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Bioinformatics in Leishmania Drug Design

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Drug Resistance in Leishmania Parasites

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Abstract

Leishmania drug design follows the typical path of the flow of genetic information: By analyzing genome information and considering infection-specific RNA and protein expression, potential targets for drug design and vaccine development are identified. Therefore, to implement successful intervention strategies against Leishmania infection, specific features of the process are critical; herein they are described, including specific genome information, good vaccine targets, and classical as well as innovative drug targeting strategies. In addition, a combination of software and web sites has been structured here with references and tools for rapid analysis to rank and examine new target structures in Leishmania.

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Acknowledgments

We thank DFG (TR124/B1) and the land of Bavaria for support.

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Authors and Affiliations

  1. Department of Bioinformatics, Biocenter, University of Würzburg, Würzburg, Germany

    Shishir K. Gupta & Thomas Dandekar

  2. EMBL Heidelberg, BioComputing Unit, Heidelberg, Germany

    Thomas Dandekar

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  1. Shishir K. Gupta
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  2. Thomas Dandekar
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Correspondence to Thomas Dandekar .

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Editors and Affiliations

  1. Institute of Experimental Medicine, Universidad Central de Venezuela, Caracas, Venezuela

    Alicia Ponte-Sucre

  2. Escuela Luis Razetti Fac de Medicine, Universidad Central de Venezuela, Caracas, Venezuela

    Maritza Padrón-Nieves

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Gupta, S.K., Dandekar, T. (2018). Bioinformatics in Leishmania Drug Design. In: Ponte-Sucre, A., Padrón-Nieves, M. (eds) Drug Resistance in Leishmania Parasites. Springer, Cham. https://doi.org/10.1007/978-3-319-74186-4_13

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