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Deorphanization of Malonyl CoA:ACP Transacylase Drug Target in Plasmodium falciparum (PfFabD) Using Bacterial Antagonists: A ‘Piggyback’ Approach for Antimalarial Drug Discovery
Author(s) -
Sreshty M. Asha Latha,
Surolia Avadhesha,
Sastry G. Narahari,
Murty U. Suryanarayana
Publication year - 2012
Publication title -
molecular informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.481
H-Index - 68
eISSN - 1868-1751
pISSN - 1868-1743
DOI - 10.1002/minf.201100051
Subject(s) - pharmacophore , drug discovery , virtual screening , active site , binding site , computational biology , docking (animal) , plasmodium falciparum , enzyme , biology , stereochemistry , chemistry , biochemistry , medicine , nursing , malaria , immunology
Quest for new drug targets in Plasmodium sp. has underscored malonyl CoA:ACP transacylase ( Pf FabD) of fatty acid biosynthetic pathway in apicoplast. In this study, a “piggyback” approach was employed for the receptor deorphanization using inhibitors of bacterial FabD enzymes. Due to the lack of crystal structure, theoretical model was constructed using the structural details of homologous enzymes. Sequence and structure analysis has localized the presence of two conserved pentapeptide motifs: GQGXG and GXSXG and five key invariant residues viz., Gln109, Ser193, Arg218, His305 and Gln354 characteristic of FabD enzyme. Active site mapping of Pf FabD using substrate molecules has disclosed the spatial arrangement of key residues in the cavity. As structurally similar molecules exhibit similar biological activities, signature pharmacophore fingerprints of FabD antagonists were generated using 0D‐3D descriptors for molecular similarity‐based cluster analysis and to correlate with their binding profiles. It was observed that antagonists showing good geometrical fitness score were grouped in cluster‐1, whereas those exhibiting high binding affinities in cluster‐2. This study proves important to shed light on the active site environment to reveal the hotspot for binding with higher affinity and to narrow down the virtual screening process by searching for close neighbors of the active compounds.