Stop screening every antibody variant equally
Antibody discovery support
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.
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.
Interaction level priority
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
Focus list
Conditions can change the observed outcome
PRIORITIZED OUTPUT
Generate fewer assays.
Learn more from each one.
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.
construct design and assay format
should be documented alongside computational hypotheses.
Rank order, interface rationale, uncertainty, and practical experimental comparators support the next assay decision
The bottleneck is often not generating variants. It is deciding which variants deserve the next assay.
Build a focused shortlist—not just a score
CAPACITY
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
A brief project overview is enough for the initial conversation. Confidential data can be shared securely after the call and, if required, under an NDA.
Not sure whether your data are ready?
Your team tests the prioritized candidates using the most appropriate experimental assay.
We compare the results with the computational ranking, explain agreements and discrepancies, and refine the next round when follow-up analysis is included in the project scope.
We compare the results with the computational ranking, explain agreements and discrepancies, and refine the next round when follow-up analysis is included in the project scope.
6.Validate and refine
You receive a clear ranked table, mutation-level rationale, interface maps, confidence notes, and a focused shortlist. The result answers a practical question: which candidates deserve expression, measurement, and comparison in the next wet-lab cycle?
5. Receive a decision-ready shortlist
We compare candidates using the agreed structural and interaction workflow. Each variant is evaluated consistently for predicted effects on the binding interface, molecular contacts, and relevant risk factors, with clear confidence notes included alongside the ranking.
4.Analyze and rank candidates
Before calculation, we review chain identities, sequence and structure coverage, missing residues, interface definition, ligand or cofactor states, and relevant assay context. We document assumptions and flag limitations.
3. Confirm data readiness
Provide what you already have:
PDB or mmCIF structures, FASTA sequences, mutation or candidate lists, antigen information, and optional assay data.
If a reliable 3D structure is unavailable, sequence-led modeling can be added to the project.
PDB or mmCIF structures, FASTA sequences, mutation or candidate lists, antigen information, and optional assay data.
If a reliable 3D structure is unavailable, sequence-led modeling can be added to the project.
2. Share your available data
Tell us what your team needs to decide: which antibody variants to express, test, or advance. We translate this into a focused comparison plan and agree on the scope, timeline, required inputs, and success criteria before the analysis begins.
- Define the research question
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.
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
- Live availabilityCurrent times from Google Calendar
- Email confirmationBooking details sent by Google
Please provide a brief overview of your research question. Confidential project data can be shared securely after the initial call and, if required, under an NDA.
View available times Google Calendar booking
Choose a time that works for you
Open the live booking page to see current availability. Google Calendar will guide you through the remaining steps.
- 1Select a timeChoose from the currently available slots.
- 2Add your detailsA work or personal email is fine for an initial conversation.
- 3Receive confirmationGoogle sends the appointment information by email.
Opens the official Google Calendar booking page in a new tab.
