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1<!DOCTYPE html><html><head><meta charSet="utf-8" data-next-head=""/><meta name="viewport" content="width=device-width" data-next-head=""/><link rel="manifest" href="/favicons/site.webmanifest" class="jsx-2024006839" data-next-head=""/><link rel="icon" href="/favicon.ico" class="jsx-2024006839" data-next-head=""/><link rel="icon" type="image/png" sizes="16x16" href="/favicons/favicon-16x16.png" class="jsx-2024006839" data-next-head=""/><link rel="icon" type="image/png" sizes="32x32" href="/favicons/favicon-32x32.png" class="jsx-2024006839" data-next-head=""/><link rel="apple-touch-icon" sizes="180x180" href="/favicons/apple-touch-icon.png" class="jsx-2024006839" data-next-head=""/><title data-next-head="">COGNANO - 創薬開始判断に必要な新規バイオマーカーを提供する</title><meta name="description" content="私たちは、抗体データと最先端のAI技術を活用し、精度の高い創薬シーズや検査薬を開発しています。" data-next-head=""/><meta property="og:type" content="website" data-next-head=""/><meta property="og:site_name" content="COGNANO - 創薬開始判断に必要な新規バイオマーカーを提供する" data-next-head=""/><meta property="og:description" content="私たちは、抗体データと最先端のAI技術を活用し、精度の高い創薬シーズや検査薬を開発しています。" data-next-head=""/><meta property="og:image" content="https://www.cognano.co.jp/ogimages/home-ja-5d961f6fdb401365e9693dfb4f7fd4510bdb6772.png" data-next-head=""/><meta property="og:image:width" content="1200" data-next-head=""/><meta property="og:image:height" content="630" data-next-head=""/><meta property="og:url" content="https://www.cognano.co.jp/" data-next-head=""/><meta name="twitter:card" content="summary_large_image" data-next-head=""/><meta name="twitter:site" content="@cognano_inc" data-next-head=""/><meta name="twitter:title" content="COGNANO - 創薬開始判断に必要な新規バイオマーカーを提供する" data-next-head=""/><meta name="twitter:description" content="私たちは、抗体データと最先端のAI技術を活用し、精度の高い創薬シーズや検査薬を開発しています。" data-next-head=""/><meta name="twitter:image" content="https://www.cognano.co.jp/ogimages/home-ja-5d961f6fdb401365e9693dfb4f7fd4510bdb6772.png" data-next-head=""/><link rel="canonical" href="https://www.cognano.co.jp/" data-next-head=""/><link rel="preload" href="/_next/static/media/NotoSansJP_Black-s.p.2t1ho0x4zgv-k.woff2" as="font" type="font/woff2" crossorigin="anonymous" data-next-font="size-adjust"/><link rel="preload" href="/_next/static/media/NotoSansJP_Regular-s.p.115i4a9mcja78.woff2" as="font" type="font/woff2" crossorigin="anonymous" data-next-font="size-adjust"/><link rel="preload" href="/_next/static/media/NotoSerifJP_Black-s.p.2o1rcvd5a35bu.woff2" as="font" type="font/woff2" crossorigin="anonymous" data-next-font="size-adjust"/><link rel="preload" href="/_next/static/media/NotoSerifJP_Regular-s.p.0ojp-ml2k_cg6.woff2" as="font" type="font/woff2" crossorigin="anonymous" data-next-font="size-adjust"/><link rel="preload" href="/_next/static/chunks/0rnck03msgtox.css" as="style"/><link rel="preload" href="/_next/static/chunks/3prxrmrnq4vuy.css" as="style"/><link rel="stylesheet" href="/_next/static/chunks/0rnck03msgtox.css" data-n-g=""/><link rel="stylesheet" href="/_next/static/chunks/3prxrmrnq4vuy.css" data-n-g=""/><noscript data-n-css=""></noscript>
