Title :
Intervals and the deduction of drug binding site models
Author :
Crippen, Gordon M.
Author_Institution :
Coll. of Pharmacy, Michigan Univ., Ann Arbor, MI, USA
Abstract :
In the search for new drugs, it often occurs that the binding affinities of several compounds to a common receptor macromolecule are known experimentally. But the structure of the receptor is not known. We describe an extraordinarily objective computer algorithm for deducing the important geometric and energetic features of the common binding site, starting only from the chemical structures of the ligands and their observed binding. The user does not have to propose a pharmacophore, guess the bioactive conformations of the ligands, or suggest ways to superimpose the active compounds. The method takes into account conformational flexibility of the ligands, stereospecific binding, diverse or unrelated chemical structures, inaccurate or qualitative binding data, and the possibility that chemically similar ligands may or may not bind to the receptor in similar orientations
Keywords :
biology computing; chemical structure; chemistry; chemistry computing; binding affinities; bioactive conformations; chemical structures; chemically similar ligands; common binding site; common receptor macromolecule; computer algorithm; conformational flexibility; deduction; drug binding site models; drugs; energetic features; geometric features; intervals; pharmacophore; qualitative binding data; receptor; stereospecific binding; Atomic measurements; Biochemistry; Chemical compounds; Data analysis; Drugs; Educational institutions; Energy measurement; Nuclear magnetic resonance; Protein engineering; Spectroscopy;
Conference_Titel :
System Sciences, 1995. Proceedings of the Twenty-Eighth Hawaii International Conference on
Conference_Location :
Wailea, HI
Print_ISBN :
0-8186-6930-6
DOI :
10.1109/HICSS.1995.375332