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CIP-3

An AI-designed cyclic peptide CD28 antagonist representing the application of computational protein design to immunology — investigational for autoimmune disease and transplant rejection, with mechanism similar to abatacept (Orencia) but in a small cyclic peptide format.

DPreliminaryLimited Data
Last updated

What is CIP-3?

CIP-3 is an AI-designed cyclic peptide CD28 receptor antagonist representing the application of computational protein design (notably from the Baker lab at the University of Washington's Institute for Protein Design and successor commercial efforts) to immunology. CD28 is a costimulatory receptor on T cells that, together with TCR engagement, drives T cell activation. CD28-CD80/86 antagonism is the mechanism of abatacept (Orencia, FDA-approved 2005 for rheumatoid arthritis and other autoimmune indications) — a CTLA4-Fc fusion protein. CIP-3 aims to achieve similar functional immune attenuation through a much smaller cyclic peptide format, with the implications of small-peptide chemistry including potentially oral bioavailability and lower immunogenicity. As of mid-2026, CIP-3 is in preclinical/early clinical development — the molecule represents the demonstration of AI-designed cyclic peptides for immunology rather than a specific clinical candidate at advanced stage.

What CIP-3 Is Investigated For

CIP-3 is a preclinical-to-early-clinical CD28 cyclic peptide antagonist demonstrating the application of AI-designed peptide therapeutics to immunology. Mechanistically the target (CD28 costimulation blockade) has been clinically validated by abatacept (CTLA4-Fc) in rheumatoid arthritis, psoriatic arthritis, JIA, and transplant rejection. The compact cyclic peptide format aims to retain CD28 antagonism while gaining potential advantages of small peptide chemistry (oral bioavailability, lower immunogenicity, simpler manufacturing). The honest caveats: CIP-3 is at a substantially earlier development stage than approved CTLA4-Fc-based agents, AI-designed peptide therapeutics have generally not advanced to FDA approval as of mid-2026, and the translation from in silico design through preclinical to clinical efficacy in heterogeneous autoimmune patient populations has historically been difficult. The molecule is more notable as a proof-of-concept for AI peptide design in immunology than as a near-term clinical candidate.

CD28 antagonism for autoimmune disease
Preliminary30%
AI-designed peptide therapeutics demonstration
Preliminary30%
Transplant rejection (theoretical)
Preliminary30%

History & Discovery

AI-designed peptide therapeutics emerged as a research field through the late 2010s and early 2020s, with the Baker lab at the University of Washington's Institute for Protein Design (IPD) producing foundational work on de novo protein and peptide design. Commercial spinoffs (Cyrus Bio, A-Alpha Bio, others) have pursued therapeutic applications. The application to CD28 antagonism reflects both the clinical relevance of the target (validated by abatacept's commercial success and broad use in rheumatoid arthritis, psoriatic arthritis, JIA, and transplant rejection) and the technical fit of the problem (a defined protein-protein interaction amenable to cyclic peptide design). CIP-3 is described in publicly available conference abstracts and preprints from the AI-designed peptide community. As of mid-2026, the molecule represents demonstration of methodology rather than an advanced clinical candidate. Whether CIP-3 specifically or its successors reach FDA approval will depend on translation through Phase 1/2/3 trials — a path that no AI-designed therapeutic peptide has yet completed.

How It Works

Your immune T cells need two signals to activate fully — one through the T cell receptor (recognizing the threat) and one through CD28 (a costimulatory 'go' signal). Blocking the CD28 signal calms the immune response, which is useful in autoimmune diseases where the immune system attacks the body's own tissues. CIP-3 is a small cyclic peptide designed by AI to do this — similar in mechanism to abatacept but in a much smaller molecule that could potentially be taken orally.

CD28 is a costimulatory receptor on T cells that binds CD80 (B7-1) and CD86 (B7-2) on antigen-presenting cells. CD28 engagement provides the second signal (alongside TCR-MHC engagement) required for full T cell activation, IL-2 production, and clonal expansion. Without CD28 costimulation, T cells receiving TCR signal alone enter an anergic state. Abatacept and the second-generation belatacept (more selective for B7-1) achieve immunosuppression by competitively binding CD80/86 (their endogenous ligands), preventing endogenous CD28 from engaging them. CIP-3 takes a different antagonist strategy — directly binding CD28 itself (rather than the CD80/86 ligands) to prevent the costimulatory interaction. The cyclic peptide design constrains the peptide into the receptor-binding conformation, achieving sufficient binding affinity for clinical antagonism with a much smaller molecular size than the protein-based CTLA4-Fc agents. The AI design approach uses computational protein design to generate cyclic peptides with optimized binding affinity, selectivity, and biophysical properties for the CD28 receptor target. Multiple cycles of computational design, screening, and biochemical/cellular validation produce candidate molecules; CIP-3 is one such optimized candidate.

