Literature DB >> 29094320

Rare Diseases: Drug Discovery and Informatics Resource.

Mingzhu Zhao1, Dong-Qing Wei2.   

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.

Entities:  

Keywords:  Computational model; Drug discovery; Drug repositioning; Informatics database; Rare disease

Mesh:

Year:  2017        PMID: 29094320     DOI: 10.1007/s12539-017-0270-3

Source DB:  PubMed          Journal:  Interdiscip Sci        ISSN: 1867-1462            Impact factor:   2.233


  7 in total

Review 1.  Knowledge-based approaches to drug discovery for rare diseases.

Authors:  Vinicius M Alves; Daniel Korn; Vera Pervitsky; Andrew Thieme; Stephen J Capuzzi; Nancy Baker; Rada Chirkova; Sean Ekins; Eugene N Muratov; Anthony Hickey; Alexander Tropsha
Journal:  Drug Discov Today       Date:  2021-10-27       Impact factor: 8.369

2.  Clinical application of whole-exome sequencing: A retrospective, single-center study.

Authors:  Qiang Zhang; Zailong Qin; Shang Yi; Hao Wei; Xun Zhao Zhou; Jiasun Su
Journal:  Exp Ther Med       Date:  2021-05-12       Impact factor: 2.447

Review 3.  CDG Therapies: From Bench to Bedside.

Authors:  Sandra Brasil; Carlota Pascoal; Rita Francisco; Dorinda Marques-da-Silva; Giuseppina Andreotti; Paula A Videira; Eva Morava; Jaak Jaeken; Vanessa Dos Reis Ferreira
Journal:  Int J Mol Sci       Date:  2018-04-27       Impact factor: 5.923

4.  Designing of CD8+ and CD8+-overlapped CD4+ epitope vaccine by targeting late and early proteins of human papillomavirus.

Authors:  Satyavani Kaliamurthi; Gurudeeban Selvaraj; Aman Chandra Kaushik; Ke-Ren Gu; Dong-Qing Wei
Journal:  Biologics       Date:  2018-10-02

5.  Exploring the Papillomaviral Proteome to Identify Potential Candidates for a Chimeric Vaccine against Cervix Papilloma Using Immunomics and Computational Structural Vaccinology.

Authors:  Satyavani Kaliamurthi; Gurudeeban Selvaraj; Sathishkumar Chinnasamy; Qiankun Wang; Asma Sindhoo Nangraj; William Cs Cho; Keren Gu; Dong-Qing Wei
Journal:  Viruses       Date:  2019-01-15       Impact factor: 5.048

6.  VCF-Server: A web-based visualization tool for high-throughput variant data mining and management.

Authors:  Jianping Jiang; Jianlei Gu; Tingting Zhao; Hui Lu
Journal:  Mol Genet Genomic Med       Date:  2019-05-24       Impact factor: 2.183

Review 7.  Biological Network Approaches and Applications in Rare Disease Studies.

Authors:  Peng Zhang; Yuval Itan
Journal:  Genes (Basel)       Date:  2019-10-12       Impact factor: 4.096

  7 in total

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