scholarly journals Collaboration for rare disease drug discovery research

F1000Research ◽  
2014 ◽  
Vol 3 ◽  
pp. 261 ◽  
Author(s):  
Nadia K. Litterman ◽  
Michele Rhee ◽  
David C. Swinney ◽  
Sean Ekins
Keyword(s):  
Drug Discovery ◽  
Rare Disease ◽  
Rare Diseases ◽  
Research Collaboration ◽  
Drug Repurposing ◽  
Active Involvement ◽  
Disease Research ◽  
Discovery Research ◽  
Drug Companies ◽  
Drug Discovery Research

Rare disease research has reached a tipping point, with the confluence of scientific and technologic developments that if appropriately harnessed, could lead to key breakthroughs and treatments for this set of devastating disorders. Industry-wide trends have revealed that the traditional drug discovery research and development (R&D) model is no longer viable, and drug companies are evolving their approach. Rather than only pursue blockbuster therapeutics for heterogeneous, common diseases, drug companies have increasingly begun to shift their focus to rare diseases. In academia, advances in genetics analyses and disease mechanisms have allowed scientific understanding to mature, but the lack of funding and translational capability severely limits the rare disease research that leads to clinical trials. Simultaneously, there is a movement towards increased research collaboration, more data sharing, and heightened engagement and active involvement by patients, advocates, and foundations. The growth in networks and social networking tools presents an opportunity to help reach other patients but also find researchers and build collaborations. The growth of collaborative software that can enable researchers to share their data could also enable rare disease patients and foundations to manage their portfolio of funded projects for developing new therapeutics and suggest drug repurposing opportunities. Still there are many thousands of diseases without treatments and with only fragmented research efforts. We will describe some recent progress in several rare diseases used as examples and propose how collaborations could be facilitated. We propose that the development of a center of excellence that integrates and shares informatics resources for rare diseases sponsored by all of the stakeholders would help foster these initiatives.

Harnessing Drug Repurposing for Exploration of New Diseases: An Insight to Strategies and Case Studies

2020 ◽  
Vol 20 ◽  
Author(s):  
Priti Jain ◽  
Shreyans K Jain ◽  
Munendra Jain
Keyword(s):  
Drug Discovery ◽  
Case Studies ◽  
Drug Repositioning ◽  
Pediatric Population ◽  
Clinical Status ◽  
Drug Repurposing ◽  
Discovery Research ◽  
Drug Discovery Research ◽  
Traditional Drug ◽  
Approved Drugs

Background: Traditional drug discovery is time consuming, costly, and risky process. Owing to the large investment, excessive attrition, and declined output; drug repurposing has become a blooming approach for the identification and development of new therapeutics. The method has gained momentum in the past few years and has resulted in many excellent discoveries. Industries are resurrecting the failed and shelved drugs to save time and cost. The process accounts for approximately 30% of the new US Food and Drug Administration approved drugs and vaccines in recent years. Methods: A systematic literature search using appropriate keywords were made to identify articles discussing the different strategies being adopted for repurposing and various drugs that have been/are being repurposed. Results: This review aims to describe the comprehensive data about the various strategies (Blinded search, computational approaches, and experimental approaches) used for the repurposing along with success case studies (treatment for orphan diseases, neglected tropical disease, neurodegenerative diseases, and drugs for pediatric population). It also inculcates an elaborated list of more than 100 drugs that have been repositioned, approaches adopted, and their present clinical status. We have also attempted to incorporate the different databases used for computational repurposing. Conclusion: The data presented is proof that drug repurposing is a prolific approach circumventing the issues poised by conventional drug discovery approaches. It is a highly promising approach and when combined with sophisticated computational tools it also carries high precision. The review would help researches in prioritizing the drug-repositioning method much needed to flourish the drug discovery research.

scholarly journals The use or generation of biomedical data and existing medicines to discover and establish new treatments for patients with rare diseases – recommendations of the IRDiRC Data Mining and Repurposing Task Force

2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Noel T Southall ◽  
◽  
Madhusudan Natarajan ◽  
Lilian Pek Lian Lau ◽  
Anneliene Hechtelt Jonker ◽  
...  
Keyword(s):  
Data Mining ◽  
Drug Development ◽  
Rare Disease ◽  
Rare Diseases ◽  
Task Force ◽  
Experimental Testing ◽  
Drug Repurposing ◽  
Research Capacity ◽  
Biomedical Data ◽  
Disease Research

