Elucidation of Protein Structural and Pharmacophore Features Based on Sequence Clustering by Common Neighbor Comparisons | Zendy

Richard Kho | Zendy; Mark R. Hansen | Zendy; Brian Baker | Zendy; Joe Newman | Zendy; Daniel S. Sem | Zendy; Richard M. Jack | Zendy; Hugo O. Villar | Zendy

Open Access

Elucidation of Protein Structural and Pharmacophore Features Based on Sequence Clustering by Common Neighbor Comparisons

Author(s) -

Richard Kho,

Mark R. Hansen,

Brian Baker,

Joe Newman,

Daniel S. Sem,

Richard M. Jack,

Hugo O. Villar

Publication year - 2002

Publication title -

the scientific world journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.453

H-Index - 93

eISSN - 2356-6140

pISSN - 1537-744X

DOI - 10.1100/tsw.2002.9

Subject(s) - pharmacophore , cluster analysis , computer science , sequence (biology) , computational biology , data mining , bioinformatics , artificial intelligence , genetics , biology

. Genome sequencing projects have dramatically increased our understanding of the pathways and proteins involved in biological systems. The NAD(P)-utilizing family of enzymes is one of the most important gene families representing 15% of all known enzyme functions. We have performed a complete characterization of this gene family on a sequence, structural, and NAD(P)-pharmacophore level. Genome-wide analysis was performed to gain a complete understanding of the structures and functional importance of NAD(P)-utilizing enzymes in 17 different genomes.

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