In the digital age, the ability to trace, manage, analyze, and integrate extensive data plays a pivotal role in pharmaceutical research. Effective data management is a critical aspect of early drug discovery research and a cornerstone to informed decision-making to accelerate the drug discovery process.
The therapeutics discovery field encounters substantial expenses to discover and develop safe and efficacious new medicines, partly attributable to the increasing amount and intricacy of data generated throughout the research and development stages.
Estimates suggest that out of every 5,000 potential drug candidates, merely one eventually evolves into a marketable product. As research accelerates, the significance of effective data management becomes paramount. The immense daily volume of scientific data within the life sciences industry necessitates that companies establish well-defined data management approaches.
Data management at Pivot Park Screening Centre
Thanks to the state-of-the-art automation and screening infrastructure, Pivot Park Screening Centre generates 100,000-300.000 data points in a typical day. Appropriate IT infrastructure is required to enable automated data tracking, processing, and visualization in a secure environment to ensure robust screening operations. PPSC uses several custom-made and commercial software solutions to automatically track, trace, integrate, analyze, and visualize all data associated with test samples.
After automated data generation and analysis, the quality and accuracy of the data are also inspected by scientists. This additional layer of quality control includes data validation, data cleaning, and dealing with missing values to minimize errors in analysis. Two independent scientists always do this analysis to reduce the risk of biased mistakes.
Findable, Accessible, Interoperable, and Reusable (FAIR) data storage and management are important factors to accelerate discovery. Pivot Park Screening Centre is ISO 9001:2015 and ISO/IEC 27001:2013 certified, so you can be sure your data is stored securely and organized.
We employ various data analysis techniques such as statistical analysis, cheminformatics, machine learning, and data mining to extract meaningful insights from the data. This primarily involves identifying, triaging, and validating hits, identifying early Structure-Activity Relationship (SAR) for your compounds, mode-of-action, as well as cross-program analysis to identify ‘frequent hitter’ based on readout modalities, biological targets, and assay types.
To make complex and large data sets more understandable, they are presented and visualized in various manners to help the decision-making processes. For instance, data is visualized as heatmaps or aggregated across several datasets, pharmacological parameters are calculated and visualized appropriately, and chemical clusters are generated through statistical and cheminformatic approaches. Ultimately, all data is shared with the customer, and Pivot Park Screening Centre provides recommendations on which compounds to choose for further investigation.
Opting for Pivot Park Screening Centre in your screening project guarantees access to high-quality data for your compounds and valuable additional information to ensure the selection of the most promising candidates for your biological targets and phenotypes.
Why is data handling important?
Effective data handling in early drug discovery can significantly accelerate the drug discovery process, reduce costs, and increase the likelihood of tractable chemical starting points. To achieve this, at Pivot Park Screening Centre, a multidisciplinary approach involving chemists, biologists, data scientists, and IT professionals work together efficiently.
In conclusion, your partner in early drug discovery combines its expertise, the right tools, and data security to support you in your drug discovery efforts.
