Drug discovery research is extraordinarily data-heavy. A single program can generate vast amounts of diverse data over months and years, and incorporate a range of assays performed across multiple teams and organizations. Traditional methods for handling data are not fit for purpose in the data-intensive, time-pressured environments of modern laboratories. The use of paper notebooks, isolated spreadsheets, and basic electronic laboratory notebooks (ELNs) can lead to siloed data and fragmented systems that hinder efficiency and endanger reproducibility. BioRailsTM is a tool purpose-built for biologists conducting complex drug discovery. In this article, we’ll look at the challenges facing drug discovery labs and explore how BioRails was designed to enable faster, more reliable research through better data and workflow management.
Why Drug Discovery Demands Better Tools
There are several characteristics associated with successful drug discovery: reproducibility, accuracy, traceability, and standardization are all essential for effective ADME and DMPK research1,2. Underpinning all of these characteristics is effective coordination. Without shared protocols and standardized workflows, reproducibility between different researchers and teams will start to erode. Manual data handling across disconnected systems introduces opportunities for error at each stage of data collection and analysis, increasing the likelihood of transcription mistakes and version differences. When experimental conditions, reagents, and protocols aren’t captured systematically in a shared environment, accurate reproducibility becomes difficult or impossible.
Furthermore, ADME and DMPK research generates highly heterogeneous data (dose-response curves, pharmacokinetic profiles, binding assay readouts) that require specialized tools. However, many traditional methods for managing discovery workflows and data can actively hinder coordination. Paper notebooks keep data physically siloed, difficult to search, and vulnerable to damage or loss. Similarly, isolated spreadsheets are prone to version errors, inconsistencies across users, and fragment the overall data landscape. While they are an improvement on paper notebooks, basic ELNs are typically designed for data capture and have few capabilities for organizing workflows and coordinating multiple users3. Generic data management tools are not built with the specific data types and workflows of ADME and DMPK research in mind, and require significant workarounds.
As such, drug discovery labs need tools designed explicitly to coordinate complex experiments.
What is BioRails?
BioRails is an integrated, modular platform developed by Instem and purpose-built for biologists working in early-phase drug discovery, particularly in ADME and DMPK research. While traditional tools are typically limited to data capture, BioRails supports the entire research workflow. This includes managing materials and inventory, coordinating assay scheduling, collecting and integrating experimental data, and providing tools for analysis and reporting.
BioRails is designed for use by pharmaceutical and biopharmaceutical research teams as well as CROs and replaces disconnected software that characterizes many discovery labs with a unified environment in which data is centralized, and workflows are standardized. While not designed for GxP workflows, BioRails operates effectively in the early-phase, lead optimization stage of drug discovery and supports electronic signatures and a range of CFR 21 Part 11 features.
How BioRails Works: An End-to-End Workflow
BioRails is built to work throughout interconnected stages of data collection and analysis, with dedicated modules supporting each stage.
Preparation: BioRails ensures the foundations for good data collection are in place before an experiment begins. BioRails INV™, the platform’s barcode-driven inventory management module, tracks reagents and materials in real time, preventing shortages and streamlining assay preparation. Alongside it, BioRails MT™ handles the registration and management of materials.
Scheduling: BioRails PTO™ acts as a centralized hub for tracking, planning, and scheduling. It ensures that assays are performed on time and to the correct specifications, and enables disparate teams to manage work without conflict or duplication.
Data Collection: Data collection is managed by BioRails DM™, which integrates and stores both structured and unstructured experimental data, and Morphit™, a workflow automation tool that removes the need for manual data handling. Together, they ensure that data is captured accurately and consistently, and can be moved cleanly into downstream analysis.
Analysis and Reporting: BioRails DM™ and Morphit™ continue to provide robust support throughout analysis and reporting, while BioHub™ can act as a secure, centralized knowledge bank to enable fast access.
Key Benefits of BioRails
Integrating BioRails throughout workflows can have a cumulative impact as improvements at each stage compound to deliver benefits in key areas.
Faster Decision-making: Rapid data collection, analysis, and reporting from studies means researchers can act on results quickly, without waiting on manual processes or fragmented systems.
Increased Efficiency: By automating inventory checks, scheduling, quality control, and reporting, BioRails frees researchers to focus on science rather than administration.
Enhanced Discovery: With data well-organized and readily accessible, scientists can spend more time generating insights and less time chasing information.
Simplified Collaboration: Standardized workflows and centralized data mean teams, including external collaborators and CRO partners, work from the same page, reducing miscommunication and errors.
Security and Scalability: Scalable architecture, on-premises deployment, and flexible licensing make BioRails viable for organizations of all sizes.
Who is BioRails For?
BioRails is designed specifically for biologists performing complex drug discovery processes, particularly in ADME and DMPK research. This can include:
- Pharmaceutical and biopharmaceutical research teams working in early-phase, non-GLP drug discovery, particularly those running programs where data complexity is high, and timelines are tight
- CROs managing diverse client portfolios and high-throughput screening programs, where workflow standardization, data quality, and turnaround time are critical
- Research teams outgrowing their current tools or struggling to keep pace with the scale and complexity of their work.
- Teams prioritizing data integrity and collaboration, particularly those working across multiple sites or with external partners, where a single hub for experimental data is essential.
Conclusion
Drug discovery is complex and data-intensive. Researchers need tools that act as enablers to rapid discovery, rather than inhibitors. BioRails was built on the recognition that effective discovery research demands more than data storage: it requires a platform that actively supports the entire experimental workflow, from preparation to analysis and reporting. By centralizing data, standardizing workflows, and automating experiment management, BioRails gives research teams the infrastructure to work with greater speed, accuracy, and confidence.
To find out more about how BioRails could support your research workflows, request a demo today.
References
1. Mak KK, Epemolu O, Pichika MR. The role of DMPK science in improving pharmaceutical research and development efficiency. Drug Discov Today. 2022;27(3):705-729.
2. Tsaioun K, Blaauboer BJ, Hartung T. Evidence-based absorption, distribution, metabolism, excretion (ADME) and its interplay with alternative toxicity methods. Published online 2016.
3. Higgins SG, Nogiwa-Valdez AA, Stevens MM. Considerations for implementing electronic laboratory notebooks in an academic research environment. Nat Protoc. 2022;17(2):179-189.