Evidence Snapshot

Overall Confidence30%

Human Clinical Evidence

Preclinical/early clinical stage. No mature human data published.

Animal / Preclinical

Adequate. AI-designed cyclic peptides have demonstrated CD28 binding in cellular and animal model systems.

Mechanistic Rationale

Strong. CD28-CD80/86 costimulation is one of the best-validated immunological targets through abatacept's clinical success.

Research Gaps & Open Questions

What the current literature has not yet settled about CIP-3:

  • 01Phase 1 clinical data — pending if/when the molecule advances to Phase 1.
  • 02Translation of AI-designed peptide therapeutics to FDA approval — no AI-designed peptide has yet completed regulatory approval as of mid-2026.
  • 03Comparative efficacy versus abatacept and belatacept in head-to-head data.
  • 04Route of administration optimization — whether oral bioavailability is achievable.
  • 05Long-term immunosuppressive safety profile.
  • 06Specific autoimmune indication where CIP-3 would be positioned remains to be established.

Forms & Administration

Route to be established — subcutaneous injection most likely for early clinical work; oral bioavailability is a longer-term goal of cyclic peptide design.

Dosing & Protocols

The ranges below reflect protocols commonly discussed in the literature and by clinicians — not a prescription. Actual dosing for any individual should be determined by a qualified healthcare provider who knows the patient.

Typical Range

Not established. Preclinical/early clinical.

Frequency

Not established.

Timing Considerations

No specific timing requirements: can be administered at any time of day, with or without food, and is not tied to exercise timing. Consistency matters more than the specific clock — dose at roughly the same time each day (or same day each week, for weekly protocols) to keep exposure steady.

Cycle Length

Not established.

Protocol Notes

CIP-3 is not available outside research and possibly early clinical trial settings. The molecule is more notable as a methodology demonstration than as an accessible therapy.

CIP-3 is preclinical/early clinical and not approved for any indication.

Timeline of Effects

Onset

Not characterized in humans.

Peak Effect

Not characterized.

After Discontinuation

Immune costimulation blockade typically reverses over weeks following antagonist discontinuation as endogenous CD28-CD80/86 engagement resumes.

Common Questions

Who CIP-3 Is NOT For

Contraindications
  • Active malignancy — immune attenuation is generally contraindicated with active cancer.
  • Active infection — same rationale.
  • Pregnancy and breastfeeding — limited safety data.
  • Pediatric use — not characterized.
  • Known hypersensitivity to cyclic peptide therapeutics.

Drug & Supplement Interactions

Specific drug interactions for CIP-3 will be characterized in clinical development. The CD28 antagonist mechanism implies general considerations for concurrent immunosuppressive therapy (combination may be additive in immune attenuation, increasing infection risk) and live vaccines (typically avoided during immune attenuation).

Safety Profile

Safety Information

Common Side Effects

Preclinical/early clinical — not yet characterized in humans

Cautions

  • Preclinical/early clinical stage
  • AI-designed peptide therapeutics are novel pharmacology
  • Long-term immunosuppressive safety profile applies generally to CD28 antagonism

What We Don't Know

Essentially everything beyond mechanism — clinical efficacy, dosing, route, safety profile all to be characterized.

Myths & Misconceptions

Myth

AI-designed peptides are guaranteed to work because computers designed them.

Reality

Computational design is a tool that produces candidate molecules with optimized properties on paper. Clinical translation requires sequential validation through preclinical models, Phase 1 safety, Phase 2 efficacy, and Phase 3 confirmation — a path no AI-designed peptide has yet completed. AI-design is a methodology advance, not a guarantee of clinical success.

Myth

CIP-3 will replace abatacept for autoimmune disease.

Reality

Abatacept has decades of FDA-approved use with established efficacy in multiple autoimmune diseases. CIP-3 is preclinical/early clinical. The molecules would need to be compared in head-to-head clinical trials before any replacement claim could be made.

Quick Facts

Class
AI-Designed CD28 Cyclic Peptide Antagonist
Tier
D
Evidence
Preliminary
Safety
Limited Data
Updated
May 2026
Citations
0PubMed

Also known as

AI-designed CD28 cyclic peptide antagonist

Tags

InvestigationalAutoimmuneCyclic PeptideAI-DesignedCD28 AntagonistPreclinical

Related Goals

Evidence Score

Overall Confidence30%

Clinical Trials

View Clinical Trials

Links to ClinicalTrials.gov for reference. Listing does not imply endorsement.