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Maximal common substructure search

Historically, substructure search methods were first developed for dealing with 2-D structures, and later these techniques were either extended to become, or incorporated into, 3-D substructure search approaches. The same is true for maximal common substructure searching methods. Two-dimensional methods are not only useful tools themselves for many applications, but also an important foundation for the understanding and development of the 3-D counterparts in many cases. In this chapter, the SSS methods will be introduced first. Then, attention will be focused toward the discussion on MCSS methodologies. [Pg.485]

Early Work in the Development of Maximal Common Substructure Search Algorithms... [Pg.496]

Applications of the Maximal Common Substructure Search Method... [Pg.507]

Wang T, Zhou J. EMCSS a new method for maximal common substructure search. J Chem Inf Comput Sci 1997 37 828-834. [Pg.513]

Winter, W. Langenaeker, and J. P. Tollenaere, Eds., Dekker, Inc., New York, 2003, pp. 483-513. Substructure and Maximal Common Substructure Searching. [Pg.198]


See other pages where Maximal common substructure search is mentioned: [Pg.106]    [Pg.112]    [Pg.294]    [Pg.483]    [Pg.485]    [Pg.487]    [Pg.489]    [Pg.491]    [Pg.493]    [Pg.495]    [Pg.496]    [Pg.497]    [Pg.499]    [Pg.501]    [Pg.503]    [Pg.505]    [Pg.507]    [Pg.509]    [Pg.511]    [Pg.513]   
See also in sourсe #XX -- [ Pg.474 ]




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