Method and limits
As of the edition of 20 October 2026, this page sets out how the list is built, how its rows are ranked, what removes a row and what it is known to miss. The sources are named; the numbers are the edition’s own.
How the list is built, how its rows are ranked, and what it does not yet know.
Every number on this page is from the edition of 20 October 2026.
What the list is
A list of human protein targets, each paired with the companies most likely to want a new molecule for it. It draws from every human protein that a tested drug acted on, and asks one question of each company at each target: is there a documented reason this company would want something new here? The list is a ranked starting point for scientific review, not a verdict on any target or company.
What removes a row
A row is removed only by one specific, sourced fact from a short, fixed list. Nothing is removed for any other reason; every other row is ranked or shown as undetermined.
- The target is not a human protein. Checked before any row is formed.
- The same company already has a later approved drug of its own at the target. (276 rows) Route B only. A different drug means a different active substance; a salt, ester or prodrug of the same substance is the same drug. An approval order that is undated or tied proves nothing.
- The company dissolved with no successor holding the drug. (18 rows) A dissolution reported only by web research does not count; such a company stays listed and reads “company status not established”.
What “undetermined” means
A row is undetermined when a fact that would decide its route is not yet established. The row stays on the list and names the missing fact; it is never guessed. In this edition 2,746 rows are undetermined, for these reasons:
How rows are ranked
Rows on route A and route B are scored on three questions. Each question gives a value from 0 to 1, where 0.5 is neutral; an unknown fact counts as neutral rather than for or against. The three questions count equally. Within a question, each factor carries the weight shown, rescaled over the factors that apply to that row.
Two discounts can lower a row: when its failure rests only on a drug going quiet rather than on a stopped trial, and when every approval behind a route B row was withdrawn before 1996. Each row shows which factors moved its score and by how much.
US protection ends is shown beside marketed drugs. It is the latest counted date: the last listed US drug-substance patent or exclusivity in the FDA Orange Book; for a biologic, its reference-product or orphan exclusivity in the Purple Book; where neither is listed, 12 years from the first US licence, shown as computed. It is a flag, not a weight: it changes no score and removes no row. It is not the date generics or biosimilars can enter. Use and formulation patents are not counted, and it covers the US only.
Facts read by a language model
Some facts, such as why a trial stopped, were read from free text by a language model. They are labelled “read by a language model” wherever they appear. In this edition no such reading decides a route, removes a row or changes a score; they are shown for context only.
Sources
Known limits
What this edition is known to miss or simplify. Each is a blind spot of the record, not a judgement; rows it touches stay on the list.
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