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1<div class="Home-module__g21JLG__wrapper"><div class="container"><div class="Home-module__g21JLG__hero"><div class="Home-module__g21JLG__heroText"><div class="rotion-blocks"><div><h2 class="rotion-text rotion-text-h1" id="4c92b426"><span class="rotion-richtext-annot rotion-richtext-default">創薬開始判断に必要な新規バイオマーカーを提供する</span></h2></div><div><p class="rotion-text rotion-text-p"><span class="rotion-richtext-annot rotion-richtext-default">私たちは、抗体データと最先端のAI技術を活用し、精度の高い創薬シーズや検査薬を開発しています。豊富なデータをもとに効率的に治療候補を見つけ出し、創薬のスピードを大幅に向上させます。未解決の医療課題を解決し、患者に新たな希望を届けています。</span></p></div></div><p class="Home-module__g21JLG__button"><a href="/about">私たちについて</a></p></div><div class="Home-module__g21JLG__heroImage"><div class="Home-module__g21JLG__ibmet"><img alt="IBMET" loading="lazy" width="625" height="750" decoding="async" data-nimg="1" style="color:transparent" src="/static/ibmet-flow.webp"/></div></div></div></div></div><div class="Home-module__g21JLG__elevatorPitch"><div class="Home-module__g21JLG__problemAndSolution"><div class="Home-module__g21JLG__problem"><div class="Home-module__g21JLG__halfcontainerL"><div class="Home-module__g21JLG__problemImage"><img alt="Telescope" loading="lazy" width="200" height="200" decoding="async" data-nimg="1" style="color:transparent" src="/static/problem.webp"/></div><div class="rotion-blocks"><div><h2 class="rotion-text rotion-text-h1" id="1228ffcb"><span class="rotion-richtext-annot rotion-richtext-default">問題</span></h2></div><div><p class="rotion-text rotion-text-p"><span class="rotion-richtext-annot rotion-richtext-default">新薬の開発には、平均して約20億ドル以上の費用と10年以上の時間が必要とされています。さらに、安全性や有効性を確認するために、前臨床試験から市場に出るまでの成功率はわずか約10%未満と非常に低いのが現状です。特にがん治療薬開発の場合、正常細胞を傷つけない薬剤を設計することが難しいため、成功率は約3~5%です。</span></p></div><div><p class="rotion-text rotion-text-p"><span class="rotion-richtext-annot rotion-richtext-default">このため、希少疾患や特定のがんなど、十分な治療法が確立されていない分野が多く存在します。創薬は時間とコストがかかるだけでなく、非常にリスクの高い挑戦といえます。</span></p></div></div></div></div><div class="Home-module__g21JLG__solution"><div class="Home-module__g21JLG__halfcontainerR"><div class="Home-module__g21JLG__solutionImage"><img alt="AI" loading="lazy" width="200" height="200" decoding="async" data-nimg="1" style="color:transparent" src="/static/solution.webp"/></div><div class="rotion-blocks"><div><h2 class="rotion-text rotion-text-h1" id="f6ef6277"><span class="rotion-richtext-annot rotion-richtext-default">解決</span></h2></div><div><p class="rotion-text rotion-text-p"><span class="rotion-richtext-annot rotion-richtext-default">当社では、アルパカやサメを自社で飼育し、それにより得られる膨大なVHHデータを活用しています。この貴重なデータセットをもとに、統計手法と大規模言語モデル(LLM)を組み合わせて、効率的に新しい抗原を特定する技術「IBMET(逆バイオマーカー探索技術)」を開発しました。</span></p></div><div><p class="rotion-text rotion-text-p"><span class="rotion-richtext-annot rotion-richtext-default">この先進的なアプローチにより、正確な構造をターゲットとする創薬計画を立て、成功確率を上げることができます。また、新しいバイオマーカーの発見により、未解決の医療ニーズに応えることが可能になります。</span></p></div></div></div></div></div><div class="Home-module__g21JLG__proof"><div class="Home-module__g21JLG__halfcontainerC"><div class="rotion-blocks"><div><h2 class="rotion-text rotion-text-h1" id="d8c1c47f"><span class="rotion-richtext-annot rotion-richtext-default">実績</span></h2></div><div><p class="rotion-text rotion-text-p"><span class="rotion-richtext-annot rotion-richtext-default">私たちは、未解決の医療ニーズの一つであるTNBC(トリプルネガティブ乳がん)用のバイオマーカーを開発し、その成果を学術論文として公開しています。この研究は現在、マウス実験の段階に進んでいます。</span></p></div><div><p class="rotion-text rotion-text-p"><span class="rotion-richtext-annot rotion-richtext-default">さらに、ヒトIL-6タンパク質や新型コロナウイルスのスパイクタンパク質を用いて免疫した2頭のアルパカから生成したVHHと抗原の結合データセットを公開しました。このデータセットは、AIの事前学習に活用できるコーパスとともに提供されており、研究者や開発者に幅広く役立てられます。