Torsion angle dynamics: Reduced variable conformational sampling enhances crystallographic structure refinement
By L. Rice, A. Brünger. 1994
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Pavel V. Afonine
- T. C. Terwilliger
- Nigel W. Moriarty
- G. Bunkoczi
- Paul D. Adams
- Nathaniel Echols
- D. Liebschner
- J. Headd
Citations in the corpus
- Towards automated crystallographic structure refinement with phenix.refine (2012, methodology): “…(IAS) model can be used to model bonding features (Afonine et al., 2004, 2007), to low resolution, where the use of torsion-angle parameterization (Rice & Brünger, 1994; Grosse-Kunstleve et al., 2009) and specific restraints for coordinates [reference-model, secondarystructure,…”
- The Phenix Software for Automated Determination of Macromolecular Structures (2011, methodology): “Simulated annealing (SA) refinement can push this limit to approximately 1.5 Å [46] but is typically best applied at the start of structure refinement when model errors are largest[47, 48].”
- Torsion angle dynamics for NMR structure calculation with the new program DYANA. (1997, methodology): “…to differences in the implementation of TAD and the force calculation: DYANA uses the TAD algorithm of Jain et al. (1993), whereas XPLOR employs the algorithm of Bae & Haug (1987) and follows a fourth-order Runge-Kutta scheme for integration of the equations of motion (Rice & Bru È nger, 1994 ).”
- Crystal Structure of the Cytosolic C2a-C2b Domains of Synaptotagmin III (1999, unknown): “Refinement included several rounds of conjugate gradient minimization, torsion angle simulated annealing at 3,000 K (Rice and Brunger, 1994), grouped B-factor refinement for both domains, and individual B-factor refinement for the C2A domain only (Table III, A and B).”