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Computationally Designed Recombinant-DNA-Based Compounds Production Driven in Plants During Secondary Metabolism and Their Implication in Antimalarial Therapies

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Abstract

Well-established and newly developed genome technologies are revolutionising the field of biomedicine, by providing genomic data and genetic engineered structures that support investigating individual propensity for developing certain diseases, on one hand, and by predicting individual responses to the environmental stimulus due to gene common variants. Indeed, the former has provided innovative ways of combining genotype-phenotype-based therapies for a wide range of diseases, including malaria and its side effects. Ultimately, computationally guided gene modifications via in silico design of plasmids have contributed with the optimal production of recombinant DNA, benefiting from useful species variant traits. On the other hand, natural or semisynthetic plant secondary metabolites-derived compounds have been used in diseases’ therapies, particularly treating infectious diseases as malaria. In recent years, major efforts have been made to reduce the burden of infectious diseases worldwide, especially in the developing world. In this context, malaria prevention and treatment have stimulated collective measures, which are widely reported by the World Health Organization (WHO). Therefore, aiming at addressing the latest advances in the field, in this chapter, the relevance of pharmacogenomics and computational design in drug discovery, including information on the benefits of using plants secondary metabolites for the production of anti-malarial compounds, are presented. Moreover, given the plethora of prospective side effects resulting from this burden of disease, including neurocognitive impairment in patients affected by cerebral Plasmodium falciparum infection, a set of key elements in patient-response-based drug screening is discussed, in the context of stem cells technology. All together, we anticipate the above mentioned new technologies to be the precursors of short-term novelty in computationally designed gene-personalised healthcare, bringing about significant improvement in the current malarial therapies.

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Acknowledgments

The authors are grateful to Mr. Abraão Lincoln Macedo Silva for figures. His postgraduate thesis was supported by the Fundação de Amparo à Pesquisa e ao Desenvolvimento Científico e Tecnológico do Estado do Maranhão – FAPEMA, Brazil. Additionally, all the authors are grateful to the support received from collaborators and funding bodies as the FAPEMA (Brazil), Institut Carnot (ICM – France), MCINN (Spain), and the BHF (UK). B. Rocamonde acknowledges the Marie Skłodowska-Curie Actions Individual Fellowships (IF).

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Authors and Affiliations

  1. Bioengineering, Imperial College London, London, UK

    Glaucia C. Pereira & Zoltan Kis

  2. Computer Sciences, University Autonoma of Madrid, Madrid, Spain

    Glaucia C. Pereira

  3. Biological & Health Sciences Centre, Federal University of Maranhão, São Luís, Brazil

    Sonia Malik

  4. Molecular and Cellular Mechanisms of Gliomagenesis Unit, Institut du Cerveau et de la Moelle Epinièr, Paris, France

    Brenda Rocamonde

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  1. Glaucia C. Pereira
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  2. Sonia Malik
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  3. Zoltan Kis
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  4. Brenda Rocamonde
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Correspondence to Glaucia C. Pereira .

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Editors and Affiliations

  1. Department of Biotechnology, East West First Grade College of Science, Bengaluru, Karnataka, India

    Mallappa Kumara Swamy

  2. Department of Botany, Gandhi Faiz-e-Aam College, Shahjahanpur, Uttar Pradesh, India

    Mohd Sayeed Akhtar

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Pereira, G.C., Malik, S., Kis, Z., Rocamonde, B. (2019). Computationally Designed Recombinant-DNA-Based Compounds Production Driven in Plants During Secondary Metabolism and Their Implication in Antimalarial Therapies. In: Swamy, M., Akhtar, M. (eds) Natural Bio-active Compounds. Springer, Singapore. https://doi.org/10.1007/978-981-13-7205-6_6

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