Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
Ergebnis 3 von 887

Details

Autor(en) / Beteiligte
Titel
Development and Validation of the Quantum Mechanical Bespoke Protein Force Field
Ist Teil von
  • ACS omega, 2019-09, Vol.4 (11), p.14537-14550
Ort / Verlag
American Chemical Society
Erscheinungsjahr
2019
Quelle
EZB Electronic Journals Library
Beschreibungen/Notizen
  • Molecular mechanics force field parameters for macromolecules, such as proteins, are traditionally fit to reproduce experimental properties of small molecules, and thus, they neglect system-specific polarization. In this paper, we introduce a complete protein force field that is designed to be compatible with the quantum mechanical bespoke (QUBE) force field by deriving nonbonded parameters directly from the electron density of the specific protein under study. The main backbone and sidechain protein torsional parameters are rederived in this work by fitting to quantum mechanical dihedral scans for compatibility with QUBE nonbonded parameters. Software is provided for the preparation of QUBE input files. The accuracy of the new force field, and the derived torsional parameters, is tested by comparing the conformational preferences of a range of peptides and proteins with experimental measurements. Accurate backbone and sidechain conformations are obtained in molecular dynamics simulations of dipeptides, with NMR J coupling errors comparable to the widely used OPLS force field. In simulations of five folded proteins, the secondary structure is generally retained, and the NMR J coupling errors are similar to standard transferable force fields, although some loss of the experimental structure is observed in certain regions of the proteins. With several avenues for further development, the use of system-specific nonbonded force field parameters is a promising approach for next-generation simulations of biological molecules.
Sprache
Englisch
Identifikatoren
ISSN: 2470-1343
eISSN: 2470-1343
DOI: 10.1021/acsomega.9b01769
Titel-ID: cdi_doaj_primary_oai_doaj_org_article_1a08a83600a54247a30f33e13efd1a20
Format

Weiterführende Literatur

Empfehlungen zum selben Thema automatisch vorgeschlagen von bX