title: Mining nematode genome data for novel drug targets.
abstract: Expressed sequence tag projects have currently produced over 400 000 partial gene sequences from more than 30 nematode species and the full genomic sequences of selected nematodes are being determined. In addition, functional analyses in the model nematode Caenorhabditis elegans have addressed the role of almost all genes predicted by the genome sequence. This recent explosion in the amount of available nematode DNA sequences, coupled with new gene function data, provides an unprecedented opportunity to identify pre-validated drug targets through efficient mining of nematode genomic databases. This article describes the various information sources available and strategies that can expedite this process.
authors.affiliation: Molecular Parasitology, New England Biolabs, 32 Tozer Road, Beverly, MA 01915, USA.
authors.forename: Jeremy M
authors.initials: JM
authors.lastname: Foster
authors.forename: Yinhua
authors.initials: Y
authors.lastname: Zhang
authors.forename: Sanjay
authors.initials: S
authors.lastname: Kumar
authors.forename: Clotilde K S
authors.initials: CK
authors.lastname: Carlow
mesh_terms: D000818:Animals; D017173:Caenorhabditis elegans / Q000235:genetics; D002874:Chromosome Mapping; D030541:Databases, Genetic; D020224:Expressed Sequence Tags; D017238:Genes, Helminth; D016678:Genome; D023281:Genomics; D009348:Nematoda / Q000235:genetics*