A philosophy for Opening Biotechnology Collaboration for Therapeutics

2017 ◽  
Author(s):  
Jason Barkeloo ◽  
Timothy Cripe ◽  
Li Guo ◽  
Ronald Laymon ◽  
Pablo Pomposiello ◽  
...  

The pharmaceutical industry faces a host of worsening problems: Multibillion-dollar expenses and decade-long development times to bring new drugs to market, high failure rates for new drug candidates, and a patent system that is both expensive and uncertain. Demanding regulatory requirements and governmental pressures on prescription costs add yet more pressure on drug development. Although the situation does not yet constitute a crisis, its current trajectory is becoming increasingly untenable. While the industry itself has been resourceful in introducing technological advances and operating reforms such as increased collaboration through patent pooling, these efforts do not exhaust the possibilities for improvement. In particular, there has been an emerging, more agile and responsive alternative model in pharmaceutical research and development, namely open source synthetic biology – a rapidly developing and highly collaborative effort based on engineering principles involving the design and construction of biological systems using standardized modules of DNA. Synthetic biology began entirely open to those who wished to participate, provided that they agreed to share their results without restrictions. In its current and more mature state, it retains much of its open source character and is consequently less dependent on secrecy and patent protection than the pharmaceutical industry’s largely proprietary approach. The success of open source synthetic biology has inspired us to further develop that approach for research and development in Biotechnology and its pharmaceutical applications. Here, we reviewed the history and progress of open source science and technology.

2020 ◽  
Vol 9 (1) ◽  
pp. 30-36 ◽  
Author(s):  
G R Soni

As per regulatory requirements, biosimilar drugs must show high similarity to their reference product in quality, preclinical and clinical tests. It is by these means that biosimilars are considered to be safe and efficacious. In India, any major deviation(s) from science-based principles in the manufacturing of a recombinant DNA-derived therapeutic biological product leads to its classification as a ‘non-innovator’ biological, which are approved as ‘New Drugs’. According to the World Health Organization (WHO), these biological products have uncertain safety and efficacy when compared to the reference biological and are therefore not recommended for use. However, these so-called non-innovator biological products continue to be developed in India, for reasons including brief and poorly implemented guidelines on biologicals, a lack of expertise on biosimilars amongst drug regulatory committees, lack of coordination among government departments working on biosimilars, poor quality accreditation in testing laboratories, and a lack of patent protection for innovator drugs. There is an urgent need to identify deficiencies in the ministries responsible for biosimilars in India, which could be through a scientific audit. Compliance with such an audit could strengthen the Indian regulatory system and thus increase the provision of affordable, high quality biosimilars in India.


1993 ◽  
Vol 23 (1) ◽  
pp. 147-160 ◽  
Author(s):  
Joel Lexchin

In response to high drug prices, the Canadian government amended the country's patent act in 1969 to allow for compulsory licensing to import pharmaceuticals. As a result of the legislation, by 1983 drug costs in Canada were over $200 million lower than they would otherwise have been. The multinational drug industry was strongly opposed to compulsory licensing, despite any evidence that its economic position had been harmed. Restoration of patent protection for drugs was one of the key U.S. demands during free-trade negotiations between Canada and the United States in 1985–1987. The result was Bill C-22, which gave new drugs protection from compulsory licensing for seven to ten years. This article analyzes the impact of Bill C-22 on the generic industry, the creation of jobs in research and development, drug prices, and research and development expenditures. It concludes with an examination of future demands from the pharmaceutical industry.


2011 ◽  
Vol 20 (2) ◽  
pp. 329-334 ◽  
Author(s):  
THOMAS POGGE ◽  
AIDAN HOLLIS

In a widely cited 2003 article, DiMasi, Hansen, and Grabowski estimated the cost of pharmaceutical research and development to be $1.1 billion (year 2000 U.S. dollars) per new medicine coming onto the market in 2001. They also estimate that this cost is going up at a real (inflation-adjusted) rate of 7.4% annually. According to these estimates, the innovation cost per new medicine today is about $2.1 billion (year 2000 U.S. dollars) or $2.65 billion (year 2010 U.S. dollars).


1977 ◽  
Vol 11 (8) ◽  
pp. 470-476
Author(s):  
Bernard A. Haines

Worldwide politico-socioeconomic factors greatly influence the regulations and legislation that govern the clinical study of investigational new drugs. The increase in worldwide potential for pharmaceutical products, along with the escalating research and development expenditures, place an increased responsibility on R&D to produce new and improved products with worldwide clinical utility. Worldwide regulatory agencies play a significant role in the design and study of new drugs and in the transport of clinical drug supplies. The extent and influence of worldwide regulations on the clinical development of drugs for worldwide markets and on the transport of clinical drug supplies both now and in the future are presented.


