Degrade. Stabilize. Relocalize.

Programmable protein modulation.

We have a rich toolkit for editing the genome and transcriptome, but an equivalent framework for the proteome has remained elusive. UbiquiTx has built an AI-native platform for programmable modulation of the proteome — turning any protein target into one we can precisely modulate, not just knock out.

// The platform

CLIPs: Chimeric Ligands for Induced Proximity.

A single, modular construct: an AI-designed guide peptide, joined by a flexible linker to a swappable effector enzyme.

ubiquitx@platform:~$ cat capabilities.log
01
Any surface

No binding pocket required. Guide peptides engage flat, non-conformational surfaces that PROTACs and molecular glues can't reach.

02
Full modulation range

Swap the effector to degrade, stabilize, or relocalize the same target — not degradation alone.

03
Always functional

Binding and function happen in the same step, so every hit from a screen is a functional one — nothing to validate twice.

Platform engine

Two flywheels generate every functional hit.

Multiplexed peptide screening finds the best binders first. Combinatorial CLIP assembly then turns those winners into a functional cellular outcome — degraded, stabilized, or relocalized.

BINDER DISCOVERY binding & selectivity DESIGN SCREEN MEASURE LEARN
① Peptide binder discovery
multiplexed
Winner binders
CLIP ASSEMBLY functional phenotype ASSEMBLE SCREEN MEASURE REFINE
② Combinatorial CLIP assembly
Functional hit ✓
01

10,000+ sequences per campaign

Multiple protein language models generate and rank candidates — not hand-engineered guesses.

02

Binding and functional results are the moat

Every cycle produces both binding and functional readouts — proprietary data no public database has.

03

Each cycle faster and more precise

Design–screen–measure–learn compounds — every round sharpens the next, across every program.

// The data asset

Function is the missing label.

Protein models learn what binds. Almost nothing records what happened next. Because our screens read out function directly, every campaign generates exactly that missing data — at scale, across every program.

Paired
Sequence and functional outcome, same construct, same cycle.
Compounding
Every campaign feeds one corpus, not a siloed dataset.
Model-ready
Labeled sequence → outcome, structured for training.
Target Hypothesis Confirmation Services

Act where a drug acts — on the protein itself.

Delivers in-cell, mechanism-matched modulation of a nominated target, with dose-response, kinetics, and PTM/isoform selectivity — before partners commit capital.

Protein editing · UbiquiTx

CLIPs

Delivers a mechanism-matched go/no-go on a nominated target by addressing a protein directly.

DNA editing

CRISPR

Sequence-level and permanent. Powerful for somatic targets, but acts on the gene.

RNA editing

siRNA / ASO

Knockdown only. Transient, with limited tissue reach.

Genetic tools answer a different question than the one a drug will face.

Therapeutic Pipeline

The same engine builds wholly-owned medicines.

A pipeline in oncology and regenerative disease, advancing on non-dilutive funding alongside the validation business rather than competing with it for capital.

Hepatocellular carcinoma

Mutation-driven oncology
Degradation

HPV-associated cancers

Head & neck, cervical, anal
Degradation

Severe alcoholic hepatitis / MASH

Liver disease
Stabilization
Team

A leading management team, backed by proven scientific founders.

Executive team
Mathew Barnett, MBA

Mathew Barnett, MBA

CEO
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Mark Shearman, PhD

Mark Shearman, PhD

CSO
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Peter Fekkes, PhD

Peter Fekkes, PhD

Head of Drug Discovery
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Scientific co-founders
Joseph Jacobson, PhD

Joseph Jacobson, PhD

MIT · Media Lab, Molecular Machines Group
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Matthew DeLisa, PhD

Matthew DeLisa, PhD

Cornell · Chemical & Biomolecular Engineering
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Pranam Chatterjee, PhD

Pranam Chatterjee, PhD

UPenn · Biomedical Engineering & Computer Science
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Research

Published & supporting research

Built on a decade of peer-reviewed science from our founders.

Science Advances · 2026

Programmable protein degraders enable selective knockdown of pathogenic β-catenin subpopulations in vitro and in vivo

Guide peptides designed with the SaLT&PepPr protein language model turn ubiquitin ligases into programmable degraders that selectively eliminate abnormally accumulated (cytosolic/nuclear) β-catenin in colorectal cancer cells — while leaving normal, membrane-bound β-catenin untouched. Validated in vitro and in vivo.

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Nature Communications · 2025

Programmable protein stabilization with language model-derived peptide guides

Peptide guides designed by protein language models (SaLT&PepPr, PepMLM, PepPrCLIP) are fused to the deubiquitinase OTUB1 to build "deubiquibodies" (duAbs) that rescue disease-relevant proteins — including p53, FOXP3, WEE1, and the disordered PAX3::FOXO1 fusion oncoprotein — by stripping their degradation-tagging ubiquitin. mRNA-lipid-nanoparticle delivery of a p53-targeting duAb restored p53 activity and triggered apoptosis in cancer cells.

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Science Advances · 2025

De novo design of peptide binders to conformationally diverse targets with contrastive language modeling

PepPrCLIP pairs generative peptide design with a CLIP-style discriminator trained on peptide–protein pairs to design binders for targets with no fixed structure, including intrinsically disordered oncoproteins. Peptides generated this way, from sequence alone, inhibited an enzyme target and drove degradation of both β-catenin and the disordered SS18–SSX1 fusion protein found in synovial sarcoma.

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Communications Biology · 2023

SaLT&PepPr is an interface-predicting language model for designing peptide-guided protein degraders

SaLT&PepPr fine-tunes the ESM-2 protein language model to predict protein-protein interaction interfaces directly from sequence, then extracts guide peptides from those interfaces and fuses them to the CHIP E3 ligase domain to build programmable degraders — no structural information required. Degraders built this way knocked down β-catenin, 4E-BP2, and TRIM8 with high specificity, and TRIM8 degradation induced apoptosis in Ewing sarcoma cells.

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ACS Central Science · 2019

Broad-Spectrum Proteome Editing with an Engineered Bacterial Ubiquitin Ligase Mimic

A bacterial E3 ligase mimic (IpaH9.8, from Shigella flexneri) fused to synthetic binding domains degraded GFP and 15 other fluorescent-protein-tagged targets across a wide range of sizes and cellular compartments, then was redirected to disease-relevant targets SHP2, KRas, and ERK2 — delivered as a cell-penetrating peptide fusion or as mRNA, with efficient target depletion in cultured cells and in transgenic mice.

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J. Biological Chemistry · 2014

Ubiquibodies, Synthetic E3 Ubiquitin Ligases Endowed with Unnatural Substrate Specificity for Targeted Protein Silencing

The foundational ubiquibody design: antibody fragments or fibronectin-based binding domains fused to a truncated CHIP E3 ligase redirect the ubiquitin-proteasome system to degrade a chosen target protein, with no need to know its natural interaction partners. Demonstrated by selectively depleting β-galactosidase and maltose-binding protein in mammalian cells while leaving natural CHIP substrates untouched — the "guide + ligase" architecture the platform builds on.

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The protein layer, finally programmable.

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