NuBank

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

  1. The exact target and context.
  2. The decision the assessment should support.
  3. Public evidence or permitted reference material.
  4. 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.