Register Now: Beyond EDC: Designing a Connected Data Strategy for Predictive Clinical Development
|Articles|September 7, 2016

Large vs. Small Molecule Success Rates

CHICAGO, Illinois – A recent assessment of R&D success rates reveals that large molecules continue to outperform small molecules, particularly in the early phases of Development.   Overall, from start of GLP Tox to Approval, small molecules have a 5% chance of success compared to 13% for large.   In Preclinical small molecules have a 63% rate of success vs. 79% for large molecules; the difference in Phase I is 41% for small molecules vs. 52% for large. The only phases where there is a statistically significant variance (p < .05) in molecule size is in Preclinical and Phase I, but large molecules tend to have higher rates in all phases.   In recent years, Phase I has been relatively stable for both small and large molecules, while Phase II has shown significant improvement for small molecules while large molecules have had their rates decline. In Late Development (Phase III and Registration) both small and large molecules have improved success rates.   This is based on data released by the Pharmaceutical Benchmarking Forum, a group of large biopharma which integrates R&D productivity data and analyzes performance and trends.  

Notes: “Small” refers to chemical molecules; “Large” refers to biologics (including peptides); vaccines are excluded; “Industry Portrait” means all data from contributing companies is combined into single analysis (as if they were a single company)   Pure method employed: for given molecule size, all in-licensed/acquired NMEs excluded from calculation for the phase in which they entered, but included for all subsequent phases   Method to calculate Success Rate: (number of small molecule successes in phase) / ((number of small molecule terminations in phase) + (number of small molecule successes in phase)); same method applied for large molecules   Percent calculated to achieve 1 Approval for small molecules: apply multiplier method for each phase for small molecules (e.g., Phase 2 rate starts with Industry Phase 2 success rate and multiplies all subsequent phase success rates); same method applied for large molecules   The PBF was organized in 1997. In 2016 the following submitted R&D data: AbbVie, Allergan, Bayer, Boehringer Ingelheim, Bristol-Myers Squibb, Eli Lilly, Johnson & Johnson, Merck Research Labs, Novartis, Pfizer, Roche, Sanofi, Takeda.   About the Pharmaceutical Benchmarking Forum (PBF) Formed in 1997, the Pharmaceutical Benchmarking Forum (PBF) consists of many of the world’s leading pharmaceutical companies and has emerged as the Industry’s premier source on R&D performance metrics. Its focus is to employ careful analysis of R&D data to compare performance, examine Industry trends, answer critical business questions, and identify best practices. The scope of the Forum extends across the full R&D spectrum, from a detailed examination of Discovery to an annual review of R&D performance, including productivity, success rates, cycle time, and pipeline. In addition to its flagship study on R&D performance, the PBF sponsors additional studies on topics of interest to the Industry. These specialist studies range from the evaluation of project cost to an in-depth look at biologics R&D.   About KMR Group KMR has been working exclusively in the biopharmaceutical R&D industry since the early 1990s. KMR is a leader in benchmarking, analytics and performance management as well as a developer of proprietary analytics software. With an exclusive focus on biopharmaceutical R&D and unrivaled commitment to data quality, KMR provides industry with the experience and knowledge to produce clear and uncompromising results in the form of reports, tools and presentations. We use our extensive, unparalleled datasets and experience within the industry to add value to the most pressing business questions. Please visit our website at https://kmrgroup.com


Related to this article

What Needs to Happen Beyond the Clinical Trial Modernization Act
In this video interview, Kent Thoelke, CEO of Paradigm Health, calls for safe harbor protections, CMS reimbursement safeguards, and funding mechanisms modeled on EHR meaningful use to help community and rural institutions participate in research on par with academic centers.
Building AI Assistants Clinical Trial Teams Can Trust: Q&A with E.K. Koh, Suvoda
In this Q&A, E.K. Koh, chief product officer at Suvoda, discusses what separates a trustworthy AI assistant from one that adds risk, why curated clinical knowledge matters more than general-purpose flexibility, and what safeguards must be in place when assistants move from answering questions to taking actions in clinical trial systems.