Different combinations of forcefield and implicit solvation models were compared against their ability to predict the native conformation of a selection of helical peptides, β-hairpins and intrinsically disordered peptides (IDP), using Replica Exchange Molecular Dynamics (REMD) simulations.[1] A unique combination of force field and implicit solvent model able to accurately predict the experimental structure of all the considered systems was not found. However, we observed that that the force fields of the ff99SB series coupled with GB-Neck2 reasonably discriminated helices from IDPs. Conversely, a decent prediction of β-hairpin conformations was achieved by combining the ff96 forcefield with either GC-OBC(II) or GB-Neck2 solvent models. Consequently, in order to achieve a true prediction of an unknown peptide, a set of two different simulations are suggested: the first using any of the ff99SB/ildn/ildn-φ force fields coupled to GB-Neck2, the second using the ff96 force field coupled to GB-Neck2 or GB-OBC(II). Using this knowhow, we applied REMD simulations to predict the conformation of different bioactive or potentially bioactive peptides containing non-natural amino acids. In particular, we will discuss examples concerning helical peptides,[2] cyclopeptides,[3] β-hairpins,[4] and γ-turns.[5]

Replica exchange molecular dynamic simulations for the conformational analyses of synthetic peptides / A. Contini, R. Bucci, E. Occhiato, M.L. Gelmi. ((Intervento presentato al convegno Peptides and conjugates for tumor targeting, therapy and diagnosis - RiminiPeptides2018 tenutosi a Rimini nel 2018.

Replica exchange molecular dynamic simulations for the conformational analyses of synthetic peptides

A. Contini
Primo
;
R. Bucci;M.L. Gelmi
2018

Abstract

Different combinations of forcefield and implicit solvation models were compared against their ability to predict the native conformation of a selection of helical peptides, β-hairpins and intrinsically disordered peptides (IDP), using Replica Exchange Molecular Dynamics (REMD) simulations.[1] A unique combination of force field and implicit solvent model able to accurately predict the experimental structure of all the considered systems was not found. However, we observed that that the force fields of the ff99SB series coupled with GB-Neck2 reasonably discriminated helices from IDPs. Conversely, a decent prediction of β-hairpin conformations was achieved by combining the ff96 forcefield with either GC-OBC(II) or GB-Neck2 solvent models. Consequently, in order to achieve a true prediction of an unknown peptide, a set of two different simulations are suggested: the first using any of the ff99SB/ildn/ildn-φ force fields coupled to GB-Neck2, the second using the ff96 force field coupled to GB-Neck2 or GB-OBC(II). Using this knowhow, we applied REMD simulations to predict the conformation of different bioactive or potentially bioactive peptides containing non-natural amino acids. In particular, we will discuss examples concerning helical peptides,[2] cyclopeptides,[3] β-hairpins,[4] and γ-turns.[5]
giu-2018
Molecular Dynamics; Enhanced Sampling; Peptides
Settore CHIM/06 - Chimica Organica
https://events.unibo.it/international-chemistry-meeting-rimini-2018/program
Replica exchange molecular dynamic simulations for the conformational analyses of synthetic peptides / A. Contini, R. Bucci, E. Occhiato, M.L. Gelmi. ((Intervento presentato al convegno Peptides and conjugates for tumor targeting, therapy and diagnosis - RiminiPeptides2018 tenutosi a Rimini nel 2018.
Conference Object
File in questo prodotto:
File Dimensione Formato  
Alessandro_Contini_L.pdf

accesso riservato

Tipologia: Post-print, accepted manuscript ecc. (versione accettata dall'editore)
Dimensione 234.85 kB
Formato Adobe PDF
234.85 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/606324
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact