Untuk peneliti yang menggunakan alat AI
Agen AI
Atlas dirancang agar dapat dibaca oleh mesin. Setiap catatan disajikan sebagai JSON terstruktur, setiap halaman memiliki markup schema.org, dan hubungan antar catatan bersifat eksplisit. Perintah-perintah ini mengarahkan asisten AI ke data tersebut, bukan membiarkannya berimprovisasi.
Prompt siap pakai
Masing-masing terhubung langsung ke API live situs ini. Tempelkan ke Claude, ChatGPT, Gemini, atau asisten apa pun yang dapat mengakses URL.
Using only https://crispr2.2.25.209.181.nip.io/api/v1/entities?kind=treatment as your source, list every gene-editing treatment whose status is "Approved". For each, give the disease it treats, the technology it uses, the company, and the URL of its Atlas page. If a field is missing in the data, say "not recorded" rather than filling it in from memory. Finish by stating plainly that approval in one country does not mean availability everywhere.
Fetch https://crispr2.2.25.209.181.nip.io/api/v1/entity/disease/DISEASE-SLUG (replace DISEASE-SLUG, e.g. sickle-cell-disease). Write a 300-word briefing for an intelligent non-specialist covering: what the disease is, which genes are involved, what gene-editing approaches are being tried, which companies and trials appear in the related records, and — most importantly — the evidence level attached to each claim. Do not present anything preclinical as if it were an available treatment.
Fetch https://crispr2.2.25.209.181.nip.io/api/v1/trials and group the results by phase. For each phase, list the trials with their disease, sponsor and NCT identifier. Flag any trial whose status is Paused, Terminated or Discontinued and say so prominently. Note that Atlas records carry a last-updated date and that ClinicalTrials.gov is authoritative for current status.
Fetch https://crispr2.2.25.209.181.nip.io/api/v1/entities?kind=technology. Build a comparison table of CRISPR-Cas9, base editing and prime editing covering: what it edits, whether it cuts both DNA strands, precision, cargo size, delivery difficulty and clinical maturity — using only the fields in the data. Then write two paragraphs explaining, to a 15-year-old, why not cutting both strands matters.
Fetch https://crispr2.2.25.209.181.nip.io/api/v1/entity/company/COMPANY-SLUG (e.g. crispr-therapeutics). Summarise the company's disclosed pipeline stage by stage, name its partners and the diseases it targets, and list its related trials. State the record's last-updated date at the top. Add: this is educational information, not investment advice, and pipelines change frequently.
Fetch https://crispr2.2.25.209.181.nip.io/api/v1/entity/technology/TECHNOLOGY-SLUG (e.g. base-editing) and use the "simple" field as your starting point. Explain the technology to a curious 11-year-old in under 200 words, using one analogy — then add one short paragraph explaining exactly where that analogy stops being accurate. Keep it honest rather than exciting.
API
Gratis, hanya baca, tanpa kunci. Harap simpan cache dan cantumkan tautan balik.
/api/v1/entities?kind=…
Setiap jenis rekaman: teknologi, penyakit, pengobatan, uji klinis, perusahaan, ilmuwan, gen, makalah, institusi, etika, pertanian, pembelajaran, glosarium.
/api/v1/entity/{kind}/{slug}
Satu rekaman lengkap, termasuk setiap rekaman terkait dalam grafik pengetahuan.
/api/v1/trials
Database uji klinis, dapat difilter berdasarkan fase dan status.
/api/v1/news
Judul berita, penerbit, dan tautan. Teks artikel tetap berada di penerbitnya.
Mengapa strukturnya penting
Entitas, bukan artikel
Penyakit, gen, uji klinis, dan perusahaan adalah catatan terpisah dengan URL yang stabil — sehingga asisten dapat mengikuti suatu hubungan, bukan menebak-nebaknya.
Bukti adalah sebuah bidang
Setiap rekaman memiliki tingkat bukti yang jelas, sehingga sebuah model dapat membedakan obat yang sudah disetujui dari eksperimen pada tikus tanpa harus menafsirkan sendiri.
Jawaban teratas
Setiap halaman dibuka dengan jawaban langsung satu kalimat sebelum detail lebih lanjut — itulah yang sebenarnya dibutuhkan oleh pembaca maupun sistem pencarian.