Abstract
The “A proliferation inducing ligand” protein (APRIL) is a cytokine over-expressed in many transformed and tumoral cells acting onto two distinct receptors of the Tumoral Necrosis Factor B cell maturation antigen (BCMA) and the transmembrane activator and calcium modulator and cyclophilin ligand interactor (TACI). We herein describe, through a detailed computational approach, the molecular interactions between TACI and its ligands APRIL and another structurally similar protein called B-cell activating factor (BAFF) by means of molecular dynamics. Dynamical analysis suggests R84 and D85 residues from TACI as possible mutation candidates, yielding increased affinity between TACI and APRIL. The association of computational simulations, site directed mutagenesis and peptide design could be a powerful tool, driving to better in vitro experiments. Our results contribute to the elucidation of APRIL signaling and help clarify the effects of blocking interaction between APRIL and its receptors through the use of particular peptides.
Keywords: Alanine scanning mutagenesis, APRIL, ELISA, molecular dynamics, TACI, TNF.
Graphical Abstract
Protein & Peptide Letters
Title:In Silico Identification of Novel APRIL Peptide Antagonists and Binding Insights by Molecular Modeling and Immunosorbent Assays
Volume: 22 Issue: 5
Author(s): Joao H.M. da Silva, Flavia Calmon-Hamaty, Wilson Savino, Michael Hahne and Ernesto R. Caffarena
Affiliation:
Keywords: Alanine scanning mutagenesis, APRIL, ELISA, molecular dynamics, TACI, TNF.
Abstract: The “A proliferation inducing ligand” protein (APRIL) is a cytokine over-expressed in many transformed and tumoral cells acting onto two distinct receptors of the Tumoral Necrosis Factor B cell maturation antigen (BCMA) and the transmembrane activator and calcium modulator and cyclophilin ligand interactor (TACI). We herein describe, through a detailed computational approach, the molecular interactions between TACI and its ligands APRIL and another structurally similar protein called B-cell activating factor (BAFF) by means of molecular dynamics. Dynamical analysis suggests R84 and D85 residues from TACI as possible mutation candidates, yielding increased affinity between TACI and APRIL. The association of computational simulations, site directed mutagenesis and peptide design could be a powerful tool, driving to better in vitro experiments. Our results contribute to the elucidation of APRIL signaling and help clarify the effects of blocking interaction between APRIL and its receptors through the use of particular peptides.
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Cite this article as:
da Silva Joao H.M., Calmon-Hamaty Flavia, Savino Wilson, Hahne Michael and R. Caffarena Ernesto, In Silico Identification of Novel APRIL Peptide Antagonists and Binding Insights by Molecular Modeling and Immunosorbent Assays, Protein & Peptide Letters 2015; 22 (5) . https://dx.doi.org/10.2174/0929866522666150302124953
DOI https://dx.doi.org/10.2174/0929866522666150302124953 |
Print ISSN 0929-8665 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5305 |
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