ESCASA : Analytical estimation of atomic coordinates from coarse-grained geometry for nuclear-magnetic-resonance-assisted protein structure modeling. I. Backbone and Hβ protons

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Détails bibliographiques
Publié dans:Journal of computational chemistry. - 1984. - 42(2021), 22 vom: 15. Aug., Seite 1579-1589
Auteur principal: Lubecka, Emilia A (Auteur)
Autres auteurs: Liwo, Adam
Format: Article en ligne
Langue:English
Publié: 2021
Accès à la collection:Journal of computational chemistry
Sujets:Journal Article Research Support, Non-U.S. Gov't coarse graining data-assisted molecular modeling nuclear magnetic resonance proteins Proteins
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520 |a A method for the estimation of coordinates of atoms in proteins from coarse-grained geometry by simple analytical formulas (ESCASA), for use in nuclear-magnetic-resonance (NMR) data-assisted coarse-grained simulations of proteins is proposed. In this paper, the formulas for the backbone Hα and amide (HN ) protons, and the side-chain Hβ protons, given the Cα -trace, have been derived and parameterized, by using the interproton distances calculated from a set of 140 high-resolution non-homologous protein structures. The mean standard deviation over all types of proton pairs in the set was 0.44 Å after fitting. Validation against a set of 41 proteins with NMR-determined structures, which were not considered in parameterization, resulted in average standard deviation from average proton-proton distances of the NMR-determined structures of 0.25 Å, compared to 0.21 Å obtained with the PULCHRA all-atom-chain reconstruction algorithm and to the 0.12 Å standard deviation of the average-structure proton-proton distance of NMR-determined ensembles. The formulas provide analytical forces and can, therefore, be used in coarse-grained molecular dynamics 
650 4 |a Journal Article 
650 4 |a Research Support, Non-U.S. Gov't 
650 4 |a coarse graining 
650 4 |a data-assisted molecular modeling 
650 4 |a nuclear magnetic resonance 
650 4 |a proteins 
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700 1 |a Liwo, Adam  |e verfasserin  |4 aut 
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