2N9A

3D Structure of Decoralin-NH2 by Solution NMR


Experimental Data Snapshot

  • Method: SOLUTION NMR
  • Conformers Calculated: 40 
  • Conformers Submitted: 20 
  • Selection Criteria: target function 

wwPDB Validation   3D Report Full Report


This is version 1.3 of the entry. See complete history


Literature

MD simulations and multivariate studies for modeling the antileishmanial activity of peptides.

Guerra, M.E.R.Fadel, V.Maltarollo, V.G.Baldissera, G.Honorio, K.M.Ruggiero, J.R.Dos Santos Cabrera, M.P.

(2017) Chem Biol Drug Des 90: 501-510

  • DOI: https://doi.org/10.1111/cbdd.12970
  • Primary Citation of Related Structures:  
    2N9A

  • PubMed Abstract: 

    Leishmaniasis, a protozoan-caused disease, requires alternative treatments with minimized side-effects and less prone to resistance development. Antimicrobial peptides represent a possible choice to be developed. We report on the prospection of structural parameters of 23 helical antimicrobial and leishmanicidal peptides as a tool for modeling and predicting the activity of new peptides. This investigation is based on molecular dynamic simulations (MD) in mimetic membrane environment, as most of these peptides share the feature of interacting with phospholipid bilayers. To overcome the lack of experimental data on peptides' structures, we started simulations from designed 100% α-helices. This procedure was validated through comparisons with NMR data and the determination of the structure of Decoralin-amide. From physicochemical features and MD results, descriptors were raised and statistically related to the minimum inhibitory concentration against Leishmania by the multivariate data analysis technique. This statistical procedure confirmed five descriptors combined by different loadings in five principal components. The leishmanicidal activity depends on peptides' charge, backbone solvation, volume, and solvent-accessible surface area. The generated model possesses good predictability (q 2  = 0.715, r 2  = 0.898) and is indicative for the most and the least active peptides. This is a novel theoretical path for structure-activity studies combining computational methods that identify and prioritize the promising peptide candidates.


  • Organizational Affiliation

    Departamento de Física, Universidade Estadual Paulista, São José do Rio Preto, SP, Brazil.


Macromolecules

Find similar proteins by:  Sequence   |   3D Structure  

Entity ID: 1
MoleculeChains Sequence LengthOrganismDetailsImage
Decoralin12Oreumenes decoratusMutation(s): 1 
Membrane Entity: Yes 
UniProt
Find proteins for P85870 (Oreumenes decoratus)
Explore P85870 
Go to UniProtKB:  P85870
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
UniProt GroupP85870
Sequence Annotations
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  • Reference Sequence
Experimental Data & Validation

Experimental Data

  • Method: SOLUTION NMR
  • Conformers Calculated: 40 
  • Conformers Submitted: 20 
  • Selection Criteria: target function 

Structure Validation

View Full Validation Report



Entry History 

Deposition Data

Revision History  (Full details and data files)

  • Version 1.0: 2016-11-16
    Type: Initial release
  • Version 1.1: 2017-03-22
    Changes: Database references
  • Version 1.2: 2017-09-20
    Changes: Database references
  • Version 1.3: 2023-06-14
    Changes: Database references, Derived calculations, Other