KNOWLEDGE-BASED VERSUS EXPERIMENTALLY ACQUIRED DISTANCE AND ANGLE CONSTRAINTS FOR NMR STRUCTURE REFINEMENT

نویسندگان
چکیده

منابع مشابه

Knowledge-Based versus experimentally Acquired Distance and Angle Constraints for NMR Structure Refinement

Nuclear Overhauser effects (NOE) distance constraints and torsion angle constraints are major conformational constraints for nuclear magnetic resonance (NMR) structure refinement. In particular, the number of NOE constraints has been considered as an important determinant for the quality of NMR structures. Of course, the availability of torsion angle constraints is also critical for the formati...

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Distance-based NMR structure determination and refinement

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A Knowledge-Based Method for Protein Structure Refinement and Prediction

The native conformation of a protein, in a given environment, is determined entirely by the various interatomic interactions dictated by the amino acid sequence (1-3). We describe here a knowledge-based approach for protein structure assessment and prediction. Using a well-defined set of high-resolution protein structures, we have derived statistical potentials, in the form of atom-pairwise dis...

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Hierarchical Minimization with Distance and Angle Constraints

The incorporation of experimentally-determined constraints into structure-prediction methods based on energy minimization leads to both improved selectivity with empirical potential functions and structure determination with far fewer constraints than are required for distance-geometry calculations. Some methods will be described for using both distance and angle constraints with the hierarchic...

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Angle and Distance Constraints on Tree Drawings

We consider planar drawings of trees that must satisfy constraints on the angles between edges incident to a common vertex and on the distances between adjacent vertices. These requirements arise naturally in many applications such as drawing phylogenetic trees or route maps. For straight-line drawings, either class of constraints is always realizable, whereas their combination is not in genera...

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ژورنال

عنوان ژورنال: Journal of Bioinformatics and Computational Biology

سال: 2008

ISSN: 0219-7200,1757-6334

DOI: 10.1142/s0219720008003448