Important safety information: DataCram Therapeutics is not a real company and DCT-101 is not a real drug. Do not ask your doctor about it. Ask DataCram about the website instead.Built by DataCram

Clinical-stage biopharmaceutical company

Medicines designed from human data, not from guesswork.

DataCram Therapeutics starts every program with human genetics. Our platform nominates targets that patient data says are causal, then designs candidates against them — so the biology is de-risked before a molecule exists.

5
Programs in development
2
In clinical studies
80+
Scientists and staff

Pipeline

Five programs, four modalities, one source of biology.

Every program below traces to a target our platform nominated from human data. Stage reflects development status only.

DCT-101IRAK4

Moderate-to-severe atopic dermatitis

Oral small molecule · Lead program; once-daily oral.

Phase 2
DCT-204STING

Advanced solid tumors

Small molecule agonist · Dose escalation in biomarker-selected patients.

Phase 1
DCT-311αvβ6 integrin

Idiopathic pulmonary fibrosis

Inhaled peptide · Lung-restricted delivery.

IND-enablingPartnered — undisclosed
DCT-408TREM2

Early Alzheimer's disease

Monoclonal antibody · Brain-penetrant format.

IND-enabling
DCT-5xxUndisclosed

Autoimmune — undisclosed

Oral small molecule · Platform-derived; target nominated 2025.

Discovery

Fictional programs, shown for demonstration. No clinical results, safety data, or trial registry identifiers appear anywhere on this page — and please do not ask your doctor about DCT-101.

Platform

The whole platform, in four steps.

If a partner cannot redraw your platform on a whiteboard after one visit, the page has failed. This is the entire mechanism.

  1. Human data in

    Paired genomic, transcriptomic, and clinical data from patient cohorts — not cell lines.

  2. Target nomination

    Causal models rank targets by how strongly human genetics ties them to the disease.

  3. Candidate design

    Structure-guided chemistry and biologics design against the nominated target.

  4. Translational readout

    Biomarker strategy defined before the first dose, so every study answers a question.

Four panels of analysis output: a clustered UMAP embedding, a network graph of ranked targets, a volcano plot of differential expression, and two overlaid protein structures with a bound ligand.

Why start with human genetics

Targets supported by human genetic evidence have historically been substantially more likely to survive clinical development than those chosen from cell or animal models alone. That single filter is the reason our discovery engine begins with patient cohorts rather than a screening library.

It also shapes how we run studies. Because the biology is chosen from human data, the biomarker is usually obvious before the protocol is written — so a Phase 1 answers a real question instead of only establishing tolerability.

Science

We publish, and we show our work.

Peer review is the only credential this audience fully trusts. Publications, posters, and preprints belong on the site — findable, dated, and linked to the program they support.

  • 2026Causal target nomination from paired transcriptomic and clinical data in inflammatory skin diseasePeer-reviewed journal · manuscript accepted
  • 2025Structure-guided optimization of a selective IRAK4 inhibitor seriesMedicinal chemistry journal
  • 2025An inhaled αvβ6-targeting peptide reduces fibrotic burden in preclinical modelsRespiratory research journal
  • 2024Benchmarking causal inference methods for target discovery across four disease cohortsPreprint server
A researcher in safety glasses, lab coat, and gloves transfers a sample into a tube, with molecular network and structure plots displayed on the monitors behind her.

Company

The team is part of the diligence.

Investors and partners want to know who has taken a molecule this far before. Named leadership with real histories, and a scientific advisory board that is more than a logo wall.

Portrait of Diane Whitaker, Chief Executive Officer.

Diane Whitaker

Chief Executive Officer

Portrait of Alan Brenner, Chief Scientific Officer.

Alan Brenner

Chief Scientific Officer

Portrait of Priya Raghavan, Chief Medical Officer.

Priya Raghavan

Chief Medical Officer

Portrait of Marcus Bell, Chief Business Officer.

Marcus Bell

Chief Business Officer

Portrait of Daniel Park, SVP, Translational Medicine.

Daniel Park

SVP, Translational Medicine

Portrait of Helen Marsh, SVP, Chemistry.

Helen Marsh

SVP, Chemistry

These people are not real. The names are invented and the portraits are AI-generated — no biographies or credentials are claimed for any of them.

News

Momentum, dated and public.

A newsroom that has not been touched in eighteen months reads as a company in trouble. This section exists to be kept current.

  • July 22, 2026Press releaseDataCram Therapeutics doses first patient in Phase 2 study of DCT-101 in atopic dermatitis
  • June 4, 2026PublicationMulti-omic target nomination in inflammatory skin disease — peer-reviewed manuscript accepted
  • May 12, 2026PresentationPreclinical characterization of DCT-311, an inhaled αvβ6 peptide, presented at a scientific congress
  • March 2, 2026Press releaseCompany appoints new Chief Medical Officer and expands translational research group

Business development

Partnering, licensing, and investment.

One named route in for partners, one for investors, one for media. A single generic contact form is where biotech BD conversations go to die.

Partnering

bd@ — routed to the CBO

Investors

ir@ — routed to the CFO

Media

press@ — routed to comms

Addresses shown are illustrative and do not resolve.

The Toronto skyline at sunset seen across the harbor, with the CN Tower at left and sailboats on the water.

End of demonstration

Everything above is a build we can ship for your company.

Real pipeline data, real publications, your programs and your team — on a fast, accessible site that holds up in front of investors, partners, and regulators. DataCram builds these on Next.js with a CMS your team can actually run.

DataCram Therapeutics

Turning human data into medicines that reach the right patients.

Toronto, ON · Founded 2019

Science

  • Pipeline
  • Platform
  • Publications
  • Clinical trials

Company

  • About
  • Leadership
  • Careers
  • News
  • Contact

Important safety information

DataCram Therapeutics is a fictional company. Do not take DataCram Therapeutics. It has not been evaluated by the FDA, the EMA, or anyone else, because it does not exist. Do not discuss DCT-101, DCT-204, DCT-311, DCT-408, or DCT-5xx with your doctor. Your doctor has not heard of them either, and the conversation will not go well.

Every program, stage, publication, and press release on this page was invented to demonstrate how DataCram — the web development company, which is real — builds websites for clinical-stage biotech. No clinical results, safety data, or trial registry identifiers appear anywhere on this page, and none should be inferred. The footer links above are inert.

Side effects of viewing this page may include: sudden awareness that your own pipeline is a PDF; mild irritation at your current load times; and an urge to email us. In rare cases, visitors have reported wanting a site their investors can actually read.

Ask DataCram if a custom biotech website is right for you. See what we actually build for biopharma →

Individual results vary. Not available in template form.