Data processing: artificial intelligence – Machine learning – Genetic algorithm and genetic programming system
Reexamination Certificate
2007-08-14
2007-08-14
Brusca, John S. (Department: 1631)
Data processing: artificial intelligence
Machine learning
Genetic algorithm and genetic programming system
C702S019000, C435S004000
Reexamination Certificate
active
10232370
ABSTRACT:
A method for identifying gene cluster is disclosed. The method may be used for identifying gene clusters involved in the biosynthesis of natural products. A small insert library of DNA fragments of genomic DNA and a large insert library of DNA fragments of genomic DNA are prepared. Fragments in the small insert library are sequenced and compared by homology comparison under computer control to a database containing genes, gene fragments or proteins known to be involved in the biosynthesis of microbial natural products. Fragments having similar structure to genes, gene fragments or proteins known to be involved in the biosynthesis of naturally occurring metabolites are used as probes to screen the large insert library of genomic DNA to detect gene clusters involved in the biosynthesis of microbial natural products.
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Farnet Chris M.
Staffa Alfredo
Zazopoulos Emmanuel
Brusca John S.
FitzGerald Mark J.
Negin Russell S.
Nixon & Peabody LLP
Thallion Pharmaceuticals Inc.
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