<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Diffdock on TPOW Lab</title><link>https://tpow-001.netlify.app/tags/diffdock/</link><description>Recent content in Diffdock on TPOW Lab</description><generator>Hugo</generator><language>en</language><copyright>Copyright &amp;copy; 2025-2026 TPOW-001. All Rights Reserved.</copyright><lastBuildDate>Tue, 02 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://tpow-001.netlify.app/tags/diffdock/index.xml" rel="self" type="application/rss+xml"/><item><title>NVIDIA digital-biology-examples 完整教學：6 個生物 NIM × 1 個 Blueprint × 1 個 PyPI client 的端到端 cookbook</title><link>https://tpow-001.netlify.app/post/2026-06-02-digital-biology-examples-tutorial/</link><pubDate>Tue, 02 Jun 2026 00:00:00 +0000</pubDate><guid>https://tpow-001.netlify.app/post/2026-06-02-digital-biology-examples-tutorial/</guid><description><![CDATA[<blockquote>
<p>⚠️ 本文件為 <code>NVIDIA/digital-biology-examples</code> 的深度教學與資安審查報告。資安掃描章節（§6）含紅黃綠燈分級；商用部署前<strong>務必審視 §4 NIM 授權條款</strong>。</p></blockquote>

<h2 id="目錄" data-numberify>目錄<a class="anchor ms-1" href="#目錄"></a></h2>
<ol>
<li><a href="/post/2026-06-02-digital-biology-examples-tutorial/#1-%e5%b0%88%e6%a1%88%e5%ae%9a%e4%bd%8d">專案定位</a></li>
<li><a href="/post/2026-06-02-digital-biology-examples-tutorial/#2-%e5%ae%89%e8%a3%9d%e6%8c%87%e5%8d%97">安裝指南</a></li>
<li><a href="/post/2026-06-02-digital-biology-examples-tutorial/#3-%e6%a0%b8%e5%bf%83%e6%9e%b6%e6%a7%8b%e8%a7%a3%e6%9e%90">核心架構解析</a></li>
<li><a href="/post/2026-06-02-digital-biology-examples-tutorial/#4-helper-scripts-%e8%88%87%e5%b7%a5%e5%85%b7%e5%ba%ab%e8%a9%b3%e7%b4%b0%e7%94%a8%e6%b3%95">Helper Scripts 與工具庫詳細用法</a></li>
<li><a href="/post/2026-06-02-digital-biology-examples-tutorial/#5-%e6%87%89%e7%94%a8%e5%a0%b4%e6%99%af8-%e5%80%8b-nim--1-%e5%80%8b-blueprint--5-%e6%a2%9d-recipe">應用場景：8 個 NIM × 1 個 Blueprint × 5 條 recipe</a></li>
<li><a href="/post/2026-06-02-digital-biology-examples-tutorial/#6-%e8%b3%87%e5%ae%89%e6%8e%83%e6%8f%8f%e5%a0%b1%e5%91%8a">資安掃描報告</a></li>
<li><a href="/post/2026-06-02-digital-biology-examples-tutorial/#7-faq">FAQ</a></li>
<li><a href="/post/2026-06-02-digital-biology-examples-tutorial/#8-%e9%80%b2%e9%9a%8e%e6%8a%80%e5%b7%a7">進階技巧</a></li>
<li><a href="/post/2026-06-02-digital-biology-examples-tutorial/#9-%e6%95%b4%e5%90%88%e9%80%b2%e5%85%b6%e4%bb%96%e5%b7%a5%e4%bd%9c%e6%b5%81">整合進其他工作流</a></li>
<li><a href="/post/2026-06-02-digital-biology-examples-tutorial/#10-%e9%87%8d%e9%bb%9e%e6%91%98%e8%a6%81-checklist">重點摘要 Checklist</a></li>
<li><a href="/post/2026-06-02-digital-biology-examples-tutorial/#11-%e9%80%b2%e4%b8%80%e6%ad%a5%e9%96%b1%e8%ae%80">進一步閱讀</a></li>
</ol>
<hr>

<h2 id="1-專案定位" data-numberify>1. 專案定位<a class="anchor ms-1" href="#1-專案定位"></a></h2>

<h3 id="11-一句話" data-numberify>1.1 一句話<a class="anchor ms-1" href="#11-一句話"></a></h3>
<p><code>NVIDIA/digital-biology-examples</code> 是 NVIDIA BioNeMo 平台官方的「<strong>生物 NIM 微服務 cookbook + Blueprint 端到端範例 + 單細胞 GPU 入門資源</strong>」整合倉，是把 BioNeMo Framework 訓練好的模型「<strong>包成 NIM 容器、暴露成 OpenAPI 服務、做成 Python client / Jupyter notebook、再串接成藥物發現工作流</strong>」的最終端使用者出口。</p>]]></description></item><item><title>Tutorial: NVIDIA/BioNeMo — BioPharma Developer Asset Hub 完整解讀（生物製藥版 Nemotron：25+ 開源模型 / 10+ NIM 微服務 / 8 個 GPU 函式庫 / 完整藥物開發流程）</title><link>https://tpow-001.netlify.app/post/2026-06-02-bionemo-hub-tutorial/</link><pubDate>Tue, 02 Jun 2026 00:00:00 +0000</pubDate><guid>https://tpow-001.netlify.app/post/2026-06-02-bionemo-hub-tutorial/</guid><description><![CDATA[<h1 id="nvidia-bionemohub-repo完整教學" data-numberify>NVIDIA BioNeMo（Hub Repo）完整教學<a class="anchor ms-1" href="#nvidia-bionemohub-repo完整教學"></a></h1>
<blockquote>
<p><strong>一句話定位</strong>：NVIDIA 在 <strong>BioPharma 領域</strong>的官方 <strong>Developer Asset Hub</strong> — 不是程式庫、不是模型、不是框架，而是一份<strong>集中索引 README</strong>，把散落在 <code>NVIDIA-Digital-Bio</code> / <code>NVIDIA/bionemo-framework</code> / <code>clara-parabricks-workflows</code> / <code>NVlabs</code> / <code>build.nvidia.com</code> 的 <strong>5 大支柱（資料 / 模型 / 函式庫 / 訓練 / NIM 推論）</strong> 串成一條可導覽的入口路徑。</p>]]></description></item></channel></rss>