{"id":68536,"date":"2025-11-13T17:40:52","date_gmt":"2025-11-13T09:40:52","guid":{"rendered":"https:\/\/aicats.wiki\/sites\/68536.html"},"modified":"2025-11-13T17:40:52","modified_gmt":"2025-11-13T09:40:52","slug":"latent-labs","status":"publish","type":"sites","link":"https:\/\/aicats.wiki\/en\/sites\/68536-html","title":{"rendered":"Latent Labs"},"content":{"rendered":"<p><strong>Latent Labs<\/strong> It was founded by members of the DeepMind AlphaFold team. <a href=\"https:\/\/aicats.wiki\/en\/2025\/11\/03\/62975-html\/\" title=\"A Comprehensive Analysis of Stanford University&#039;s AI Research and Innovations: A Review of 5 Breakthrough Technologies and Application Scenarios\">AI Biotechnology Platform<\/a>It utilizes flagship AI tools. <strong>Latent-X<\/strong>It completely revolutionizes the design process of protein binders and molecular drugs, supports custom protein targets and binding sites, and generates and screens high-quality new molecular structures with one click.<strong>The platform boasts significant advantages such as experimental verification, free access, and extremely high speed and efficiency.<\/strong>It is widely applicable to biopharmaceutical companies, research institutions, and AI drug development developers.<strong>Latent Labs is leading a new era of AI-driven molecular biology and protein drug discovery.<\/strong><\/p>\n\n\n\n<p><strong>Latent Labs<\/strong>\uff08<a href=\"https:\/\/www.latentlabs.art\" target=\"_blank\"  rel=\"nofollow noopener\"  class=\"external\" >Official website<\/a>As a pioneering platform for AI content detection and molecular design, it was created by top teams including the co-developers of AlphaFold 2 and scientists from DeepMind, propelling drug design and biological research into a new era.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Latent Labs&#039; main functions<\/h2>\n\n\n\n<p>In 2025, Latent Labs will launch its flagship platform. <a href=\"https:\/\/www.latentlabs.com\/latent-x\/\" target=\"_blank\"  rel=\"nofollow noopener\"  class=\"external\" >Latent-X<\/a>The goal is to make organisms &quot;programmable,&quot; significantly improving the efficiency of molecular design in fields such as protein drugs, enzyme optimization, and genetic engineering.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">1. <strong>AI-designed precise protein binding agents<\/strong><\/h3>\n\n\n\n<p>With Latent-X at its core, the platform uses powerful AI technology to directly synthesize protein-binding agents at the atomic level.<strong>Supports uploading protein targets and custom epitopes.<\/strong>It can output molecular structures with one click and filter them by index scoring.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/aicats.wiki\/wp-content\/uploads\/2025\/11\/my_prefix_1762944579.jpg\" alt=\"Latent-X platform interface screenshot\" class=\"wp-image-51824\"\/><figcaption class=\"wp-element-caption\">Photo\/<a title=\"\" href=\"https:\/\/www.latentlabs.com\/latent-x\/\" target=\"_blank\"  rel=\"nofollow noopener\"  class=\"external\" >Latent-X platform interface screenshot<\/a><\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><th>Function<\/th><th>Latent Labs Description<\/th><th>Related Links<\/th><\/tr><tr><td>Supported design types<\/td><td>Metacyclic peptides, Mini-Binders<\/td><td><a href=\"https:\/\/www.latentlabs.com\/latent-x\/\" target=\"_blank\"  rel=\"nofollow noopener\"  class=\"external\" >Latent-X Introduction<\/a><\/td><\/tr><tr><td>Binding affinity performance<\/td><td>Metacyclic peptides: mono\/micromolar; Mini-Binder: picomolar<\/td><td><a href=\"https:\/\/www.latentlabs.com\/latent-x\/\" target=\"_blank\"  rel=\"nofollow noopener\"  class=\"external\" >Experiment Report<\/a><\/td><\/tr><tr><td>User operation threshold<\/td><td>No programming required, full web-based workflow<\/td><td><a href=\"https:\/\/platform.latentlabs.com\/\" target=\"_blank\"  rel=\"nofollow noopener\"  class=\"external\" >Platform entrance<\/a><\/td><\/tr><tr><td>Structural Prediction and Visualization<\/td><td>It features built-in overlay, scoring, and image display.