TargetGraph · computational research assessment
A research target. A clearer next decision.
Before committing to a new direction, ask what the available evidence can actually support. NuBank organises candidate mechanisms, exclusions and missing information around a named biological target.
Request a scope review →Define the question
Identify the organism, protein or mechanism; explain the research decision; and provide the public papers or reference data you already use. “Which mechanisms are supported in this context?” is a different question from “Will this treatment work?”
NuBank currently provides two curated private packages: H. pylori mechanisms and SmuCA selectivity. Other targets require a separate scope and evidence review before acceptance.
An evidence map
The intended report separates supported research hypotheses, candidates that fail a stated screen, methods that answer a different question, and questions that cannot be assessed with the available information.
Each conclusion needs its source, model or criterion. Candidate classes can include small molecules, peptides, nucleic-acid approaches and other mechanisms where relevant evidence exists. Listing a class does not establish that it works on a particular target.
What the result means
A computational score is not a measured biological effect or a probability of efficacy. The website describes software and numerical checks alongside their limits; none of those establishes laboratory or clinical validation.
The service supports research scoping. It does not recommend patient treatment, dose, safety or clinical use.
Prepare a useful brief
- The exact target and context.
- The decision the assessment should support.
- Public evidence or permitted reference material.
- The result format you need and your timing constraints.
Use the request form or write to kadirbekov@nubank.uz. We first confirm whether the question fits the available tools. Share a non-confidential summary initially.