For the complete documentation index, see llms.txt. This page is also available as Markdown.

Rank candidate targets

What to do: Compare a candidate gene's expression across cancer types to identify indications where it's overexpressed. Ask for a comparison with healthy tissue from GTEx for more meaningful results. Once you have candidate indications, you can check tractability, safety, and protein-level evidence for the target.

Example prompt:

Compare the expression of NECTIN4 across all TCGA cancer types. Show me a pan-cancer overview ranked by median expression level, and highlight which indications show overexpression compared to normal tissue from GTEx.

Expected result: A ranked visualization of NECTIN4 expression across TCGA indications, with tumor vs. normal comparisons.

Follow-up:

For the top 3 indications with highest NECTIN4 overexpression, show the association between NECTIN4 expression (high vs. low) and overall survival.

A-S-R-T-C breakdown: Compare [A] NECTIN4 [S] at Bulk RNA level [R] as a ranked table [T] across all TCGA cancer types vs. GTEx normal tissue [C].

Go further:

What is known about NECTIN4 tractability, safety liabilities, and approved or clinical-stage drugs targeting it?

K-Pro queries curated knowledge bases (such as Open Targets, ChEMBL, and the Human Protein Atlas) to summarize tractability, known safety signals, and existing drugs for the target.

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