Abstract The number of available therapies for rare diseases remains low, as fewer than 6% of rare diseases have an approved treatment option. The International Rare Diseases Research Consortium (IRDiRC) set up the multi-stakeholder Data Mining and Repurposing (DMR) Task Force to examine the potential of applying biomedical data mining strategies to identify new opportunities to use existing pharmaceutical compounds in new ways and to accelerate the pace of drug development for rare disease patients. In reviewing past successes of data mining for drug repurposing, and planning for future biomedical research capacity, the DMR Task Force identified four strategic infrastructure investment areas to focus on in order to accelerate rare disease research productivity and drug development: (1) improving the capture and sharing of self-reported patient data, (2) better integration of existing research data, (3) increasing experimental testing capacity, and (4) sharing of rare disease research and development expertise. Additionally, the DMR Task Force also recommended a number of strategies to increase data mining and repurposing opportunities for rare diseases research as well as the development of individualized and precision medicine strategies.

scholarly journals Modern Approaches in the Discovery and Development of Plant-Based Natural Products and Their Analogues as Potential Therapeutic Agents

Molecules ◽  
2022 ◽  
Vol 27 (2) ◽  
pp. 349
Author(s):  
Asim Najmi ◽  
Sadique A. Javed ◽  
Mohammed Al Bratty ◽  
Hassan A. Alhazmi
Keyword(s):  
Natural Products ◽  
Drug Discovery ◽  
Natural Product ◽  
Therapeutic Agents ◽  
Throughput Capacity ◽  
Scientific Interest ◽  
Comprehensive Overview ◽  
Natural Sources ◽  
Discovery Research ◽  
Drug Discovery Research

Natural products represents an important source of new lead compounds in drug discovery research. Several drugs currently used as therapeutic agents have been developed from natural sources; plant sources are specifically important. In the past few decades, pharmaceutical companies demonstrated insignificant attention towards natural product drug discovery, mainly due to its intrinsic complexity. Recently, technological advancements greatly helped to address the challenges and resulted in the revived scientific interest in drug discovery from natural sources. This review provides a comprehensive overview of various approaches used in the selection, authentication, extraction/isolation, biological screening, and analogue development through the application of modern drug-development principles of plant-based natural products. Main focus is given to the bioactivity-guided fractionation approach along with associated challenges and major advancements. A brief outline of historical development in natural product drug discovery and a snapshot of the prominent natural drugs developed in the last few decades are also presented. The researcher’s opinions indicated that an integrated interdisciplinary approach utilizing technological advances is necessary for the successful development of natural products. These involve the application of efficient selection method, well-designed extraction/isolation procedure, advanced structure elucidation techniques, and bioassays with a high-throughput capacity to establish druggability and patentability of phyto-compounds. A number of modern approaches including molecular modeling, virtual screening, natural product library, and database mining are being used for improving natural product drug discovery research. Renewed scientific interest and recent research trends in natural product drug discovery clearly indicated that natural products will play important role in the future development of new therapeutic drugs and it is also anticipated that efficient application of new approaches will further improve the drug discovery campaign.

scholarly journals Induced Pluripotent HD Monkey Stem Cells Derived Neural Cells for Drug Discovery

2016 ◽  
Vol 22 (6) ◽  
pp. 696-705 ◽  
Author(s):  
Tanut Kunkanjanawan ◽  
Richard Carter ◽  
Kwan-Sung Ahn ◽  
Jinjing Yang ◽  
Rangsun Parnpai ◽  
...  
Keyword(s):  
Stem Cells ◽  
Drug Discovery ◽  
Trinucleotide Repeat ◽  
Yeast Cells ◽  
Neural Cells ◽  
Primate Model ◽  
Discovery Research ◽  
Drug Discovery Research ◽  
Induced Pluripotent

Huntington’s disease (HD) is a neurodegenerative disease caused by an expansion of CAG trinucleotide repeat (polyglutamine [polyQ]) in the huntingtin ( HTT) gene, which leads to the formation of mutant HTT (mHTT) protein aggregates. In the nervous system, an accumulation of mHTT protein results in glutamate-mediated excitotoxicity, proteosome instability, and apoptosis. Although HD pathogenesis has been extensively studied, effective treatment of HD has yet to be developed. Therapeutic discovery research in HD has been reported using yeast, cells derived from transgenic animal models and HD patients, and induced pluripotent stem cells from patients. A transgenic nonhuman primate model of HD (HD monkey) shows neuropathological, behavioral, and molecular changes similar to an HD patient. In addition, neural progenitor cells (NPCs) derived from HD monkeys can be maintained in culture and differentiated to neural cells with distinct HD cellular phenotypes including the formation of mHTT aggregates, intranuclear inclusions, and increased susceptibility to oxidative stress. Here, we evaluated the potential application of HD monkey NPCs and neural cells as an in vitro model for HD drug discovery research.

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