</span></p></div></div><p class="Home-module__g21JLG__button"><a href="/datasets">データセットを見る</a></p></div></div></div><div class="Home-module__g21JLG__qesWrapper"><div class="Home-module__g21JLG__qes"><div class="Home-module__g21JLG__qe"><p class="Home-module__g21JLG__qeTitle">VHH抗体の研究</p><p class="Home-module__g21JLG__qeNumber">15<span class="Home-module__g21JLG__qeUnit">å¹´</span></p></div><div class="Home-module__g21JLG__qe"><p class="Home-module__g21JLG__qeTitle">抗原</p><p class="Home-module__g21JLG__qeNumber">50<span class="Home-module__g21JLG__qeUnit">種</span></p></div><div class="Home-module__g21JLG__qe"><p class="Home-module__g21JLG__qeTitle">抗体遺伝子</p><p class="Home-module__g21JLG__qeNumber">3億<span class="Home-module__g21JLG__qeUnit">リード</span></p></div><div class="Home-module__g21JLG__qe"><p class="Home-module__g21JLG__qeTitle">ラベル付き抗体のシーケンス</p><p class="Home-module__g21JLG__qeNumber">3千万<span class="Home-module__g21JLG__qeUnit">クローン</span></p></div></div></div><div class="Home-module__g21JLG__faqsWrapper"><h2 class="Home-module__g21JLG__faqTitle">FAQs</h2><div class="Home-module__g21JLG__faqDesc"><div class="rotion-blocks"><div><p class="rotion-text rotion-text-p"><span class="rotion-richtext-annot rotion-richtext-default">Cognanoはとてもユニークで画期的な手法により創薬シーズを作っています。そのため、さまざまな方々から質問をいただきます。ここでは、その質問に対する答えをいくつかご紹介します。</span></p></div></div></div><div class="Home-module__g21JLG__faqs"><div class="Home-module__g21JLG__faq"><h3 class="Home-module__g21JLG__faqQ">CognanoはいわゆるAI創薬でしょうか?</h3><div class="Home-module__g21JLG__faqA"><div class="rotion-blocks"><div><p class="rotion-text rotion-text-p"><span class="rotion-richtext-annot rotion-richtext-default">一般的なAI創薬は、疾患に関与すると考えられる既知のターゲット(標的分子)への結合物質(主に化学物質)を予想します。Cognanoは、生物免疫力を用いてé«
1˜å“è³ªã§å¤§é‡ã®æŠ—原抗体のデータを生み出し、AIを使って未知の標的分子を発見します。</span></p></div></div></div></div><div class="Home-module__g21JLG__faq"><h3 class="Home-module__g21JLG__faqQ">Cognanoは抗体を売っているのですか?</h3><div class="Home-module__g21JLG__faqA"><div class="rotion-blocks"><div><p class="rotion-text rotion-text-p"><span class="rotion-richtext-annot rotion-richtext-default"> Cognanoは大量の抗原抗体のペア情報を作り出しています。この情報から未知の標的分子を探し出し、網羅的な情報として提供します。ターゲットの網羅的な情報は、創薬開始における圧倒的な優位性を約束するばかりか、承認までにかかる費用や時間を大幅に抑えることができます。</span></p></div></div></div></div></div></div><section class="Home-module__g21JLG__office"><h2 class="Home-module__g21JLG__officeTitle">Office</h2><div class="Home-module__g21JLG__officeInner"><div><div class="Home-module__g21JLG__officeImage"><img alt="Kyoto" loading="lazy" width="600" height="300" decoding="async" data-nimg="1" style="color:transparent" src="/static/kyoto.webp"/><div class="Home-module__g21JLG__officeImageLicense"><p class="App-module__j0npwW__unsplash">Photo by<!-- --> <a href="https://unsplash.com/@blackodc?utm_content=creditCopyText&amp;utm_medium=referral&amp;utm_source=unsplash" target="_blank" rel="noopener noreferrer">Su San Lee</a> <!-- -->on<!-- --> <a href="https://unsplash.com" target="_blank" rel="noopener noreferrer">Unsplash</a></p></div></div><h3 class="Home-module__g21JLG__officeName">京都</h3><p class="Home-module__g21JLG__officeAddress">〒601-1255 京都府京都市左京区上高野東山 64-101<br/>株式会社COGNANO</p></div><div><div class="Home-module__g21JLG__officeImage"><img alt="Davis Square" loading="lazy" width="600" height="300" decoding="async" data-nimg="1" style="color:transparent" src="/static/davis-square.webp"/><div class="Home-module__g21JLG__officeImageLicense"><p class="App-module__j0npwW__unsplash">Photo by<!-- --> <a href="https://commons.wikimedia.org/wiki/File:Davis_Square_looking_north_down_Holland_Street_2.jpg" target="_blank" rel="noopener noreferrer">4300streetcar</a> <!-- -->on<!