2021 ◽  
Author(s):  
Bernard Munos ◽  
Jan Niederreiter ◽  
Massimo Riccaboni

AbstractIn pharmaceutical research, assessing drug candidates’ odds of success as they move through clinical research often relies on crude methods based on historical data. However, the rapid progress of machine learning offers a new tool to identify the more promising projects. To evaluate its usefulness, we trained and validated several machine learning algorithms on a large database of projects. Using various project descriptors as input data we were able to predict the clinical success and failure rates of projects with an average balanced accuracy of 83% to 89%, which compares favorably with the 56% to 70% balanced accuracy of the method based on historical data. We also identified the variables that contributed most to trial success and used the algorithm to predict the success (or failure) of assets currently in the industry pipeline. We conclude by discussing how pharmaceutical companies can use such model to improve the quantity and quality of their new drugs, and how the broad adoption of this technology could reduce the industry’s risk profile with important consequences for industry structure, R&D investment, and the cost of innovation


2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Jing Wui Yeoh ◽  
Neil Swainston ◽  
Peter Vegh ◽  
Valentin Zulkower ◽  
Pablo Carbonell ◽  
...  

Abstract Advances in hardware automation in synthetic biology laboratories are not yet fully matched by those of their software counterparts. Such automated laboratories, now commonly called biofoundries, require software solutions that would help with many specialized tasks such as batch DNA design, sample and data tracking, and data analysis, among others. Typically, many of the challenges facing biofoundries are shared, yet there is frequent wheel-reinvention where many labs develop similar software solutions in parallel. In this article, we present the first attempt at creating a standardized, open-source Python package. A number of tools will be integrated and developed that we envisage will become the obvious starting point for software development projects within biofoundries globally. Specifically, we describe the current state of available software, present usage scenarios and case studies for common problems, and finally describe plans for future development. SynBiopython is publicly available at the following address: http://synbiopython.org.


2021 ◽  
pp. 026988112110324
Author(s):  
David J Heal ◽  
Sharon L Smith

Background: Binge-eating disorder (BED) is a common psychiatric condition with adverse psychological and metabolic consequences. Lisdexamfetamine (LDX) is the only approved BED drug treatment. New drugs to treat BED are urgently needed. Methods: A comprehensive review of published psychopathological, pharmacological and clinical findings. Results: The evidence supports the hypothesis that BED is an impulse control disorder with similarities to ADHD, including responsiveness to catecholaminergic drugs, for example LDX and dasotraline. The target product profile (TPP) of the ideal BED drug combines treating the psychopathological drivers of the disorder with an independent weight-loss effect. Drugs with proven efficacy in BED have a common pharmacology; they potentiate central noradrenergic and dopaminergic neurotransmission. Because of the overlap between pharmacotherapy in attention deficit hyperactivity disorder (ADHD) and BED, drug-candidates from diverse pharmacological classes, which have already failed in ADHD would also be predicted to fail if tested in BED. The failure in BED trials of drugs with diverse pharmacological mechanisms indicates many possible avenues for drug discovery can probably be discounted. Conclusions: (1) The efficacy of drugs for BED is dependent on reducing its core psychopathologies of impulsivity, compulsivity and perseveration and by increasing cognitive control of eating. (2) The analysis revealed a large number of pharmacological mechanisms are unlikely to be productive in the search for effective new BED drugs. (3) The most promising areas for new treatments for BED are drugs, which augment noradrenergic and dopaminergic neurotransmission and/or those which are effective in ADHD.


2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Gongming Li ◽  
Qingqing Guo ◽  
Chao Feng ◽  
Huan Chen ◽  
Wenjiao Zhao ◽  
...  

Abstract Background Schistosomiasis is a chronic parasitic disease that affects millions of people’s health worldwide. Because of the increasing drug resistance to praziquantel (PZQ), which is the primary drug for schistosomiasis, developing new drugs to treat schistosomiasis is crucial. Oxadiazole-2-oxides have been identified as potential anti-schistosomiasis reagents targeting thioredoxin glutathione reductase (TGR). Methods In this work, one of the oxadiazole-2-oxides derivatives furoxan was used as the lead compound to exploit a series of novel furoxan derivatives for studying inhibitory activity against both recombinant Schistosoma japonicum TGR containing selenium (rSjTGR-Sec) and soluble worm antigen protein (SWAP) containing wild-type Schistosoma japonicum TGR (wtSjTGR), in order to develop a new leading compound for schistosomiasis. Thirty-nine novel derivatives were prepared to test their activity toward both enzymes. The docking method was used to detect the binding site between the active molecule and SjTGR. The structure–activity relationship (SAR) of these novel furoxan derivatives was preliminarily analyzed. Results It was found that several new derivatives, including compounds 6a–6d, 9ab, 9bd and 9be, demonstrated greater activity toward rSjTGR-Sec or SWAP containing wtSjTGR than did furoxan. Interestingly, all intermediates bearing hydroxy (6a–6d) showed excellent inhibitory activity against both enzymes. In particular, compound 6d with trifluoromethyl on a pyridine ring was found to have much higher inhibition toward both rSjTGR-Sec (half-maximal inhibitory concentration, IC50,7.5nM) and SWAP containing wtSjTGR (IC50 55.8nM) than furoxan. Additionally, the docking method identified the possible matching sites between 6d and Schistosoma japonicum TGR (SjTGR), which theoretically lends support to the inhibitory activity of 6d. Conclusion The data obtained herein showed that 6d with trifluoromethyl on a pyridine ring could be a valuable leading compound for further study.


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