Computer search of calcium binding sites in a gene data bank: use of learning techniques to build an expert system.
Using a learning set of 28 sequences able to bind calcium (each sequence is 12 residues long), we have built two filters by learning on this set. The first filter uses a pattern-matching technique and the second one takes into account the environment of amino-acids. These two filters have been used to find new calcium-binding proteins in a data bank. The results are discussed.
D000595:Amino Acid Sequence; D000818:Animals; D001483:Base Sequence; D001665:Binding Sites; D002118:Calcium / Q000378:metabolism*; D002135:Calcium-Binding Proteins / Q000235:genetics*; D002645:Chickens; D003201:Computers; D005057:Eukaryotic Cells / Q000032:analysis; D005796:Genes; D007256:Information Systems; D051379:Mice; D011817:Rabbits; D012984:Software
D002135:Calcium-Binding Proteins; D002118:Calcium