#蛋白質工程
Live, measured metrics for the hashtag #蛋白質工程 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #蛋白質工程
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-22 13:09 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-08-22 13:09 UTCNo related tags with measured usage found for #蛋白質工程.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-22 13:09 UTCEverything below is measured over the latest 3 public posts (spanning ~7202 hours).
Posting hours (UTC)
Languages: Chinese (Taiwan) (2)
Avg boosts / post: 0
Top of the latest posts
AI時代新藥設計:漢康生技如何用「蛋白質工程」,賭一個45億美元授權?林昆輝(Quinn Lin) 2026-07-12 07:58:00 CST漢康的CD47新藥HCB101,運用AI輔助蛋白質工程,突破前代藥物安全性與療效的兩難,能高選擇性攻擊腫瘤而不傷紅血球,目標在完成概念驗證後進行國際授權。 https://www.thenewslens.com/article/269119 #蛋白質工程 #免疫系統 #AI輔助蛋白質工程 #腫瘤細胞 #FDA #巨噬細胞 #商業 #
🌘 Biohub 發布蛋白質生物學「世界模型」 ➤ 透過 AI 語言模型解碼生命之源,實現蛋白質藥物開發的效率革命 ✤ https://biohub.org/news/world-model-of-protein-biology/ Biohub 近日發表了一套革命性的開源工具集,包含 ESMC 語言模型、ESMFold2 結構預測模型以及 ESM Atlas 資料庫。這套系統透過分析全球生命演化史中 28 億條蛋白質序列,成功建構出蛋白質生物學的「世界模型」。研究顯示,該模
🌘 La-Proteina:透過部分潛在流量匹配實現原子級蛋白質生成 ➤ 原子級蛋白質設計的新紀元:La-Proteina的創新流程與實踐 ✤ https://github.com/NVIDIA-Digital-Bio/la-proteina 研究團隊介紹了La-Proteina,一種用於從頭設計蛋白質結構的新穎方法。該方法利用部分潛在蛋白質表示,將粗略的骨架結構顯式建模,而序列與原子細節則透過固定維度的殘基級潛在變數捕捉。這種方法規避了顯式處理複雜側鏈表示的挑戰,並利用流
#蛋白質工程 across platforms
every network with a public tag surfaceFollow #蛋白質工程 straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/蛋白質工程