Biologics discovery workbooks

Bioinformatics workbooks for traceable discovery.

Bionamic gives discovery scientists spreadsheet-style workflows for sequence-rich biologics data, with molecules, analyses, annotations, and decisions kept connected.

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Scientists working with connected biologics discovery data
The problem

Sequences in one place, assays in another, decisions in slides.

Discovery work does not move in straight lines. Scientists need room to explore, branch, compare, restart, and change their minds. Traditional systems often capture the record after the fact. Spreadsheets stay flexible, but lose the biological context.

Disconnected discovery data Sequences, assays, and decisions sit in separate places with broken connections between them. Sequences Assays Decisions
Sequences FASTA files, ABI, GenBank, features, ...
Assays Binding, expression, developability, structure, ...
Decisions Spreadsheets, slides, servers, ELNs, ...

Keeping the sequece-assay-decisions loop dynamic, intact and tracable is a significant challenge in most settings.

Use cases

Example workflows for complex molecules.

These are example use cases, not the boundary of the product. Bionamic is designed to adapt to project-specific settings, customer-wide guidelines, and fully custom tools when the workflow needs them.

01

Annotate and profile developability.

Move from raw sequences to a workbook with rich molecule records annotated with all the features improtant for your decision-making.

Step 1

Start with a sequence table.

Paste sequences from Excel or import them from FASTA files. In this example, VH and VL antibody sequences are added to a workbook table for profiling.

Bionamic workbook table with VH and VL antibody sequences
Step 2

Build and annotate molecules.

Run functions directly from the spreadsheet to build molecules and add sequence annotations such as numbering, PTM motifs, and CDR ranges. Results appear in the same table, with no detached output files.

Bionamic workbook showing built VH-VL molecules and sequence annotations
Step 3

Profile molecules.

Extend the table with developability predictions and calculated properties such as immunogenicity, structural solubility, aggregation propensity, and other project-specific risk signals.

Customizable by design

Annotation rules, liability definitions, prediction tools, and output columns can reflect a combination of project-specific priorities and customer-wide guidelines.

02

Build ELN-ready biomolecules.

Prepare annotated antibody records for ELN systems such as Revvity Signals without flattening biologics complexity into manual copy-paste fields.

Step 1

Design and build molecules.

Build and analyze rich biomolecules directly inside workbooks.

Bionamic workbook for designing and building antibody molecules
Step 2

Create structured records.

Validate formats and information before posting it into ELN registries like Revvity Signals.

Built for customer-specific Signals implementations

The same pattern can adapt to different material libraries, required fields, naming rules, image fields, asset models, and batch policies.

03

Custom workflow for mapping sequence and structure space.

Analyze thousands of predicted VH-VL structures by embedding surface-property maps with UMAP. Integrated workbook tools help reveal clusters driven by structural properties, not only sequence similarity.

Custom workflow

Explore structure-space clusters with UMAP.

Predicted VH-VL structures are converted into surface-property maps, then embedded with UMAP inside the workbook. This helps teams investigate structural-property clusters that may not be visible from sequence similarity alone.

Open-ended analysis space

The same workbook structure can host new embeddings, descriptors, clustering methods, or organization-specific candidate selection rules.

Custom by nature

We’re betting your workflow isn’t generic.

Good. Bionamic brings proprietary scaffolds, custom AI models, third-party platforms, and project-specific rules into one traceable workbook.

Revvity Signals

Make annotated biologics data ready for Signals.

For teams implementing Revvity Signals, Bionamic can act as the biologics-aware preparation layer: build molecules, annotate sequences, calculate properties, map metadata, and submit clean records into material libraries.

Discuss a Signals workflow
  1. Start from a workbook table of sequences, chains, or constructs.
  2. Build annotated antibody or protein molecules.
  3. Calculate molecular and developability properties.
  4. Register structured assets and batches in Signals.
About

Founded at the intersection of biologics, bioinformatics, and software.

Bionamic is based in Lund, Sweden, and was founded in 2019 by a team whose background spans research at Scripps, theoretical physics at Princeton and CERN, bioinformatics consulting, and product engineering for modern software platforms.

We turn that mix of perspectives into scientific software for teams working with complex biologics data. Bionamic keeps the flexible way scientists already work, but makes the data connected, molecular, and traceable.

Anders Carlsson

Anders Carlsson, Ph.D.

CEO and co-founder
Morten Krogh

Morten Krogh, Ph.D.

CTO and co-founder
Next

Bring us the messy workflow.

If your team is trying to make sequence-rich biologics data usable across discovery, analysis, and ELN registration, Bionamic was built for that kind of beautiful mess.

Contact Bionamic About the company