Drug Development
An automated approach to solving Pharma’s cardiac toxicity conundrum
The pharmaceutical industry is facing ever-growing difficulties in developing new drugs and bringing them to market1,2. Many factors stand in the way of R&D productivity, not least of which are shrinking budgets. Yet one of the most pressing challenges continues to be the issue of ensuring that new drug candidates have an acceptable safety profile.
By Beppy van de
Waart, Dr Walter Westerink and Dr Nuria Piñeiro Costas
I
n an effort to avoid surprises far along the drug-development road, pharmaceutical com- panies are making it a priority earlier in the process to test for toxicity – especially for high- prevalence liabilities such as hERG cardiac toxici- ty3. But these tests are feasible only by using high- er throughput methods that demand a small amount of compound4. The recent introduction of automated patch clamp platforms that deliver high-quality data has enabled this much-needed hERG profiling earlier in drug discovery during lead optimisation, helping pharmaceutical compa- nies spend their resources wisely5.
This review discusses the application of auto- mated patch clamp platforms during lead optimi- sation and thoroughly explores advantages and disadvantages of various platforms in use today. Several examples from the evaluation of the auto- mated patch clamp platform CytoPatch (Figure 1)
60
at WIL Research, a global contract research organ- isation, are also shown.
The business risk of innovative drug candidates
Pharmaceutical companies spend tremendously on drug research and development, pouring resources into every phase: target finding, lead finding, lead optimisation, preclinical development, and Phase I- III clinical development. And that is before mar- keting costs are factored in. Yet, despite a marked increase in spending over the past decade, the industry is putting forth fewer new drug candidates; the number of applications filed to FDA’s Center of Drug Evaluation and Research declined to 23 in 2010 from 45 in 1996. Analysis of a database with 28,000 R&D proj- ects shows that the attrition rates in all phases of drug development have increased significantly2.
Drug Discovery World Spring 2013
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52 |
Page 53 |
Page 54 |
Page 55 |
Page 56 |
Page 57 |
Page 58 |
Page 59 |
Page 60 |
Page 61 |
Page 62 |
Page 63 |
Page 64 |
Page 65 |
Page 66 |
Page 67 |
Page 68 |
Page 69 |
Page 70 |
Page 71 |
Page 72 |
Page 73 |
Page 74 |
Page 75 |
Page 76 |
Page 77 |
Page 78 |
Page 79 |
Page 80