Decoding the language of protein interactions to discover better medicines

Our XenoProt™ platform reads the fundamental physics of how proteins interact — directly from amino acid sequence alone. By decoding these relationships from first principles, we discover peptide therapeutics that are more specific, more effective, and more likely to reach the clinic.

10× Higher hit rates vs. benchmarks
~$1 Cost per validated hit
100× Smaller libraries needed
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MKYALFVLGLFCLAAHADA EGTFISDYSIAMDKIHQQDFVNWLLAQKGKKNDWKHNITQRETLQRGFVDALINKKA VPVLVEPQTPTESVEQSSPTELRMKYALFVLGLFCLAAHADA EGTFISDYSIAMDKIHQQDFVNWLLAQKGKKNDWKHNITQRETLQRGFVDALINKKA VPVLVEPQTPTESVEQSSPTELR MKYALFVLGLFCLAAHADA YAEGTFISDYSIAMDKIHQQDFVNWLLAQKGKKNDWKHNITQ RETLQRGFVDALINKKA VPVLVEPQTPTESVEQSSPTELRMKYALFVLGLFCLAAHADA EGTFISDYSIAMDKIHQQDFVNWLLAQKGKKNDWKHNITQRETLQRGFVDALINKKA VPVLVEPQTPTESVEQSSPTELR MKYALFVLGLFCLAAHADA YAEGTFISDYSIAMDKIHQQDFVNWLLAQKGKKNDWKHNITQ RETLQRGFVDALINKKA VPVLVEPQTPTESVEQSSPTELR MKYALFVLGLFCLAAHADA

Biology doesn't yield to scale

The pharma industry spends $28 billion a year on high-throughput screening. For peptides, most of that is waste. R&D budgets keep climbing, but discovery output stays flat.

0.01–1%

Hit rates in traditional screening

Million-compound libraries, months of work, and the vast majority of peptides tested turn out to be useless. Campaigns take 5–18 months and cost $100–$1,000+ per validated hit.

<30%

Targets with solved structures

Structure-based design tools require high-resolution 3D structures that simply don't exist for most druggable targets, especially GPCRs — the most therapeutically important protein family.

0

Tools that find new binding pockets

No existing platform — AI-driven, structure-based, or sequence-based — can discover previously unknown binding sites on a target and design the corresponding binders.

From sequence to functional peptide binders

A novel ab initio engine that predicts protein-peptide interactions from first principles. Just give it an amino acid sequence.

Step 1 — Input

Protein sequence

Provide a target amino acid sequence. No solved structure, no template, no prior screening data required.

Step 2 — Generate

Ab initio computation

XenoProt maps all possible binding sites — including non-obvious, dynamic pockets — and generates 25k–50k ranked peptide binders. 100× fewer than traditional HTS.

Step 3 — Validate

Functional testing

Top candidates go straight to array and cell-based assays. Over 10% functional hit rate demonstrated — ready for lead optimisation.

What makes XenoProt fundamentally different

01

Rational peptide screening

Physics-informed generation and ranking of peptide libraries replaces brute-force screening. Smaller, enriched libraries deliver dramatically higher hit rates at a fraction of the cost.

02

Non-obvious binding pockets

Systematic exploration of target surfaces beyond canonical sites. Identifies binding regions and complementary binder complexes not apparent from any single static structure.

03

Multi-snapshot structural interrogation

Analyses how binding landscapes change across multiple conformational states of a target protein, revealing state-dependent pockets that no other platform can access.

Accelerate your peptide discovery pipeline

Let's talk about your target

Whether you're exploring a managed screening campaign or a deeper research collaboration, we'd love to hear about your target and how XenoProt can help.

info@xenos.bio
www.xenos.bio
Oxford, UK

We'll get back to you within 48 hours.