-- --> <a href="https://en.wikipedia.org/wiki/Somerville,_Massachusetts" target="_blank" rel="noopener noreferrer">wikipedia</a></p></div></div><h3 class="Home-module__g21JLG__officeName">Somerville, USA</h3><p class="Home-module__g21JLG__officeAddress">Spaces Davis Square 240 Elm Street, 2nd Floor, Somerville, MA, 02144<br/>COGNANOUS, Inc.</p></div></div><h2 class="Home-module__g21JLG__officeTitle">Lab</h2><div class="Home-module__g21JLG__labInner"><div><div class="Home-module__g21JLG__officeImage"><img alt="Kyoto Lab" loading="lazy" width="600" height="300" decoding="async" data-nimg="1" style="color:transparent" src="/static/biolab.webp"/><div class="Home-module__g21JLG__officeImageLicense"><p class="App-module__j0npwW__unsplash">Photo by<!-- --> <a href="https://unsplash.com/photos/black-and-silver-coffee-maker-on-white-wooden-table-_9xRHrMOjeg" target="_blank" rel="noopener noreferrer">Trnava University</a> <!-- -->on<!-- --> <a href="https://unsplash.com" target="_blank" rel="noopener noreferrer">Unsplash</a></p></div></div><h3 class="Home-module__g21JLG__officeName">京都</h3><p class="Home-module__g21JLG__officeAddress">〒602-0841 京都府京都市上京区河原町通今出川下る梶井町448-5<br/>クリエイション・コア京都御車</p></div></div></section><div class="container"><div class="Home-module__g21JLG__projectsWrapper"><header class="Home-module__g21JLG__projectsHeader"><h2>プロジェクト</h2><p class="Home-module__g21JLG__projectsIndexLink"><a href="/projects">プロジェクト一覧へ<!-- --> →</a></p></header><div class="rotion-list"><div class="rotion-list-inner"><div class="rotion-list-line"><div class="rotion-list-column0"><div class="rotion-list-title"><span class="rotion-list-title-wrapper "><span class="rotion-richtext-annot rotion-richtext-default">Unmet Medical Needs を解決する創薬パラダイム</span></span></div></div><div class="rotion-list-column1"><div class="rotion-list-richtext"><span class="rotion-richtext-annot rotion-richtext-default">株式会社池田泉州銀行</span></div></div><div class="rotion-list-column2 rotion-list-spacer"></div><div class="rotion-list-column3"><ul class="rotion-list-multiselect-ul"><li class="rotion-list-multiselect-li"><span class="rotion-list-multiselect-wrapper  rotion-list-multiselect-pink">Research Grant</span></li></ul></div><div class="rotion-list-column4"><div class="rotion-list-date"></div></div></div><div class="rotion-list-line"><div class="rotion-list-column0"><div class="rotion-list-title"><span class="rotion-list-title-wrapper "><span class="rotion-richtext-annot rotion-richtext-default">アルパカVHH抗体を用いたサンドイッチ法の高度化による「スマートVHH-ELISA」の開発</span></span></div></div><div class="rotion-list-column1"><div class="rotion-list-richtext"><span class="rotion-richtext-annot rotion-richtext-default">成長型中小企業等研究開発支援事業(経済産業省 Go-Tech事業)</span></div></div><div class="rotion-list-column2 rotion-list-spacer"></div><div class="rotion-list-column3"><ul class="rotion-list-multiselect-ul"><li class="rotion-list-multiselect-li"><span class="rotion-list-multiselect-wrapper  rotion-list-multiselect-pink">Research Grant</span></li></ul></div><div class="rotion-list-column4"><div class="rotion-list-date"></div></div></div><div class="rotion-list-line"><div class="rotion-list-column0"><div class="rotion-list-title"><span class="rotion-list-title-wrapper "><span class="rotion-richtext-annot rotion-richtext-default">京都市ベンチャー企業目利き委員会A ランク認定</span></span></div></div><div class="rotion-list-column1"><div class="rotion-list-richtext"><span class="rotion-richtext-annot rotion-richtext-default">京都市</span></div></div><div class="rotion-list-column2 rotion-list-spacer"></div><div class="rotion-list-column3"><ul class="rotion-list-multiselect-ul"><li class="rotion-list-multiselect-li"><span