad utility for the development of other sensors and in vitro and in vivo serotonin detection, respectively.


  • Organizational Affiliation

    Departments of Biochemistry and Molecular Medicine, Chemistry, Statistics, Molecular and Cellular Biology, and Physiology and Membrane Biology, the Center for Neuroscience, and Graduate Programs in Molecular, Cellular, and Integrative Physiology, Biochemistry, Molecular, Cellular and Developmental Biology and Neuroscience, University of California, Davis, Davis, CA 95616, USA.


Macromolecules
Find similar proteins by:  (by identity cutoff)  |  3D Structure
Entity ID: 1
MoleculeChains Sequence LengthOrganismDetailsImage
iSeroSnFR, a soluble, genetically-encoded fluorescent sensor for serotonin555Thermoanaerobacter sp. X513Mutation(s): 0 
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
Sequence Annotations
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  • Reference Sequence
Experimental Data & Validation

Experimental Data

  • Method: X-RAY DIFFRACTION
  • Resolution: 2.10 Å
  • R-Value Free: 0.232 
  • R-Value Work: 0.188 
  • R-Value Observed: 0.190 
  • Space Group: I 2 2 2
Unit Cell:
Length ( Å )Angle ( ˚ )
a = 80.672α = 90
b = 99.255β = 90
c = 150.558γ = 90
Software Package:
Software NamePurpose
PHENIXrefinement
XDSdata reduction
Aimlessdata scaling
PHASERphasing

Structure Validation

View Full Validation Report



Entry History & Funding Information

Deposition Data


Funding OrganizationLocationGrant Number
National Institutes of Health/National Institute of Neurological Disorders and Stroke (NIH/NINDS)United StatesU01NS090604
National Institutes of Health/National Institute of Neurological Disorders and Stroke (NIH/NINDS)United States5U01NS103522-02
National Institutes of Health/Office of the DirectorUnited States1DP2MH107056

Revision History  (Full details and data files)

  • Version 1.0: 2020-06-24
    Type: Initial release
  • Version 1.1: 2021-01-06
    Changes: Database references
  • Version 1.2: 2023-10-11
    Changes: Data collection, Database references, Refinement description
  • Version 1.3: 2023-11-15
    Changes: Data collection