seveml wot·ks had attempted to use genomics
to explain the mode of mosquito t·esistance and pt·edict dmg
tat·get. The use of insecticides in val'ious ways has been the
majm· malal'ia vectot· conti'Ol stmtegy being deployed lately,
mostly pyt·ethi'Oid, the majm· t·ecommended compound class
fot· IRS, ITNs and LLITNs. Resistance to dmgs and
insecticides has continually obstmcted vectm·/malal'ia
contt·ol stntegies. The advet·t effect is so enonnous in the
Sub-Sahamn Afl'ican; its socioeconomic impact is
unquantifiable in evet·y measm·e. Thus, the quick necessity
fm· the development and elucidation of potent, cheap and
efficient new potential insecticidal tat·gets, especially those
in the class pyt·ethi'Oid fm· the malal'ia vectot·, A. gambiae. In
this wm·k, an updated Anopheles gambiae biochemical
metabolic netwm·k (AnoCyc vel'l.O), othet·wise known as
pathway genome database (PGDB) was extmcted, the
database was t·econstt·ucted by developing a computational
gmph model in an appi'Oach that modeled the metabolic
netwot·k of the m·ganism as a bipat·tite gmph, deployed the
concept of choke point, load point and t·eaction without
deviation to detet·mine the essential enzymatic t·eactions in
the netwm·ks. Each potential dmg tat·get to theit·
coiTesponding gene/pi'Otein and such encoding pi'Otein
sequences wet·e extmcted. (PDB) was blasted fot· genes that
have stmctm·e m· homologue of >= 30 sequence identity.
Finally, we deployed Ovet·ton and Bation Scm·e (OB-Scm·e)
and Pat·Ct·ys pt·ediction to mnk pi'Oteins by theit' likely
success in ct·ystallization. 61 potential insecticidal candidate
tat·gets was made bat·e, one clinically validated insecticidal
tat·get and othet·s with biological evidence in the litemtnt·e.
Seven of these tat·gets ideally stand out and have no
homology with othet· vetiebmtes. These in depth dissection
of the biochemical metabolic netwm·ks of the Anopheles
effectively identified the ideal gene pi'Oducts and specifically
extmct essential enzymes as new potential insecticidal tat·get
against A. gambiae
