9RPL | pdb_00009rpl

Lactobacillus acidophilus SlpA self assembly domains I-II (aa 49-308)


Experimental Data Snapshot

  • Method: X-RAY DIFFRACTION
  • Resolution: 1.93 Å
  • R-Value Free: 
    0.243 (Depositor), 0.241 (DCC) 
  • R-Value Work: 
    0.204 (Depositor), 0.206 (DCC) 
  • R-Value Observed: 
    0.206 (Depositor) 

Starting Models: experimental
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wwPDB Validation 3D Report Full Report

Validation slider image for 9RPL

This is version 1.0 of the entry. See complete history

Literature

Guiding AlphaFold predictions with experimental knowledge to inform dynamics and interactions with VAIRO.

Trivino, J.Jimenez, E.Grininger, C.Caballero, I.Medina, A.Castellvi, A.Petrillo, G.Govantes, F.Sagmeister, T.Alcorlo, M.Hermoso, J.A.Sammito, M.D.Diederichs, K.Pavkov-Keller, T.Uson, I.

(2026) Protein Sci 35: e70481-e70481

  • DOI: https://doi.org/10.1002/pro.70481
  • Primary Citation Related Structures: 
    9RPL

  • PubMed Abstract: 

    Structural predictions have reached unprecedented accuracy. They leverage sequence-specific data to capture all potential interactions a sequence has evolved to fulfill. AlphaFold derives information from three sources: learned parameters capturing intrinsic amino acid secondary structure and environment propensity; models of related proteins providing structural templates; and aligned sequences encoding profiles and concerted evolutionary changes of residues involved in contacts. However, function demands dynamic changes; hence not all possible interactions can coexist simultaneously. Comprehensive information entails contradictions, which resolved in favor of the better-informed structure will silence less stable states and associations. Here, we introduce a method using all three channels to include prior knowledge: site-specific variants, predefined alignments and templates. Selecting information relevant to a particular state delimits the functional context of a prediction. Our program VAIRO allows us to rescue asymmetric and weaker interactions to complete the view of molecular assemblies in the architecture of a bacterial surface layer, and reveals otherwise inaccessible dynamic states in a pneumococcal multimeric membrane protein complex. VAIRO is distributed via the python package index (PyPI) (https://pypi.org/project/vairo) and the code is also available on Github (https://github.com/arcimboldo-team/vairo).


  • Organizational Affiliation
    • Department of Structural Biology, Instituto de Biología Molecular de Barcelona (IBMB-CSIC), Barcelona, Spain.

Macromolecule Content 

  • Total Structure Weight: 56.32 kDa 
  • Atom Count: 4,074 
  • Modeled Residue Count: 523 
  • Deposited Residue Count: 540 
  • Unique protein chains: 1

Macromolecules

Find similar proteins by:|  3D Structure
Entity ID: 1
MoleculeChains  Sequence LengthOrganismDetailsImage
S-layer protein
A, B
270Lactobacillus acidophilus NCFMMutation(s): 0 
Gene Names: slpALBA0169
UniProt
Find proteins for P35829 (Lactobacillus acidophilus (strain ATCC 700396 / NCK56 / N2 / NCFM))
Explore P35829 
Go to UniProtKB:  P35829
Entity Groups
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
UniProt GroupP35829
Sequence Annotations
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Reference Sequence

Experimental Data & Validation

Experimental Data

  • Method: X-RAY DIFFRACTION
  • Resolution: 1.93 Å
  • R-Value Free:  0.243 (Depositor), 0.241 (DCC) 
  • R-Value Work:  0.204 (Depositor), 0.206 (DCC) 
  • R-Value Observed: 0.206 (Depositor) 
Space Group: C 1 2 1
Unit Cell:
Length ( Å )Angle ( ˚ )
a = 149.069α = 90
b = 50.559β = 113.94
c = 118.638γ = 90
Software Package:
Software NamePurpose
PHENIXrefinement
autoPROCdata reduction
STARANISOdata scaling
PHASERphasing

Structure Validation

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Entry History 

& Funding Information

Deposition Data


Funding OrganizationLocationGrant Number
Austrian Science FundAustriaDOC 130

Revision History  (Full details and data files)

  • Version 1.0: 2026-02-04
    Type: Initial release