Stop screening every antibody variant equally.
Antibody discovery support
Tilda Publishing
Structure-aware antibody–antigen ranking for teams deciding which variants to express, measure, and compare. Receive mutation-level rationale, interface maps, confidence notes, and a focused validation shortlist.
evidence supports experimental prioritization. Final candidate selection remains an experimental and scientific decision.
One decision
which candidates deserve the next wet-lab cycle
15–25 days
3 input paths
variants in a typical focused ranking scope
10–50
typical analysis window after data readiness and scope approval
variants in a typical focused ranking scope
Conditions can change the observed outcome
A single score rarely explains the decision
Generate fewer assays. Learn more from each one.
Variant lists grow faster than validation capacity
Expression, purification, ELISA, SPR, BLI and stability work consume material, instrument time, and scientist attention.
Temperature, ionic strength, buffer, construct design and assay format should be documented alongside computational hypotheses.
Researchers need rank order, interface rationale, uncertainty, and practical experimental comparators—not an unexplained number.
The bottleneck is often not generating variants. It is deciding which variants deserve the next assay.
Developability context
Flag trade-offs that could matter before a variant advances into a larger experimental package.
- Stability and aggregation flags
- Solubility trend hypotheses
- Condition-sensitivity notes
Interface & hotspot analysis
See the structural basis behind a recommendation and identify residues that may control recognition.
- Epitope and paratope contacts
- Key residue mapping
- Mutation and alanine-scan hypotheses
A ranked shortlist with a scientific reason.
Designed for antibody teams that need to connect structural hypotheses to a smaller, more informative experimental campaign.
Relative affinity ranking
Compare candidate variants and identify binding trends worth testing in a calibrated experimental panel.
- Variant ordering
- Relative binding hypotheses
- Competition or binding-shift context
Start with the data you have
Three practical input routes
The first step is a data-readiness check.
BinomLabs selects the analysis route and documents assumptions before work begins.
BinomLabs selects the analysis route and documents assumptions before work begins.
Assay-guided calibration
An optional addition to the first or second scheme. SPR, BLI, ELISA, ITC, or DSC results are used to provide computational ranking and analysis of agreement or disagreement with the experiment.We can use results to calibrate the ranking and explain agreement or mismatch with experiment.
Not Known complex structure
Sequence-led project
FASTA sequences are used to build or select structural models before interface analysis and candidate ranking.
FASTA sequences are used to build or select structural models before interface analysis and candidate ranking.
- MODELING ADD-ON
Known complex structure
Antibody–antigen complex supplied as PDB or mmCIF, with candidate mutations and experimental context.
- MOST DIRECT ROUTE
Choose this route when a reliable antibody–antigen complex is already available 3D structures. We can proceed directly to interface analysis, mutation assessment, and candidate ranking.
Choose this route when you have antibody and antigen FASTA sequences but no usable 3D complex. Structural models must be prepared and checked before interface analysis and candidate ranking can begin.
Pricing
Base analysis price
Base analysis price
Pricing
Pricing is confirmed after a short review of data format, consistency, and the number of reference measurements.
Pricing
BASE PRICE + MODELING
Optional data-calibration add-on
One decision at a time.
A narrow scientific question creates a report that is easier to validate and easier to use.
A narrow scientific question creates a report that is easier to validate and easier to use.
- Define the task
Specify the candidates, molecules,
assay, and the decision the team must make clarify goals, then translate them into practical requirements. We fix scope, timeline, and success metrics so decisions stay aligned.
assay, and the decision the team must make clarify goals, then translate them into practical requirements. We fix scope, timeline, and success metrics so decisions stay aligned.
2. 3D or Sequence?
Check inputs data. Confirm structures or sequences, mutations, chains,
conditions, and data quality.
We build a navigation, and logic so people understand where to go next.
conditions, and data quality.
We build a navigation, and logic so people understand where to go next.
3. Design/Run
Run focused analysis. Evaluate relative binding, interface evidence,
and relevant trade-offs. Produce a priority set, comparators, rationale,
uncertainty, and next assays.
and relevant trade-offs. Produce a priority set, comparators, rationale,
uncertainty, and next assays.
4. Launch experiment
Compare with experiment. connect analytics and experiments. Compare with experiment.
An additional 7 experimental priority checks (if specified in the contract)
An additional 7 experimental priority checks (if specified in the contract)
Decision-ready outputs,
not a black box
not a black box
Every result should show what is recommended, why it is recommended, and what should be measured next.
Scientific review
A live interpretation session connects
the computational findings to construct design and assay planning.
the computational findings to construct design and assay planning.
- Results walkthrough with a BinomLabs specialist
- Discussion of discordant or uncertain candidates
- Prioritized next-step hypotheses
- Exportable summary for internal discussion
Candidate ranking package
A concise set of materials designed for the scientist planning the next validation cycle.
- Ranked candidate table with reference comparisons
- Interface and key-residue maps
- Confidence and assumption notes
- Suggested focused validation panel
For biotech and pharmaceutical teams evaluating larger candidate sets, including projects without a ready-to-use 3D complex structure.
Expanded ranking
from 31 up to 120 antibody-antigen complex modifications
from 31 up to 120 antibody-antigen complex modifications
For academic teams evaluating a defined set of proposed antibody modifications within one antibody–antigen system.
Choose your laboratory plan
Usable 3D antibody–antigen complex required
Proposed antibody modifications
31-120
Proposed antibody modifications
Usable 3D antibody–antigen complex required
Usable 3D antibody–antigen complex required
< 31
$500/ month
from $1500/ month
- More than 40 and up to 120 modifications per agreed analysis batch from $500 till $1500
- 3D complex structure modeling/reconstruction
- Expanded candidate comparison and prioritization from $200
- Up to 4 named users from $100 per each one
- Priority handling and scientific review
Small research subscription
Expand research subscription
Focused ranking for up to 30 modifications
- Up to 30 modifications per agreed analysis batch
- Client provides a usable PDB/mmCIF complex
- Relative affinity ranking and interface maps
- Up to 2 laboratory users
- Standard support and result exports
-15%
-20%
Year
6 months
the project duration is approximately 1.5 months
affordable prices for your easy start
Scientific consultation
Book a 30-minute project-fit call
Bring one research decision you would like to discuss. We will identify the most useful BinomLabs route and the inputs needed to begin.
- 30 minutesFocused scientific discussion
- Google MeetMeeting link after confirmation
- Email verificationWill be required in the connected calendar
Please describe your question at a high level. Do not enter confidential sequences, structures, compound data, or unpublished results here.
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- Date and time
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- Organization
- Research question
Interface preview only. A meeting will be created after we connect this block to your Google Appointment Schedule.
Interface test completed
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