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Next: Embedding Up: Implementation of Distance Geometry Previous: Pseudoatoms
Bound Smoothing
Input distances usually define only a small fraction of the 
interatomic distances in the system.  However, they do imply upper and 
lower bounds on the other atoms to which they are connected by means of
the triangle inequalities 
(Crippen and  Havel, 1988).  Determining these 
implied bounds is equivalent to a well-studied computational problem, 
finding the shortest path between two points in a directed graph.  The 
shortest-path algorithm used in this implementation is that of  
Dijkstra (see Tarjan (1983) for a review).  It
proceeds by calculating  
the shortest paths from one atom (the root) to all other atoms. 
The shortest-path routine calculates both upper and lower bounds by 
keeping track of two halves of the graph, one that holds the upper 
bounds and one that holds the lower.  By solving the shortest-path 
problem for the upper bounds first, the program can then calculate the 
lower bounds by continuing the shortest-path routine with the second 
half of the graph.  This process is repeated, with each atom taking its 
turn as root.
Xplor-NIH 2025-03-21