class="rotion-list-multiselect-wrapper  rotion-list-multiselect-pink">Research Grant</span></li><li class="rotion-list-multiselect-li"><span class="rotion-list-multiselect-wrapper  rotion-list-multiselect-gray">Certification</span></li></ul></div><div class="rotion-list-column4"><div class="rotion-list-date"></div></div></div><div class="rotion-list-line"><div class="rotion-list-column0"><div class="rotion-list-title"><span class="rotion-list-title-wrapper "><span class="rotion-richtext-annot rotion-richtext-default">アルパカ繁殖の効率向上の方法論開発</span></span></div></div><div class="rotion-list-column1"><div class="rotion-list-richtext"><span class="rotion-richtext-annot rotion-richtext-default">京大農学研究科応用生物科学専攻生殖生物学研究室(南直治郎教授)</span></div></div><div class="rotion-list-column2 rotion-list-spacer"></div><div class="rotion-list-column3"><ul class="rotion-list-multiselect-ul"><li class="rotion-list-multiselect-li"><span class="rotion-list-multiselect-wrapper  rotion-list-multiselect-brown">Joint Research</span></li></ul></div><div class="rotion-list-column4"><div class="rotion-list-date"></div></div></div><div class="rotion-list-line"><div class="rotion-list-column0"><div class="rotion-list-title"><span class="rotion-list-title-wrapper "><span class="rotion-richtext-annot rotion-richtext-default">下水中の環境ウイルス検査装置の開発</span></span></div></div><div class="rotion-list-column1"><div class="rotion-list-richtext"><span class="rotion-richtext-annot rotion-richtext-default">「産学公の森」(企業の森・産学の森)推進事業補助金(公益財団法人京都産業21)</span></div></div><div class="rotion-list-column2 rotion-list-spacer"></div><div class="rotion-list-column3"><ul class="rotion-list-multiselect-ul"><li class="rotion-list-multiselect-li"><span class="rotion-list-multiselect-wrapper  rotion-list-multiselect-pink">Research Grant</span></li></ul></div><div class="rotion-list-column4"><div class="rotion-list-date"></div></div></div></div></div></div></div><div class="Home-module__g21JLG__openfold"><div class="Home-module__g21JLG__openfoldInner"><div class="Home-module__g21JLG__openfoldMember"><div class="rotion-blocks"><div><p class="rotion-text rotion-text-p"><span class="rotion-richtext-annot rotion-richtext-default">私たちは、AIを活用したタンパク質構造予測のオープンソースプロジェクト「OpenFold」に参画しています。オープンな技術と研究を通じて、生命科学の発展に貢献してまいります。</span></p></div></div></div><div class="Home-module__g21JLG__openfoldAbout"><a href="https://openfold.io/" target="_blank" rel="noreferrer noopener"><img alt="OpenFold" loading="lazy" width="455" height="112" decoding="async" data-nimg="1" style="color:transparent" src="/static/openfold.png"/><p>OpenFoldは、AIを活用した計算構造生物学の研究を推進する非営利コンソーシアムです。無償でオープンソースのソフトウェアを開発することで、タンパク質構造予測の民主化と創薬の加速を目指しています。アカデミアや産業界のリーダーと連携しながら、AIの力で
1革新的な治療法の発見を可能にする最先端技術を構築しています。</p></a></div></div></div><div class="container"><div class="Home-module__g21JLG__blogWrapper"><header class="Home-module__g21JLG__blogHeader"><h2>ブログ</h2><p class="Home-module__g21JLG__blogIndexLink"><a href="/blog">ブログ一覧へ<!-- --> →</a></p></header><div class="Home-module__g21JLG__postContainer"><div class="Blog-module__vvsJzG__blog"><a href="/blog/why-so-few-drug-discovery-target-companies"><p class="Blog-module__vvsJzG__title"><span class="Blog-module__vvsJzG__titleText">創薬標的を発見する会社は、なぜ世界にほとんど存在しないのか? — Recursion、Insilico Medicine、COGNANOが挑む創薬最上流のゲーム (1)</span></p><div class="Blog-module__vvsJzG__meta"><span class="Blog-module__vvsJzG__date">2026年6月5日</span><p class="Blog-module__vvsJzG__authors"><span class="Blog-module__vvsJzG__author"><img alt="Akihiro