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In silico generation of peptides by replica exchange Monte Carlo: Docking-based optimization of maltose-binding-protein ligands
Anna Russo, Pasqualina Liana Scognamiglio, Rolando Pablo Hong Enriquez, Carlo Santambrogio, Rita Grandori, Daniela Marasco, Antonio Giordano, Giacinto Scoles, Sara Fortuna, 2015, original scientific article

Abstract: Short peptides can be designed in silico and synthesized through automated techniques, making them advantageous and versatile protein binders. A number of docking-based algorithms allow for a computational screening of peptides as binders. Here we developed ex-novo peptides targeting the maltose site of the Maltose Binding Protein, the prototypical system for the study of protein ligand recognition. We used a Monte Carlo based protocol, to computationally evolve a set of octapeptides starting from a polialanine sequence. We screened in silico the candidate peptides and characterized their binding abilities by surface plasmon resonance, fluorescence and electrospray ionization mass spectrometry assays. These experiments showed the designed binders to recognize their target with micromolar affinity. We finally discuss the obtained results in the light of further improvement in the ex-novo optimization of peptide based binders.
Found in: osebi
Keywords: peptides, docking, optimisation, computation, maltose binding protein, probe, ligand
Published: 12.10.2016; Views: 2391; Downloads: 97
.pdf Fulltext (4,27 MB)

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