Define the question
Specify the target, intervention, disease phenotype and development decision.
Computational biology for drug development
About PROEIDIS
PROEIDIS ranks the routes a disease can take around a blocked target, before the development strategy is locked.
Follow the reasoning from the blocked target through the ranked escape routes to the supporting biological evidence. Use the analysis to challenge a target strategy, develop a combination rationale and define the next experimental question.
What it does
Ranks escape routes around a blocked therapeutic target
Coverage
Immune and inflammatory signaling
Commercial engagement
Scientific projects and pilots
What you can rely on
ReproducibleInspectableEvidence-linkedTestable
01The problem
A target rationale says why the node matters. It does not say what still drives the phenotype once that node is blocked.
PROEIDIS traces routes that remain available under the modeled intervention and ranks them for scientific review. That brings escape into the discussion before the next development commitment.
02How an analysis runs
One therapeutic question in. Ranked routes out, each one open to inspection.
Set the biological context
Define the relevant network, evidence sources and model assumptions.
Model the intervention
Apply the defined block and trace routes that remain connected to the disease phenotype.
Rank the escape routes
Routes are ranked by expected strength, with the reasoning and evidence for each.
Review and test
Inspect individual routes and identify hypotheses for experimental testing.
03Principles
What you can rely on
Reproducible
Same inputs, same versioned knowledge state, same configuration — same output.
Inspectable
Follow the reasoning from the ranking through individual routes to the underlying biological network.
Evidence-linked
Review the biological relationships and supporting sources behind the analysis.
Testable
Each ranked route is an explicit mechanistic hypothesis, testable against subsequent experimental or clinical evidence. Ranking does not establish clinical efficacy or the probability of resistance.
04Who it is for
Drug-development teams deciding on a target, an indication or a combination.
Use PROEIDIS to pressure-test a target, connect a proposed combination to a specific escape mechanism and define focused experimental questions. An existing asset can also be the starting point for reviewing these mechanisms.
Current coverage centers on immune and inflammatory signaling.
05The team
PROEIDIS brings together expertise in immunology, laboratory medicine, translational research and computational engineering.
Clinical and biological expertise informs the questions and model assumptions. Software engineering turns that reasoning into reproducible analysis that scientists can inspect and test.
06At a glance
Key facts
- What it does
- Ranks escape routes around a blocked therapeutic target.
- Founded
- 2026
- Coverage
- Immune and inflammatory signaling
- Commercial engagement
- Scientific projects and pilots
- Contact
- office@proeidis.com
07FAQ
Questions
What does PROEIDIS return?
A ranked set of mechanistic escape hypotheses, with route-level reasoning and supporting biological evidence.
Does PROEIDIS design molecules?
No. It starts from a target and a mode of blockade you already have, and examines the routes that remain available.
What do you need from us?
Start with the target, intervention and indication. We define the additional biological context and evidence requirements when scoping the analysis.
Can PROEIDIS look at a clinical-stage asset?
Yes. The question is the same at any stage: under the modeled intervention, which routes remain?
Can PROEIDIS support combination strategy?
It can generate and prioritize rational combination hypotheses, each tied to a named escape route. Whether a combination works is for experiments and trials to show.
Can we inspect the reasoning?
Yes. Follow the reasoning from the ranking through individual routes to the underlying biological network, alongside the supporting sources.
Will we get the same result twice?
Yes. Same inputs, same versioned knowledge state, same configuration — same output.
How are results validated?
The biological relationships and supporting evidence can be reviewed by scientists. Whether a proposed escape route operates in a particular disease context requires experimental evidence. Computational ranking alone does not validate the hypothesis.
Work with PROEIDIS
Working on a target where escape is the open question?
Tell us what you are blocking and what your team needs to decide next.