Constraint Satisfaction Techniques for Modeling Large Complexes: Application to the Central Domain of 16S Ribosomal RNA

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Constraint Satisfaction Techniques for Modeling Large Complexes: Application to the Central Domain of 16S Ribosomal RNA +  Has identifier

Constraint Satisfaction Techniques for Modeling Large Complexes: Application to the Central Domain of 16S Ribosomal RNA +  Ksl tr id

Constraint Satisfaction Techniques for Modeling Large Complexes: Application to the Central Domain of 16S Ribosomal RNA +  Number

Constraint Satisfaction Techniques for Modeling Large Complexes: Application to the Central Domain of 16S Ribosomal RNA

Bibtype  techreport

Has publishing details  1995

Has title  Constraint Satisfaction Techniques for Modeling Large Complexes: Application to the Central Domain of 16S Ribosomal RNA

Has where published  KSL-95-11

Has year  1995

Title  Constraint Satisfaction Techniques for Modeling Large Complexes: Application to the Central Domain of 16S Ribosomal RNA

Year  1995

Abstract  Standard experimental techniques for deter Standard experimental techniques for determining the structure of small to moderately-sized molecules are difficult to apply to large macromolecular complexes. These complexes, consisting of multiple protein and/or nucleic acid components, can contain many thousands of atoms and the experimental techniques used to study them provide relatively sparse structural information with significant measurement uncertainty. Computational technologies are required to reduce the conformational search space and synthesize the data in order to produce the structures or (more usually) sets of structures compatible with the data. In this paper, we show that a method based on the constraint satisfaction paradigm produces a three-dimensional topology for the central domain of the 16S ribosomal RNA that is generally consistent with interactively built models, although differing in significant ways. The modeling incorporates information about secondary structure of the nucleic acid, neutron diffraction data about the relative positions and uncertainties of the proteins, and protection experiments indicating proximities of segments of RNA to specific protein subunits. Unlike previously proposed models, our model contains explicit information about the range of positions for each subunit that are compatible with the data. The system uses a grid search, checks distances in a direction-dependent manner, uses disjunctive distance constraints, and checks for volume overlap violations. and checks for volume overlap violations.

Note  Medical Computer Science

Address  Stanford, CA, USA +

Author  Russ B. Altman and Bryn Weiser and Harry F. Noller +

Has author  Russ B. Altman and Bryn Weiser and Harry F. Noller +

Has identifier  Constraint Satisfaction Techniques for Modeling Large Complexes: Application to the Central Domain of 16S Ribosomal RNA +

Institution  Knowledge Systems, AI Laboratory +

Ksl tr id  Constraint Satisfaction Techniques for Modeling Large Complexes: Application to the Central Domain of 16S Ribosomal RNA +

Number  Constraint Satisfaction Techniques for Modeling Large Complexes: Application to the Central Domain of 16S Ribosomal RNA +

Process note  NO +

Categories  KSL Technical Report +, Publication +, Technical Report +

 

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