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Toward accurate prediction of amino acid derivatives structure and energetics from DFT: glycine conformers and their interconversions.

Chong ShuZhongming JiangMalgorzata Biczysko
Published in: Journal of molecular modeling (2020)
This work provides the accurate reference data for structural and energetic properties relevant for computational studies of amino acids and polypeptides. Glycine due to its small size allows for detailed theoretical explorations of its whole conformational space. The reference energies are computed at the CCSD(T)/CBS+CV level on the best estimated geometries of all local minima and the transition states. For the minima, we complete the set of reference structures reported in Phys. Chem. Chem. Phys., 2013, 15, 10094, by determining the CCSD(T)/(CBS+CV)MP2 quality geometries for the two highest energy conformers VIIp/tcc and VIIIn/gtc. These data stand as the reference to asses reliability and accuracy of less expensive computational models, with particular focus on dispersion-corrected hybrid and double-hybrid DFT approaches, considering several basis sets of double- and triple-ζ quality. Based on results for minima the B2LYP-D3(BJ)/aug-cc-pVTZ level is set as the reference for transition states geometries. Considering accuracy of both single point energies and structural parameters B2PLYP(-D3BJ) and DSDPBEP86 in conjunction with aug-cc-pVTZ basis set can be recommended for reference studies of amino-acids and small poly-peptides, while B3LYP(-D3(BJ)) shown to be the most robust from considered hybrid DFT approaches. Graphical abstract TOC: Benchmarking DFT for amino acid analogues: highly accurate characterization of energies and structures from full glycine conformational space.
Keyphrases
  • amino acid
  • density functional theory
  • molecular dynamics
  • molecular docking
  • high resolution
  • molecular dynamics simulations
  • big data
  • single molecule
  • mass spectrometry
  • quality improvement