Mnemonic portraits for 19,023 human genes
The article discusses the idea of creating mnemonic portraits for 19,023 human genes to make them more memorable. The author suggests mapping genes to characters, with characteristics such as sex and weight corresponding to protein properties like transmembrane status and mass. This approach could potentially make it easier for people to learn and remember complex biological information.
- ▪There are approximately 19,000 protein-coding genes in humans, making it a challenging task to memorize them all.
- ▪The author proposes mapping genes to characters, with characteristics like sex and weight corresponding to protein properties.
- ▪The use of isomorphisms, such as mapping character sex to protein transmembrane status, can help create memorable associations between genes and their properties.
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Story provenance
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Lesswrong |
| Canonical URL | https://www.lesswrong.com/posts/BJ7AqXeigNKXLqZyx/mnemonic-portraits-for-19-023-human-genes |
| Publication time | Thu, 28 May 2026 23:24:42 +0000 |
| Retrieval time | 2026-05-28T23:29:38.979Z |
| Last seen | 2026-05-28T23:29:41.018Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | FmiVvdchLcYk |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Back in 2013, Scott Alexander wrote in Extreme mnemonics:JS-154 is one of five metabolic products of netamine; however, the enzyme that produces it is unknown. It is manufactured in cells in the far rostral region of of the cerebrum, but after binding with a leukocynoid it takes a role in maintaining the blood-brain barrier – in particular guiding the movements of lipid molecules.I find I can read paragraphs like this five or six times, write them on flashcards, enter them into Anki, and my brain still refuses to understand or remember them after weeks of trying.On the other hand, my brain easily remembers vastly more complicated structures when they’re loaded with human-accessible meaning.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Lesswrong.