Abstract:Conformational preferences of amino acid residues in water are determined by the backbone and side-chain properties. Alanine is known for its high polyproline II (pPII) propensity. The question of relative contributions of the backbone and side chain to the conformational preferences of alanine and other amino acid residues in water is not fully resolved. Because glycine lacks a heavy-atom side chain, glycine-based peptides can be used to examine to which extent the backbone properties affect the conformationa… Show more
“…28 The results revealed that pPII is driven by the tendency of water to maximize the number of hydrogen bonds between water and the functional groups of the central glycine, demonstrating that high pPII preference of amino acid residues stems from the water-backbone interactions. 28 Interestingly, Amber ff14SB was outperformed by the other two force fields with respect to its capacity to capture conformational dynamics of glycine residue in water. 28 Several recent studies revealed that CHARMM36m combined with its specialized TIP3P water model performs better than the other additive force fields, although there is still room for improvement.…”
Section: Introductionmentioning
confidence: 92%
“…26 A follow-up study, Andrews et al asked whether alanine's preference for the pPII state stems from the backbone or alanine's side chain characteristics. 28 To this end, the experiment-based Gaussian modeling was applied to the central glycine residue in cationic GGG as a model of a peptide backbone, followed by the corresponding assessment of Amber ff14SB (with TIP3P), OPLS-AA/M (with TIP4P), and CHARMM36m (with the respective TIP3P model). 28 The results revealed that pPII is driven by the tendency of water to maximize the number of hydrogen bonds between water and the functional groups of the central glycine, demonstrating that high pPII preference of amino acid residues stems from the water-backbone interactions.…”
Section: Introductionmentioning
confidence: 99%
“…28 To this end, the experiment-based Gaussian modeling was applied to the central glycine residue in cationic GGG as a model of a peptide backbone, followed by the corresponding assessment of Amber ff14SB (with TIP3P), OPLS-AA/M (with TIP4P), and CHARMM36m (with the respective TIP3P model). 28 The results revealed that pPII is driven by the tendency of water to maximize the number of hydrogen bonds between water and the functional groups of the central glycine, demonstrating that high pPII preference of amino acid residues stems from the water-backbone interactions. 28 Interestingly, Amber ff14SB was outperformed by the other two force fields with respect to its capacity to capture conformational dynamics of glycine residue in water.…”
Molecular dynamics (MD) is a powerful tool for studying intrinsically disordered proteins, however, its reliability depends on the accuracy of the force field. We here assess Amber ff14SB, Amber ff14SB,...
“…28 The results revealed that pPII is driven by the tendency of water to maximize the number of hydrogen bonds between water and the functional groups of the central glycine, demonstrating that high pPII preference of amino acid residues stems from the water-backbone interactions. 28 Interestingly, Amber ff14SB was outperformed by the other two force fields with respect to its capacity to capture conformational dynamics of glycine residue in water. 28 Several recent studies revealed that CHARMM36m combined with its specialized TIP3P water model performs better than the other additive force fields, although there is still room for improvement.…”
Section: Introductionmentioning
confidence: 92%
“…26 A follow-up study, Andrews et al asked whether alanine's preference for the pPII state stems from the backbone or alanine's side chain characteristics. 28 To this end, the experiment-based Gaussian modeling was applied to the central glycine residue in cationic GGG as a model of a peptide backbone, followed by the corresponding assessment of Amber ff14SB (with TIP3P), OPLS-AA/M (with TIP4P), and CHARMM36m (with the respective TIP3P model). 28 The results revealed that pPII is driven by the tendency of water to maximize the number of hydrogen bonds between water and the functional groups of the central glycine, demonstrating that high pPII preference of amino acid residues stems from the water-backbone interactions.…”
Section: Introductionmentioning
confidence: 99%
“…28 To this end, the experiment-based Gaussian modeling was applied to the central glycine residue in cationic GGG as a model of a peptide backbone, followed by the corresponding assessment of Amber ff14SB (with TIP3P), OPLS-AA/M (with TIP4P), and CHARMM36m (with the respective TIP3P model). 28 The results revealed that pPII is driven by the tendency of water to maximize the number of hydrogen bonds between water and the functional groups of the central glycine, demonstrating that high pPII preference of amino acid residues stems from the water-backbone interactions. 28 Interestingly, Amber ff14SB was outperformed by the other two force fields with respect to its capacity to capture conformational dynamics of glycine residue in water.…”
Molecular dynamics (MD) is a powerful tool for studying intrinsically disordered proteins, however, its reliability depends on the accuracy of the force field. We here assess Amber ff14SB, Amber ff14SB,...
“…Stoichiometric amounts of Clatoms are added to ensure electroneutrality. Each 500 ns long trajectory is acquired using the velocity rescale thermostat 25 and the Berendsen barostat. 26 In order to assess the MD-based Ramachandran distributions we calculated the occupation of mesostates that cover populated regions of the Ramachandran plot.…”
Section: Simulations and Mesostate Calculationsmentioning
confidence: 99%
“…Backbone and side chain interactions with the solvent cause the intrinsic conformational propensities of amino acids to differ significantly. [23][24][25][26] Residues preferably sample the upper left quadrant of the Ramachandran plot (between 70 and 80%). [27][28][29][30][31] The remaining 20-30% are generally distributed over several turn-like conformations.…”
Intrinsically disordered proteins are rich in charged and deficient in hydrophobic residues. High net charges of disordered protein segments favor statistical coil ensembles which are more extended than a self-avoiding random coil. It is unclear whether the chain extension solely reflects the avoidance of non-local interactions or also local nearest neighbor interactions provide significant contributions. The relevance of nearest neighbor interactions, which are neglected in random coil models, has been emphasized in the literature, but only sporadically considered in molecular modellings of disordered proteins and peptides. We determined the Ramachandran distributions of protonated arginine in GRRG and GRRRG peptides. Our results reveal the contribution of nearest neighbor interactions to the extended conformations reported for a variety of poly-arginine protein segments.
The usage of glass beads as heterogeneous additives for the crystallization of glycine homopeptides is investigated, whereby glass beads are shown experimentally to increase the rate of crystallization. Induction time analysis indicates that the presence of glass beads acts enhances the kinetic factor for nucleation. These results are compared to those previously obtained by the authors for glycine and diglycine, and it is demonstrated that the increase in nucleation rate is proportional to the peptide chain length. Molecular dynamics simulations confirm that larger molecules exhibit faster nucleation in the presence of glass beads due to an increased number of interactions as observed with the longest hydrogen bond lifetime for triglycine, followed by diglycine and glycine.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.