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      <description>천천히 올바르게. AI Researcher &amp; DevOps Engineer Youngju&#39;s tech blog. GPU/CUDA, LLM, MLOps, Kubernetes AI workloads, distributed training, and data engineering.</description>
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      <managingEditor>fjvbn2003@gmail.com (Youngju Kim)</managingEditor>
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    <guid>https://www.youngju.dev/blog/culture/2026-05-16-ai-biology-drug-discovery-2026-alphafold-3-rosettafold-esm-atlas-boltz-chai-rfdiffusion-isomorphic-recursion-deep-dive.en</guid>
    <title>AI for Biology &amp; Drug Discovery 2026 Complete Guide — AlphaFold 3, RoseTTAFold, ESM Atlas, Boltz, Chai-1, RFdiffusion, Isomorphic Labs, Recursion, Insilico Deep Dive</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-16-ai-biology-drug-discovery-2026-alphafold-3-rosettafold-esm-atlas-boltz-chai-rfdiffusion-isomorphic-recursion-deep-dive.en</link>
    <description>After the 2024 Nobel Prize in Chemistry went to protein design and AlphaFold, AI biology moved from academia to industry. From the technical differences between AlphaFold 3, RoseTTAFold All-Atom, ESM-3, Boltz-2, Chai-1, RFdiffusion, and ProteinMPNN, to the business models of Isomorphic Labs, Recursion, and Insilico Medicine, plus datasets like PDB, UniProt, ChEMBL and simulation infrastructure like GROMACS and DESMOND — and the AI bio ecosystems of Korea and Japan — this guide maps the hottest AI field of 2026 end to end.</description>
    <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>ai-biology</category><category>drug-discovery</category><category>alphafold</category><category>rosettafold</category><category>esm</category><category>boltz</category><category>chai</category><category>rfdiffusion</category><category>isomorphic-labs</category><category>recursion</category><category>insilico-medicine</category><category>english</category>
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    <guid>https://www.youngju.dev/blog/culture/2026-05-16-ai-biology-drug-discovery-2026-alphafold-3-rosettafold-esm-atlas-boltz-chai-rfdiffusion-isomorphic-recursion-deep-dive.ja</guid>
    <title>AI 生物学 &amp; 創薬 2026 完全ガイド — AlphaFold 3・RoseTTAFold・ESM Atlas・Boltz・Chai-1・RFdiffusion・Isomorphic Labs・Recursion・Insilico 徹底解説</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-16-ai-biology-drug-discovery-2026-alphafold-3-rosettafold-esm-atlas-boltz-chai-rfdiffusion-isomorphic-recursion-deep-dive.ja</link>
    <description>2024年のノーベル化学賞がタンパク質設計と AlphaFold に贈られて以降、AI 生物学は学術から産業へと移った。AlphaFold 3・RoseTTAFold All-Atom・ESM-3・Boltz-2・Chai-1・RFdiffusion・ProteinMPNN の技術的な違いから、Isomorphic Labs・Recursion・Insilico Medicine のビジネスモデル、PDB・UniProt・ChEMBL などのデータセットや GROMACS・DESMOND といったシミュレーション基盤、そして韓国・日本の AI バイオエコシステムまで — 2026 年現在もっとも熱い AI 分野を一気通貫で整理する。</description>
    <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>ai-biology</category><category>drug-discovery</category><category>alphafold</category><category>rosettafold</category><category>esm</category><category>boltz</category><category>chai</category><category>rfdiffusion</category><category>isomorphic-labs</category><category>recursion</category><category>insilico-medicine</category><category>日本語</category>
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    <guid>https://www.youngju.dev/blog/culture/2026-05-16-ai-biology-drug-discovery-2026-alphafold-3-rosettafold-esm-atlas-boltz-chai-rfdiffusion-isomorphic-recursion-deep-dive</guid>
    <title>AI 생물학 &amp; 신약개발 2026 완벽 가이드 - AlphaFold 3 · RoseTTAFold · ESM Atlas · Boltz · Chai-1 · RFdiffusion · Isomorphic Labs · Recursion · Insilico 심층 분석</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-16-ai-biology-drug-discovery-2026-alphafold-3-rosettafold-esm-atlas-boltz-chai-rfdiffusion-isomorphic-recursion-deep-dive</link>
    <description>2024년 노벨 화학상이 단백질 설계와 AlphaFold에 돌아간 이후, AI 생물학은 학문에서 산업으로 이동했다. AlphaFold 3 · RoseTTAFold All-Atom · ESM-3 · Boltz-2 · Chai-1 · RFdiffusion · ProteinMPNN의 기술적 차이부터 Isomorphic Labs · Recursion · Insilico Medicine의 비즈니스 모델, PDB · UniProt · ChEMBL 같은 데이터셋과 GROMACS · DESMOND 같은 시뮬레이션 인프라, 그리고 한국·일본의 AI 바이오 생태계까지 — 2026년 현재 가장 뜨거운 AI 분야를 한 번에 정리한다.</description>
    <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>ai-biology</category><category>drug-discovery</category><category>alphafold</category><category>rosettafold</category><category>esm</category><category>boltz</category><category>chai</category><category>rfdiffusion</category><category>isomorphic-labs</category><category>recursion</category><category>insilico-medicine</category>
