Biotech–pharma alliances: Strategies, structures and financing

10.5912/jcb91 ◽  
2004 ◽  
Vol 10 (4) ◽  
Author(s):  
Tyzoon Tyebjee ◽  
Jill Hardin

The drug discovery and development industry is under intense pressure to become more efficient and develop drugs better, faster, cheaper. Consequently, pharmaceutical and biotechnology companies are entering into alliances in an effort to utilise each other's talents, exploit each other's specialisations, and create more value. In this paper, the economics of the drug discovery and development cycle are examined to identify the economic and strategic logic of the alliances. The financial instruments commonly used to structure the alliances are discussed with example case studies.

2013 ◽  
Vol 19 (3) ◽  
Author(s):  
Dianne Nicol ◽  
Johnathon Liddicoat ◽  
Christine Critchley

The orthodox business model of many drug discovery and development companies centres on adding value to early-stage discoveries prior to engaging with large pharmaceutical companies to bring products to market. Anecdotal observations suggest some companies are moving to a ‘virtual’ business model - instead of employing in-house scientists, a skeletal management team runs the company and out-sources all research and development. This article presents a novel method to determine whether companies are virtual, based on author bylines in peer-reviewed journal articles. Applying this method to Australian companies in this sector, the size of the cohort identified as virtual was much larger than anticipated, around 52%. The accuracy of this method has been verified statistically using interview data. This article discusses the value and limitations of this method, positing that it can be used to analyse industry and policy implications that may result from widespread adoption of the virtual model


2020 ◽  
pp. 095042222096934
Author(s):  
Leonard Kelleher ◽  
Anna Zecharia

UK drug discovery and development is increasingly being shaped through a complex interaction of research, policy and practice. However, our understanding of this innovation system is partially due to the dearth of systems-level empirical studies and to simplistic conceptual approaches. This study uses a Triple Helix systems approach to illustrate how a novel database of Research Excellence Framework 2014 impact case studies may be used both to advance empirical understanding of UK drug discovery and development and for theory development. The authors refine the Triple Helix system by identifying relationships between its three components (academia, government and industry) and various social actors. The paper also make two contributions to practice, concerning the relative unimportance for impact generation of geographical clusters relative to strategic alliances, network linkages and knowledge spillovers, and the strong bias towards national and Anglo-American academic–practitioner linkages with few or no links to emerging knowledge economies.


2020 ◽  
Author(s):  
Sanaa Bardaweel

Recently, an outbreak of fatal coronavirus, SARS-CoV-2, has emerged from China and is rapidly spreading worldwide. As the coronavirus pandemic rages, drug discovery and development become even more challenging. Drug repurposing of the antimalarial drug chloroquine and its hydroxylated form had demonstrated apparent effectiveness in the treatment of COVID-19 associated pneumonia in clinical trials. SARS-CoV-2 spike protein shares 31.9% sequence identity with the spike protein presents in the Middle East Respiratory Syndrome Corona Virus (MERS-CoV), which infects cells through the interaction of its spike protein with the DPP4 receptor found on macrophages. Sitagliptin, a DPP4 inhibitor, that is known for its antidiabetic, immunoregulatory, anti-inflammatory, and beneficial cardiometabolic effects has been shown to reverse macrophage responses in MERS-CoV infection and reduce CXCL10 chemokine production in AIDS patients. We suggest that Sitagliptin may be beneficial alternative for the treatment of COVID-19 disease especially in diabetic patients and patients with preexisting cardiovascular conditions who are already at higher risk of COVID-19 infection.


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