December 14, 2025
About LabKey
Therapeutic proteins are now a major part of modern drug pipelines- antibodies, Fc‑fusion proteins, enzymes, ADCs, cytokines, and more. They promise targeted, powerful therapies, but they also bring complex, multi‑step workflows and a lot of data.
Many labs start with a generic “samples and tests” LIMS, plus a mix of ELN software and spreadsheets. That can work for simpler small‑molecule or QC workflows. But as your therapeutic protein programs grow, it becomes harder to follow each molecule from sequence to vial, and to keep screening and analytical data connected.
A therapeutic protein LIMS is a laboratory information management system designed around these specific biologics workflows and entities. Below, we’ll look at the core functions it should support and how to tell if your lab is ready for one.
Core Functions of a Therapeutic Protein LIMS
At a practical level, a therapeutic protein LIMS should do three things very well: keep track of each molecule’s journey, organize high‑throughput discovery work, and connect analytical results back to the materials they describe. The sections below walk through these core functions and what they look like in day‑to‑day use.
Capturing the Full Lineage from Sequence to Purified Material
A cornerstone function of a therapeutic protein LIMS is the ability to follow each molecule from design to vial.
The system should model key entities such as:
- Sequence or construct
- Expression vector
- Cell line or host
- Harvest and intermediate materials
- Purification intermediates
- Final drug substance or drug product
With these entities and relationships in place, teams can quickly answer questions like:
- Which sequence and process produced this vial?
- Which vials, lots, or batches came from this construct?
- What changed between two production runs that led to a different outcome?
Instead of reconstructing history from spreadsheets and email, scientists and operations teams can open a single lineage view and trace the full path from sequence to purified material.
Supporting High-Throughput Screening and Hit-to-Lead
Early discovery work for therapeutic proteins often involves a large number of constructs and variants. High‑throughput screening produces many plates, wells, and readouts in a short period of time.
A therapeutic protein LIMS should make it easy to:
- Manage plate‑ and well‑level data for binding, potency, or developability screens
- Track hits and their source constructs across multiple rounds of screening and characterization
- Capture engineered variants and follow‑up experiments alongside the original hits
Instead of juggling plate maps, CSV files, and ad‑hoc trackers, teams should be able to see at a glance which constructs are emerging as leads, what screening they have gone through, and what the next steps should be. This becomes especially important when managing hundreds of mini‑protein or antibody variants in parallel. Without a structured system, it is easy for promising candidates, or critical context about them, to get lost.
Linking Analytics and Developability Attributes
Characterizing therapeutic proteins depends on a wide range of analytical methods. Typical assay types include:
- Intact mass and peptide mapping
- Purity and aggregation (for example, SEC or DLS)
- Potency and functional assays
- Binding kinetics and affinity measurements
A therapeutic protein LIMS should capture the results of these assays against the correct material and batch, not just as stand‑alone files. It should also store key developability attributes in a consistent, queryable way, such as:
- Aggregation propensity
- Stability under different conditions
- Charge variants and other product quality attributes
When these attributes are linked to specific constructs, lots, and processes, teams can compare developability profiles across candidate molecules directly inside the LIMS. This makes it much easier to identify patterns, select the most promising candidates, and understand the impact of process changes over time.
How to Tell If Your Lab Needs a Therapeutic Protein LIMS
Even a well‑run lab can outgrow generic tools. This section focuses on signals—what it feels like when your current LIMS, ELN, and spreadsheets can no longer keep up with your therapeutic protein programs.
You may be reaching the limits of your current setup if:
- Answering basic lineage questions (for example, “what produced this vial?”) requires digging through ELNs, spreadsheets, or shared drives
- High‑throughput screens are tracked in separate plate maps and CSVs with little connection to constructs or follow‑up work
- Analytical and developability data live in siloed systems that are hard to link back to specific constructs, lots, or conditions
- You’re managing, or planning, multiple therapeutic protein programs with increasing overlap across teams
- You need to follow molecules from sequence and construct through expression, purification, and analytics, not just “samples and tests”
- You’re starting to think about IND/BLA documentation, comparability, or biosimilar‑style analyses and struggling to assemble a complete data picture
If several of these sound familiar, it’s a good sign that a therapeutic protein‑specific LIMS is worth evaluating.
Evaluating Therapeutic Protein LIMS Options
If you are starting to see those signals, the next step is to evaluate options in a structured way. Rather than jumping straight into vendor lists, it helps to ground the process in your own workflows and data flows, then use that view as your evaluation checklist.
A simple way to start is to sketch one representative molecule’s path through your lab:
- Sequence and construct design
- Expression and purification
- Key analytical and developability assays
- Major decisions or hand‑offs along the way
Then note the main entities and decisions along that path (for example, constructs, vectors, cell lines, intermediates, lots, and vials) and where related data lives now (ELNs, instruments, homegrown tools, file shares, or an existing LIMS).
With that picture in hand, you can ask each potential LIMS a few focused questions:
- Can it represent these entities and relationships without excessive customization?
- How does it handle plate‑based work and analytics for therapeutic proteins?
- Can it give you end‑to‑end lineage and audit trails you can stand behind later?
- Will it integrate cleanly with the systems you already rely on?
The goal is not just to digitize today’s spreadsheets, but to put a foundation in place that will still work when your pipeline and team are larger and more complex.
Biologics LIMS for Therapeutic Protein Pipelines
A dedicated therapeutic protein LIMS is not the first tool every lab needs, but it can become critical as programs scale and expectations around data integrity grow. LabKey Biologics LIMS is specifically designed for biologics and therapeutic protein workflows, with a data model and workflows that support these core functions—capturing lineage, supporting high‑throughput screening, and linking analytics and developability data across teams.
If you are starting to see the limits of generic systems, it is a good time to take a closer look at Biologics LIMS.
Take a Biologics LIMS tour or book a demo to get a clear view of how it can map to your constructs, assays, and programs, and whether it is the right fit for your lab’s next stage of growth.
