In-silico developability & immunogenicity

Advance antibodies that
reach the clinic

Score a VH/VL sequence for developability liabilities and anti-drug-antibody risk in one report — in seconds, before you commit bench time. Free to try, no account or sales call.

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Built on the methods this field already trustsIMGTKabatChothiaTAPIEDBMAPPs
The problem

One sequence in.
A ranked liability report out.

Most candidates fail on developability or immunogenicity — often after months at the bench. PresciaBio surfaces those liabilities from sequence, on day zero.

2s
Result in your browser
0
Files uploaded
7
Sequence-liability checks
0
Wet-lab runs to screen
Live engine

Try it on a real sequence.

Paste a VH or VL domain and the engine flags chemical-liability and manufacturability hotspots as you watch — the same logic behind the API. It runs in your browser; nothing is uploaded.

DevelopabilityImmunogenicity 🔒
POST /v1/developability
Score
Awaiting sequence

Demo flags primary-sequence motifs. Production scoring is CDR-weighted & structure-aware.

The platform

Everything between a sequence
and a go / no-go decision.

CDR-aware scoring

We number every sequence in IMGT, Kabat & Chothia and weight liabilities by region and exposure. A flag in framework is noise; the same flag in an exposed CDR is a red line.

3

numbering schemes, auto-aligned

Real-time

Sub-2-second scoring, batch-ready for thousands of clones.

ADA risk

MHC-II epitope mapping & anti-drug-antibody scoring on your leads.

Clinical-stage reference

Flag thresholds informed by published clinical-stage antibody profiles (Raybould 2019), reported as green / amber / red.

Pipeline-native

One REST call drops scoring straight into your discovery stack.

Seven chemical-liability motifs, one verdict

Deamidation (NG/NS), isomerization (DG/DS), Met & Trp oxidation, N-glycosylation sequons, unpaired cysteines, and DP fragmentation — surfaced and ranked, with the residue positions called out.

The in-browser demo runs sequence-level liability checks today. CDR-weighting, structure-based metrics, and the immunogenicity module are the production engine, in active development.

Two products, one molecule

Triage everything.
De-risk what matters.

Developability Scanner

Run it on every clone, every round.

  • Chemical-liability & manufacturability flags
  • TAP-style biophysical metrics (structure-based)
  • CDR-aware scoring with full numbering
  • Batch upload, ranked shortlist, exportable report
Premium

Immunogenicity / ADA Risk

The step that protects a whole program.

  • MHC class II binding across a population allele panel
  • CD4⁺ T-cell epitope heatmap
  • ADA risk score + deimmunizing mutations
  • Humanness scoring & germline distance
  • Designed to map to MAPPs & DC–T-cell readouts
The deliverable

What you get back.

One report per candidate: a developability and ADA-risk read, the flagged positions, and where it sits against clinical-stage molecules. An illustrative example:

Candidate
mAb-0421 · VH + VL
Advance with edits
78
Developability
64
ADA risk
PositionRegionFindingRisk
N55–G56CDR-H2Asn deamidation (NG)High
D101–G102CDR-H3Asp isomerization (DG)High
9-mer @ 52CDR-H2T-cell epitope · DRB1*04:01Elevated
M34CDR-H1Met oxidationModerate

Recommendation: engineer out the CDR-H2 NG and CDR-H3 DG motifs; ADA risk is driven by a single CDR-H2 epitope — a candidate for deimmunization. The live demo computes the developability portion in your browser.

Structure

See it on the fold.

Liabilities and epitopes aren't abstract — they sit on the antibody's structure. This is a real intact IgG (PDB 1IGT): heavy chains in cyan, light chains in pink. Drag to rotate.

Loading structure…

Reference structure shown. In a report, your candidate's own model (ABodyBuilder2) is rendered with its flagged residues highlighted.

Validation

Predictions you can check
against the bench.

An ADA prediction is only worth acting on if it tracks what the wet lab and the clinic see. The immunogenicity engine is built on the same biology those assays measure, and is meant to be checked against them.

In silico

What it predicts

MHC class II binding and CD4⁺ T-cell epitope content across a panel of common HLA-DR alleles, using established binding predictors.

Wet lab

What it maps to

The peptides MAPPs (MHC-associated peptide proteomics) recovers, and the responses DC–T-cell and T-cell proliferation assays measure — the usual experimental readouts for T-cell-driven immunogenicity.

Clinic

What it anchors to

Scores are referenced to published clinical anti-drug-antibody rates for approved antibodies, so a low score reads as “in the range of well-tolerated molecules.”