Imura" loading="lazy" width="30" height="30" decoding="async" data-nimg="1" style="color:transparent" src="/images/database-avatar-2f1298fb-788c-4a5d-98e2-1c9e918969ce-78c55e2501ba7ab6dd7e0124d09d8b2df4680e08.webp"/><span class="undefined undefined">Akihiro Imura</span></span></p></div></a></div><div class="Blog-module__vvsJzG__blog"><a href="/blog/ai-drug-discovery-ukraine-cee"><p class="Blog-module__vvsJzG__title"><span class="Blog-module__vvsJzG__titleText">AI創薬「第4の波」を日本から — ウクライナ・中東欧と挑むCOGNANOの新たな挑戦</span></p><div class="Blog-module__vvsJzG__meta"><span class="Blog-module__vvsJzG__date">2026年3月23日</span><p class="Blog-module__vvsJzG__authors"><span class="Blog-module__vvsJzG__author"><img alt="Akihiro Imura" loading="lazy" width="30" height="30" decoding="async" data-nimg="1" style="color:transparent" src="/images/database-avatar-2f1298fb-788c-4a5d-98e2-1c9e918969ce-78c55e2501ba7ab6dd7e0124d09d8b2df4680e08.webp"/><span class="undefined undefined">Akihiro Imura</span></span></p></div></a></div><div class="Blog-module__vvsJzG__blog"><a href="/blog/modern-medicine-begins-with-biomarkers"><p class="Blog-module__vvsJzG__title"><span class="Blog-module__vvsJzG__titleText">現代医学はバイオマーカーから始まる — 創薬は分子標的から構造標的へ</span></p><div class="Blog-module__vvsJzG__meta"><span class="Blog-module__vvsJzG__date">2025年9月17日</span><p class="Blog-module__vvsJzG__authors"><span class="Blog-module__vvsJzG__author"><img alt="Akihiro Imura" loading="lazy" width="30" height="30" decoding="async" data-nimg="1" style="color:transparent" src="/images/database-avatar-2f1298fb-788c-4a5d-98e2-1c9e918969ce-78c55e2501ba7ab6dd7e0124d09d8b2df4680e08.webp"/><span class="undefined undefined">Akihiro Imura</span></span></p></div></a></div><div class="Blog-module__vvsJzG__blog"><a href="/blog/game-changing-initiatives-unveiled"><p class="Blog-module__vvsJzG__title"><span class="Blog-module__vvsJzG__titleText">完全自動創薬の考え方とAI創薬チャレンジ構想</span></p><div class="Blog-module__vvsJzG__meta"><span class="Blog-module__vvsJzG__date">2025年8月21日</span><p class="Blog-module__vvsJzG__authors"><span class="Blog-module__vvsJzG__author"><img alt="Akihiro Imura" loading="lazy" width="30" height="30" decoding="async" data-nimg="1" style="color:transparent" src="/images/database-avatar-2f1298fb-788c-4a5d-98e2-1c9e918969ce-78c55e2501ba7ab6dd7e0124d09d8b2df4680e08.webp"/><span class="undefined undefined">Akihiro Imura</span></span></p></div></a></div><div class="Blog-module__vvsJzG__blog"><a href="/blog/ukraine-travelogue"><p class="Blog-module__vvsJzG__title"><span class="Blog-module__vvsJzG__titleText">ウクライナ戦時下ビジネス紀行</span></p><div class="Blog-module__vvsJzG__meta"><span class="Blog-module__vvsJzG__date">2025年7月22日</span><p class="Blog-module__vvsJzG__authors"><span class="Blog-module__vvsJzG__author"><img alt="Akihiro Imura" loading="lazy" width="30" height="30" decoding="async" data-nimg="1" style="color:transparent" src="/images/database-avatar-2f1298fb-788c-4a5d-98e2-1c9e918969ce-78c55e2501ba7ab6dd7e0124d09d8b2df4680e08.webp"/><span class="undefined undefined">Akihiro Imura</span></span></p></div></a></div></div></div></div><div class="Home-module__g21JLG__video"><div class="Home-module__g21JLG__videoInner"><div class="rotion-blocks"><div><div class="rotion-video"><div class="rotion-video-inner"><div class="rotion-video-html rotion-video-youtube"><iframe width="200" height="113" src="https://www.youtube.com/embed/HCuzBYSQtDE?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture;
