title: In silico identification of drug targets for antifertility from natural products by differential reaction content analysis of metabolic pathways.
abstract: BACKGROUND
  One of the major concerns of governments of developing and developed countries is to have a check on their population increase. Realising the importance of avoiding the harmful effects of synthetic compounds, scientists and researchers throughout the world are cooperating in efforts to design new and effective contraceptives from compounds of plant origin.
  
  
  METHODS
  In this paper, we compared 11 plant species by analysing compounds showing antifertility properties with respect to the metabolic pathways involved. The Kyoto Encyclopedia of Genes and Genome pathway database was the source of metabolic pathway information. Protein sequences and classification numbers of unique enzymes exclusively present in certain species were identified using the Expert Protein Analysis System.
  
  
  RESULTS
  Two enzymes, namely, L-aspartate dehydrogenase (EC no. 1.4.1.21) and trans-hexaprenyltranstransferase (EC no. 2.5.1.30), were identified as novel drug targets from the metabolic pathway analysis. Validation of the essential proteins identified through metabolic pathway comparison was done based on the literature information.
  
  
  CONCLUSIONS
  The in silico analysis resulted in identification of 2 enzymes that are predicted to be the targets for putative antifertility drug. These enzymes can further be modelled to obtain their 3-dimensional structures with the help of various protein structure modelling softwares.
authors.affiliation: Department of Bioinformatics, Maulana Azad National Institute of Technology, Bhopal (Madhya Pradesh), 462 051, India.
authors.forename: Shriddha
authors.initials: S
authors.lastname: Shukla
authors.forename: Savita
authors.initials: S
authors.lastname: Dixit