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    <guid>https://www.youngju.dev/blog/culture/2026-05-16-ai-materials-science-chemistry-2026-deepmind-gnome-microsoft-mattergen-orbital-materials-citrine-informatics-schrodinger-rosettafold-all-atom-deep-dive.en</guid>
    <title>AI for Materials Science and Chemistry 2026 Deep Dive — DeepMind GNoME, Microsoft MatterGen, Orbital Materials, Citrine Informatics, Schrödinger, RoseTTAFold All-Atom, Boltz-1, MACE, NequIP, DPMD</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-16-ai-materials-science-chemistry-2026-deepmind-gnome-microsoft-mattergen-orbital-materials-citrine-informatics-schrodinger-rosettafold-all-atom-deep-dive.en</link>
    <description>Everything about AI for materials science and chemistry as of May 2026 in one read. DeepMind GNoMEs 2.2M stable crystals, Microsoft MatterGen and MatterSim, Orbital Materials Orb-v3, MACE, NequIP, Allegro and DeePMD-kit MLIPs, Materials Project, OQMD, AFLOW and JARVIS databases, Citrine and Schrödinger commercial platforms, RoseTTAFold All-Atom, Boltz-1 and Chai-1 drug design, IBM RXN and AiZynthFinder for synthesis planning, and Korean KIST, KIMS, POSTECH, Samsung, plus Japanese NIMS and PFN Matlantis are all covered.</description>
    <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>ai-materials</category><category>chemistry-ai</category><category>gnome-deepmind</category><category>mattergen-microsoft</category><category>orbital-materials</category><category>citrine-informatics</category><category>schrodinger</category><category>rosettafold-aa</category><category>boltz</category><category>mace</category><category>nequip</category><category>dpmd</category><category>english</category>
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    <guid>https://www.youngju.dev/blog/culture/2026-05-16-ai-materials-science-chemistry-2026-deepmind-gnome-microsoft-mattergen-orbital-materials-citrine-informatics-schrodinger-rosettafold-all-atom-deep-dive.ja</guid>
    <title>AI 材料科学・化学 2026 完全ガイド - DeepMind GNoME / Microsoft MatterGen / Orbital Materials / Citrine Informatics / Schrödinger / RoseTTAFold All-Atom / Boltz-1 / MACE / NequIP / DPMD 徹底解説</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-16-ai-materials-science-chemistry-2026-deepmind-gnome-microsoft-mattergen-orbital-materials-citrine-informatics-schrodinger-rosettafold-all-atom-deep-dive.ja</link>
    <description>2026年5月時点の AI 材料科学・化学のすべてを 1 本で。DeepMind GNoME の 220 万安定結晶、Microsoft MatterGen と MatterSim、Orbital Materials Orb-v3、MACE・NequIP・Allegro・DeePMD-kit の MLIP、Materials Project・OQMD・AFLOW・JARVIS データベース、Citrine と Schrödinger の商用プラットフォーム、RoseTTAFold All-Atom・Boltz-1・Chai-1 の創薬、IBM RXN・AiZynthFinder の合成経路、さらに韓国 KIST・KIMS・POSTECH・サムスン、日本の NIMS・PFN Matlantis までを徹底整理する。</description>
    <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>ai-materials</category><category>chemistry-ai</category><category>gnome-deepmind</category><category>mattergen-microsoft</category><category>orbital-materials</category><category>citrine-informatics</category><category>schrodinger</category><category>rosettafold-aa</category><category>boltz</category><category>mace</category><category>nequip</category><category>dpmd</category><category>日本語</category>
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    <guid>https://www.youngju.dev/blog/culture/2026-05-16-ai-materials-science-chemistry-2026-deepmind-gnome-microsoft-mattergen-orbital-materials-citrine-informatics-schrodinger-rosettafold-all-atom-deep-dive</guid>
    <title>AI 재료과학 &amp; 화학 2026 완벽 가이드 - DeepMind GNoME · Microsoft MatterGen · Orbital Materials · Citrine Informatics · Schrödinger · RoseTTAFold All-Atom · Boltz-1 · MACE · NequIP · DPMD 심층 분석</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-16-ai-materials-science-chemistry-2026-deepmind-gnome-microsoft-mattergen-orbital-materials-citrine-informatics-schrodinger-rosettafold-all-atom-deep-dive</link>
    <description>2026년 5월 기준 AI 재료과학·화학의 모든 것을 한 글에서 본다. DeepMind GNoME가 발견한 2.2M개 안정 결정, Microsoft MatterGen·MatterSim, Orbital Materials Orb-v3, MACE·NequIP·Allegro·DeePMD-kit MLIP, Materials Project·OQMD·AFLOW·JARVIS 데이터베이스, Citrine·Schrödinger 상용 플랫폼, RoseTTAFold All-Atom·Boltz-1·Chai-1 약물 설계, IBM RXN·AiZynthFinder 합성 경로, 그리고 한국 KIST·KIMS·POSTECH·삼성, 일본 NIMS·PFN Matlantis까지 완전히 정리한다.</description>
    <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>ai-materials</category><category>chemistry-ai</category><category>gnome-deepmind</category><category>mattergen-microsoft</category><category>orbital-materials</category><category>citrine-informatics</category><category>schrodinger</category><category>rosettafold-aa</category><category>boltz</category><category>mace</category><category>nequip</category><category>dpmd</category>
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