4NVI

Predicting protein conformational response in prospective ligand discovery.


Experimental Data Snapshot

  • Method: X-RAY DIFFRACTION
  • Resolution: 1.51 Å
  • R-Value Free: 0.178 
  • R-Value Work: 0.145 
  • R-Value Observed: 0.147 

wwPDB Validation   3D Report Full Report


Ligand Structure Quality Assessment 

Created with Raphaël 2.3.0Worse 01 BetterLigand structure goodness of fit to experimental dataBest fitted HEMClick on this verticalbar to view detailsBest fitted 2NWClick on this verticalbar to view details

This is version 1.2 of the entry. See complete history


Literature

Incorporation of protein flexibility and conformational energy penalties in docking screens to improve ligand discovery.

Fischer, M.Coleman, R.G.Fraser, J.S.Shoichet, B.K.

(2014) Nat Chem 6: 575-583

  • DOI: https://doi.org/10.1038/nchem.1954
  • Primary Citation of Related Structures:  
    4NVA, 4NVB, 4NVC, 4NVD, 4NVE, 4NVF, 4NVG, 4NVH, 4NVI, 4NVJ, 4NVK, 4NVL, 4NVM, 4NVN, 4NVO, 4OQ7

  • PubMed Abstract: 

    Proteins fluctuate between alternative conformations, which presents a challenge for ligand discovery because such flexibility is difficult to treat computationally owing to problems with conformational sampling and energy weighting. Here we describe a flexible docking method that samples and weights protein conformations using experimentally derived conformations as a guide. The crystallographically refined occupancies of these conformations, which are observable in an apo receptor structure, define energy penalties for docking. In a large prospective library screen, we identified new ligands that target specific receptor conformations of a cavity in cytochrome c peroxidase, and we confirm both ligand pose and associated receptor conformation predictions by crystallography. The inclusion of receptor flexibility led to ligands with new chemotypes and physical properties. By exploiting experimental measures of loop and side-chain flexibility, this method can be extended to the discovery of new ligands for hundreds of targets in the Protein Data Bank for which similar experimental information is available.


  • Organizational Affiliation

    1] Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California 94158, USA [2] Faculty of Pharmacy, Donnelly Center, University of Toronto, 160 College St, Toronto, Ontario M5S 3E1 Canada [3].


Macromolecules
Find similar proteins by:  (by identity cutoff)  |  3D Structure
Entity ID: 1
MoleculeChains Sequence LengthOrganismDetailsImage
Cytochrome c peroxidaseA [auth B]289Saccharomyces cerevisiae RM11-1aMutation(s): 2 
Gene Names: CCP1 CCP CPO YKR066CSCRG_04081
EC: 1.11.1
UniProt
Find proteins for B3LRE1 (Saccharomyces cerevisiae (strain RM11-1a))
Explore B3LRE1 
Go to UniProtKB:  B3LRE1
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
UniProt GroupB3LRE1
Sequence Annotations
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  • Reference Sequence
Experimental Data & Validation

Experimental Data

  • Method: X-RAY DIFFRACTION
  • Resolution: 1.51 Å
  • R-Value Free: 0.178 
  • R-Value Work: 0.145 
  • R-Value Observed: 0.147 
  • Space Group: P 21 21 21
Unit Cell:
Length ( Å )Angle ( ˚ )
a = 50.79α = 90
b = 73.5β = 90
c = 104.16γ = 90
Software Package:
Software NamePurpose
XSCALEdata scaling
PHASERphasing
PHENIXrefinement
PDB_EXTRACTdata extraction
ADSCdata collection

Structure Validation

View Full Validation Report



Ligand Structure Quality Assessment 

Created with Raphaël 2.3.0Worse 01 BetterLigand structure goodness of fit to experimental dataBest fitted HEMClick on this verticalbar to view detailsBest fitted 2NWClick on this verticalbar to view details

Entry History 

Deposition Data

Revision History  (Full details and data files)

  • Version 1.0: 2013-12-25
    Type: Initial release
  • Version 1.1: 2015-06-24
    Changes: Database references
  • Version 1.2: 2024-02-28
    Changes: Data collection, Database references, Derived calculations