1 web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen title="Alpaca and AI Discovery of novel cancer specific antigens"></iframe></div><div class="rotion-video-caption"></div></div></div></div></div></div></div><div class="container"><div class="Home-module__g21JLG__newsWrapper"><header class="Home-module__g21JLG__newsHeader"><h2>お知らせ</h2><p class="Home-module__g21JLG__newsIndexLink"><a href="/news">お知らせ一覧へ<!-- --> →</a></p></header><div><div class="Home-module__g21JLG__news"><ul class="Home-module__g21JLG__newsTags"><li><span class="Home-module__g21JLG__newsIcon"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 384 512"><path d="M48 0C21.5 0 0 21.5 0 48V464c0 26.5 21.5 48 48 48h96V432c0-26.5 21.5-48 48-48s48 21.5 48 48v80h96c26.5 0 48-21.5 48-48V48c0-26.5-21.5-48-48-48H48zM64 240c0-8.8 7.2-16 16-16h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H80c-8.8 0-16-7.2-16-16V240zm112-16h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H176c-8.8 0-16-7.2-16-16V240c0-8.8 7.2-16 16-16zm80 16c0-8.8 7.2-16 16-16h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H272c-8.8 0-16-7.2-16-16V240zM80 96h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H80c-8.8 0-16-7.2-16-16V112c0-8.8 7.2-16 16-16zm80 16c0-8.8 7.2-16 16-16h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H176c-8.8 0-16-7.2-16-16V112zM272 96h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H272c-8.8 0-16-7.2-16-16V112c0-8.8 7.2-16 16-16z"></path></svg></span>Company</li></ul><div><h3 class="Home-module__g21JLG__newsTitle"><a href="/news/vhh-evaluation-collaboration">共同イノベーションへの招待:研究向けにVHHサンプルを公開</a></h3><p class="Home-module__g21JLG__newsDate"><span class="Home-module__g21JLG__newsCalendar"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path d="M128 0c17.7 0 32 14.3 32 32V64H288V32c0-17.7 14.3-32 32-32s32 14.3 32 32V64h48c26.5 0 48 21.5 48 48v48H0V112C0 85.5 21.5 64 48 64H96V32c0-17.7 14.3-32 32-32zM0 192H448V464c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48V192zm64 80v32c0 8.8 7.2 16 16 16h32c8.8 0 16-7.2 16-16V272c0-8.8-7.2-16-16-16H80c-8.8 0-16 7.2-16 16zm128 0v32c0 8.8 7.2 16 16 16h32c8.8 0 16-7.2 16-16V272c0-8.8-7.2-16-16-16H208c-8.8 0-16 7.2-16 16zm144-16c-8.8 0-16 7.2-16 16v32c0 8.8 7.2 16 16 16h32c8.8 0 16-7.2 16-16V272c0-8.8-7.2-16-16-16H336zM64 400v32c0 8.8 7.2 16 16 16h32c8.8 0 16-7.2 16-16V400c0-8.8-7.2-16-16-16H80c-8.8 0-16 7.2-16 16zm144-16c-8.8 0-16 7.2-16 16v32c0 8.8 7.2 16 16 16h32c8.8 0 16-7.2 16-16V400c0-8.8-7.2-16-16-16H208zm112 16v32c0 8.8 7.2 16 16 16h32c8.8 0 16-7.2 16-16V400c0-8.8-7.2-16-16-16H336c-8.8 0-16 7.2-16 16z"></path></svg></span>2026年4月16日</p></div></div><div class="Home-module__g21JLG__news"><ul class="Home-module__g21JLG__newsTags"><li><span class="Home-module__g21JLG__newsIcon"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 384 512"><path d="M48 0C21.5 0 0 21.5 0 48V464c0 26.5 21.5 48 48 48h96V432c0-26.5 21.5-48 48-48s48 21.5 48 48v80h96c26.5 0 48-21.5 48-48V48c0-26.5-21.5-48-48-48H48zM64 240c0-8.8 7.2-16 16-16h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H80c-8.8 0-16-7.2-16-16V240zm112-16h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H176c-8.8 0-16-7.2-16-16V240c0-8.8 7.2-16 16-16zm80 16c0-8.8 7.2-16 16-16h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H272c-8.8 0-16-7.2-16-16V240zM80 96h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H80c-8.8 0-16-7.2-16-16V112c0-8.8 7.2-16 16-16zm80 16c0-8.8 7.2-16 16-16h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H176c-8.8 0-16-7.2-16-16V112zM272 96h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H272c-8.8 0-16-7.2-16-16V112c0-8.8 7.2-16 16-16z"></path></svg></span>Company</li></ul><div><h3 