In Silico Plant Growth Metabolites

  • Shradha Sharma
  • Pushpa Lohani


The exponential development in civilization of human race demands for more reliable resources and technology, to sustain and secure the future of the coming generations. With the growing pace of evolution, we need highly efficient technique to scrutinize the data and deduct the possible outcomes. System biology has opened up a totally new era of analysing these complex records of living beings. The in silico on literal terms means “performed on computer or via computer simulation”. The computer models of crops like rice (Oryza sativa), maize (Zea mays), soybean (Glycine max) and cassava (Manihot esculenta) have been made to study and design crops with higher yield and efficiency. This in silico analysis is a combat against the time taking crop breeding technique and error-prone genetic engineering where the result is unpredictable due to intricate interaction between genotype and management. The digital representation of plants in silico (Psi) will examine the possible phenotype of the crop from genotype and environmental interactions. In this chapter, we give a brief on secondary metabolites produced by plants and their potential applications along with the databases which have been made to easily retrieve the required data about them for scientific and academic purposes.


Secondary metabolites Phytochemicals Database Simulation Computer models 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Shradha Sharma
    • 1
  • Pushpa Lohani
    • 1
  1. 1.Department of Molecular Biology and Genetic Engineering, College of Basic Science and HumanitiesGB Pant University of Agriculture & TechnologyPantnagarIndia

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