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references.bib
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@journalArticle{alievMotionalTimescalePredictions2014,
rights = {cc by},
url = {https://europepmc.org/articles/PMC4282583},
extra = {PMID: 23818175
PMCID: PMC4282583},
issue = {2},
libraryCatalog = {Europe PMC},
year = {2014},
accessDate = {2022-11-14 11:12:12},
language = {eng},
date = {2014-02-01 2014-02-01},
pages = {195-215},
publicationTitle = {Proteins},
DOI = {10.1002/prot.24350},
journalAbbreviation = {Proteins},
ISSN = {1097-0134},
shortTitle = {Motional timescale predictions by molecular dynamics simulations},
title = {Motional timescale predictions by molecular dynamics simulations: case study using proline and hydroxyproline sidechain dynamics},
author = {Aliev, Abil E and Kulke, Martin and Khaneja, Harmeet S and Chudasama, Vijay and Sheppard, Tom D and Lanigan, Rachel M},
volume = {82},
abstractNote = {We propose a new approach for force field optimizations which aims at reproducing dynamics characteristics using biomolecular MD simulations, in addition to improved prediction of motionally averaged structural properties available from experiment. As the source of experimental data for dynamics fittings, we use (13) C NMR spin-lattice relaxation times T1 of backbone and sidechain carbons, which allow to determine correlation times of both overall molecular and intramolecular motions. For structural fittings, we use motionally averaged experimental values of NMR J couplings. The proline residue and its derivative 4-hydroxyproline with relatively simple cyclic structure and sidechain dynamics were chosen for the assessment of the new approach in this work. Initially, grid search and simplexed MD simulations identified large number of parameter sets which fit equally well experimental J couplings. Using the Arrhenius-type relationship between the force constant and the correlation time, the available MD data for a series of parameter sets were analyzed to predict the value of the force constant that best reproduces experimental timescale of the sidechain dynamics. Verification of the new force-field (termed as AMBER99SB-ILDNP) against NMR J couplings and correlation times showed consistent and significant improvements compared to the original force field in reproducing both structural and dynamics properties. The results suggest that matching experimental timescales of motions together with motionally averaged characteristics is the valid approach for force field parameter optimization. Such a comprehensive approach is not restricted to cyclic residues and can be extended to other amino acid residues, as well as to the backbone.},
}
@journalArticle{cornellSecondGenerationForce1995,
url = {https://doi.org/10.1021/ja00124a002},
extra = {Publisher: American Chemical Society},
issue = {19},
libraryCatalog = {ACS Publications},
year = {1995},
accessDate = {2024-06-02 08:31:02},
date = {1995-05-01 1995-05-01},
pages = {5179-5197},
publicationTitle = {Journal of the American Chemical Society},
DOI = {10.1021/ja00124a002},
journalAbbreviation = {J. Am. Chem. Soc.},
ISSN = {0002-7863},
author = {Cornell, Wendy D. and Cieplak, Piotr and Bayly, Christopher I. and Gould, Ian R. and Merz, Kenneth M. and Ferguson, David M. and Spellmeyer, David C. and Fox, Thomas and Caldwell, James W. and Kollman, Peter A.},
volume = {117},
title = {A Second Generation Force Field for the Simulation of Proteins, Nucleic Acids, and Organic Molecules},
}
@computerProgram{allaireQuarto2022c,
date = {2022-01-00 2022-1},
title = {Quarto},
url = {https://github.com/quarto-dev/quarto-cli},
extra = {DOI: 10.5281/zenodo.5960048},
author = {Allaire, J.J. and Teague, Charles and Scheidegger, Carlos and Xie, Yihui and Dervieux, Christophe},
year = {2022},
versionNumber = {0.3},
}