class="Home-module__g21JLG__newsTitle"><a href="/news/sepiq-antibody-big-data-innovation">非営利コンソーシアムSEPIQへ世界最大級の抗体データを提供</a></h3><p class="Home-module__g21JLG__newsDate"><span class="Home-module__g21JLG__newsCalendar"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path d="M128 0c17.7 0 32 14.3 32 32V64H288V32c0-17.7 14.3-32 32-32s32 14.3 32 32V64h48c26.5 0 48 21.5 48 48v48H0V112C0 85.5 21.5 64 48 64H96V32c0-17.7 14.3-32 32-32zM0 192H448V464c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48V192zm64 80v32c0 8.8 7.2 16 16 16h32c8.8 0 16-7.2 16-16V272c0-8.8-7.2-16-16-16H80c-8.8 0-16 7.2-16 16zm128 0v32c0 8.8 7.2 16 16 16h32c8.8 0 16-7.2 16-16V272c0-8.8-7.2-16-16-16H208c-8.8 0-16 7.2-16 16zm144-16c-8.8 0-16 7.2-16 16v32c0 8.8 7.2 16 16 16h32c8.8 0 16-7.2 16-16V272c0-8.8-7.2-16-16-16H336zM64 400v32c0 8.8 7.2 16 16 16h32c8.8 0 16-7.2 16-16V400c0-8.8-7.2-16-16-16H80c-8.8 0-16 7.2-16 16zm144-16c-8.8 0-16 7.2-16 16v32c0 8.8 7.2 16 16 16h32c8.8 0 16-7.2 16-16V400c0-8.8-7.2-16-16-16H208zm112 16v32c0 8.8 7.2 16 16 16h32c8.8 0 16-7.2 16-16V400c0-8.8-7.2-16-16-16H336c-8.8 0-16 7.2-16 16z"></path></svg></span>2026年3月23日</p></div></div><div class="Home-module__g21JLG__news"><ul class="Home-module__g21JLG__newsTags"><li><span class="Home-module__g21JLG__newsIcon"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 384 512"><path d="M48 0C21.5 0 0 21.5 0 48V464c0 26.5 21.5 48 48 48h96V432c0-26.5 21.5-48 48-48s48 21.5 48 48v80h96c26.5 0 48-21.5 48-48V48c0-26.5-21.5-48-48-48H48zM64 240c0-8.8 7.2-16 16-16h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H80c-8.8 0-16-7.2-16-16V240zm112-16h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H176c-8.8 0-16-7.2-16-16V240c0-8.8 7.2-16 16-16zm80 16c0-8.8 7.2-16 16-16h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H272c-8.8 0-16-7.2-16-16V240zM80 96h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H80c-8.8 0-16-7.2-16-16V112c0-8.8 7.2-16 16-16zm80 16c0-8.8 7.2-16 16-16h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H176c-8.8 0-16-7.2-16-16V112zM272 96h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H272c-8.8 0-16-7.2-16-16V112c0-8.8 7.2-16 16-16z"></path></svg></span>Company</li></ul><div><h3 class="Home-module__g21JLG__newsTitle"><a href="/news/cognano-joins-openfold">AIを活用したタンパク質構造予測のオープンソースプロジェクト「OpenFold」に参画</a></h3><p class="Home-module__g21JLG__newsDate"><span class="Home-module__g21JLG__newsCalendar"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 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16 16 16h32c8.8 0 16-7.2 16-16V272c0-8.8-7.2-16-16-16H80c-8.8 0-16 7.2-16 16zm128 0v32c0 8.8 7.2 16 16 16h32c8.8 0 16-7.2 16-16V272c0-8.8-7.2-16-16-16H208c-8.8 0-16 7.2-16 16zm144-16c-8.8 0-16 7.2-16 16v32c0 8.8 7.2 16 16 16h32c8.8 0 16-7.2 16-16V272c0-8.8-7.2-16-16-16H336zM64 400v32c0 8.8 7.2 16 16 16h32c8.8 0 16-7.2 16-16V400c0-8.8-7.2-16-16-16H80c-8.8 0-16 7.2-16 16zm144-16c-8.8 0-16 7.2-16 16v32c0 8.8 7.2 16 16 16h32c8.8 0 16-7.2 16-16V400c0-8.8-7.2-16-16-16H208zm112 16v32c0 8.8 7.2 16 16 16h32c8.8 0 16-7.2 16-16V400c0-8.8-7.2-16-16-16H336c-8.8 0-16 7.2-16 16z"></path></svg></span>2024年9月30日</p></div></div></div></div></div></main><footer class="App-module__j0npwW__footer container"><div class="App-module__j0npwW__footerinner"><span class="logo"><a href="/"><img alt="Cognano Logo" loading="lazy" width="124" height="20" decoding="async" data-nimg="1" style="color:transparent;filter:invert(100%)" src="/static/cognano.svg"/></a></span><div 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