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Rare Diseases: Drug Discovery and Informatics Resource

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Abstract

A rare disease refers to any disease with very low prevalence individually. Although the impacted population is small for a single disease, more than 6000 rare diseases affect millions of people across the world. Due to the small market size, high cost and possibly low return on investment, only in recent years, the research and development of rare disease drugs have gradually risen globally, in several domains including gene therapy, enzyme replacement therapy, and drug repositioning. Due to the complex etiology and heterogeneous symptoms, there is a large gap between basic research and patient unmet needs for rare disease drug discovery. As computational biology increasingly arises researchers’ awareness, the informatics database on rare disease have grown rapidly in the recent years, including drug targets, genetic variant and mutation, phenotype and ontology and patient registries. Along with the advances of informatics database and networks, new computational models will help accelerate the target identification and lead optimization process for rare disease pre-clinical drug development.

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Acknowledgements

Mingzhu Zhao is supported by grants from National Natural Science Foundation of China (Contract no. 61503244), and SMC-Morning Star Young Scholar Award of Shanghai Jiao Tong University. Dong-Qing Wei is supported by grants from the National High-Tech R&D Program (863 Program Contract no. 2012AA020307), the National Basic Research Program of China (973 Program Contract no. 2012CB721000), the Key Research Area Grant 2016YFA0501703 from the Ministry of Science and Technology of China, and Ph.D. Programs Foundation of Ministry of Education of China (Contract no. 20120073110057).

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  1. Instrumental Analysis Center, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China

    Mingzhu Zhao

  2. School of Life Science and Biotechnology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China

    Dong-Qing Wei

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Zhao, M., Wei, DQ. Rare Diseases: Drug Discovery and Informatics Resource. Interdiscip Sci Comput Life Sci 10, 195–204 (2018). https://doi.org/10.1007/s12539-017-0270-3

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