Scope: ADA is multifactorial — aggregation, impurities, dose and route all contribute. This addresses the sequence- and T-cell-epitope component. The methods and benchmarks are from the peer-reviewed literature, not proprietary validation we have not yet run; paired in-silico / wet-lab results will be posted here as we generate them.

FAQ

Questions a scientist asks first.

Does my sequence leave my machine?

No. The scanner runs entirely in your browser — sequences you paste are analyzed locally and are not uploaded to or stored on our servers. If you later use the API or a paid engagement, anything you send is covered by the agreement and treated as confidential.

What does the free scanner actually compute?

Sequence-level liability motifs — deamidation (NG/NS), isomerization (DG/DS), Met/Trp oxidation, N-glycosylation sequons, unpaired cysteines, DP fragmentation — plus estimated pI and net charge. CDR-weighting, structure-based metrics, and the immunogenicity module are the production engine, available through pilots and the paid tiers.

How is immunogenicity risk assessed?

MHC class II binding and CD4⁺ T-cell epitope screening across a panel of common HLA-DR alleles, mapped to what wet-lab assays measure (MAPPs, DC–T-cell). It addresses the sequence- and T-cell-driven component of anti-drug-antibody risk; aggregation, impurities, and dose are separate contributors.

Does this replace wet-lab developability or immunogenicity work?

No. It is for triage and prioritization — it supports, but does not replace, experimental characterization or regulatory assessment.

How do pilots work?

Fixed scope, fixed fee, about one to two weeks. We start with a mutual NDA; you send a small candidate panel; you get a report per candidate — flags with positions, a ranked shortlist, and recommended edits — plus a readout call.

What does it cost?

The scanner is free to use. Paid tiers are published and in early access; pilots are fixed-fee. See Pricing.

Where it fits

Free tools or an enterprise suite —
or one report that does both.

Free academic tools each do one thing. Enterprise suites do everything, behind a sales process. PresciaBio is the focused middle: developability and ADA risk in one self-serve report, priced in the open.

CapabilityFree point toolsEnterprise suitesPresciaBio
Developability flags
Immunogenicity / ADA riskEarly access
Both in one reportSometimes
Instant, self-serve
Published pricingFree
REST API
Runs in your browser, no upload

A generalized comparison of tool categories, not specific vendors. “Early access” = in active development.

Pricing

Start free. Pricing is published.

No gating to find out what it costs. Start on the free tier; paid tiers add full biophysics, batch, and the immunogenicity module.

Free
$0
Numbering, annotation & core flags.
  • IMGT / Kabat / Chothia
  • CDR annotation
  • Core liability scan
  • 5 sequences / day
Try it now
Pro · Scanner
$150/mo · seat
Full developability triage, self-serve.
  • TAP-style biophysical metrics
  • CDR-aware scoring
  • Batch & ranked shortlist
  • Exportable reports · up to 3 seats
Request access
Premium · Immunogenicity
$750/mo · seat
Everything in Pro + ADA de-risking.
  • MHC-II epitope mapping
  • ADA risk + heatmap
  • Deimmunization suggestions
  • Or per report — ~$1,500
Request access
Enterprise
from $20k/yr
API, SSO, on-prem, white-label.
  • Usage-based API
  • White-label for CROs
  • SSO & on-prem option
  • Priority SLA & support
Talk to us

Prices shown are launch drafts for review. The scanner is free to use now; paid tiers are in early access — request access and we'll set you up.

How a pilot works

From sequences to a decision,
in about two weeks.

01

NDA, then send a panel

We start with a mutual NDA. You send a small set of VH/VL candidates — no integration, no setup.

02

We run the read

Developability liabilities and anti-drug-antibody risk, interpreted by an antibody engineer — not just raw scores.

03

Ranked report + readout

A report per candidate with the positions to fix, a ranked shortlist, and a 30-minute call to walk through it.

Developer API

Score inside your pipeline

Numbering & developability as a clean REST endpoint — the same engine behind the live demo. Free to start, usage-billed at scale.

Get an API key
# POST a sequence, get a verdict
curl https://api.presciabio.com/v1/developability \
  -H "Authorization: Bearer $KEY" \
  -d '{"vh":"EVQLVESGGG…","scheme":"imgt"}'

# → { "score":82, "verdict":"low-risk",
      "flags":[{"motif":"NG","pos":55,
        "region":"CDR-H2","risk":"high"}] }
Early access

Screen your next candidate
before the bench.