<\/td><td><a href=\"https:\/\/www.latentlabs.com\/latent-x\/\" target=\"_blank\"  rel=\"nofollow noopener\"  class=\"external\" >Demo video<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">2. <strong>Extremely high hit rate and experimental verification<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Metacyclic peptide design three target hit rates<strong>Gundam 91-100%<\/strong><\/li>\n\n\n\n<li>Mini-Binder five-target hit rate<strong>10-64%<\/strong><\/li>\n\n\n\n<li>The strongest binding affinity is superior to similar AI tools (such as RFdiffusion and AlphaProteo).<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">3. <strong>High-speed and efficient online design experience<\/strong><\/h3>\n\n\n\n<p>Leveraging cutting-edge AI models and high-performance cloud computing,<strong>The generation efficiency is 10 times higher than that of traditional models.<\/strong>Molecular generation and structure determination are completed within seconds.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1895\" height=\"1030\" src=\"https:\/\/aicats.wiki\/wp-content\/uploads\/2025\/11\/image-244-4.jpg\" alt=\"Related experimental reports\" class=\"wp-image-68869\"\/><figcaption class=\"wp-element-caption\">Photo\/<a href=\"https:\/\/www.latentlabs.com\/wp-content\/uploads\/2025\/07\/Latent-X-Technical-Report.pdf\" title=\"\" target=\"_blank\"  rel=\"nofollow noopener\"  class=\"external\" >Related experimental reports<\/a><\/figcaption><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Latent Labs Pricing &amp; Solutions<\/h2>\n\n\n\n<p>Platform Launch<a href=\"https:\/\/platform.latentlabs.com\/\" target=\"_blank\"  rel=\"nofollow noopener\"  class=\"external\" >Register and use immediately<\/a>A free trial layer lowers the barrier to AI drug design.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><th>Scheme type<\/th><th>illustrate<\/th><th>cost<\/th><th>Applicable users<\/th><\/tr><tr><td>Free Plan<\/td><td>Register and use immediately; daily credit limit refreshed automatically.<\/td><td>free<\/td><td>All users, startups, academic institutions<\/td><\/tr><tr><td>Enterprise\/Business Edition<\/td><td>Higher computing power and usage, dedicated services<\/td><td>Contact the authorities for discussion<\/td><td>Pharmaceutical R&amp;D teams and users with large demands<\/td><\/tr><tr><td>API Access Plan<\/td><td>The plan includes future support for automated integration.<\/td><td>Not yet open (subject to commercial agreement).<\/td><td>Developers, highly automated scenarios<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"1895\" height=\"1028\" src=\"https:\/\/aicats.wiki\/wp-content\/uploads\/2025\/11\/image-244.png\" alt=\"Image\" class=\"wp-image-68872\"\/><figcaption class=\"wp-element-caption\">Image \/ Free Use Statement<\/figcaption><\/figure>\n\n\n\n<p>Please refer to the Latent Labs pricing FAQ for details.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">How to use Latent Labs<\/h2>\n\n\n\n<ol class=\"wp-block-list\">\n<li><a href=\"https:\/\/platform.latentlabs.com\/\" target=\"_blank\"  rel=\"nofollow noopener\"  class=\"external\" >Go to platform to register\/login<\/a><\/li>\n\n\n\n<li>Upload protein target structure data<\/li>\n\n\n\n<li>Specify the epitope\/hotspot.<\/li>\n\n\n\n<li>Choose either macrocyclic peptide or mini-binder type.<\/li>\n\n\n\n<li>One-click generation of dozens to hundreds of binder molecules<\/li>\n\n\n\n<li>Automatic sorting and scoring, selecting high-scoring solutions.<\/li>\n\n\n\n<li>Export sequences and 3D structures (non-exclusive license)<\/li>\n<\/ol>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"1905\" height=\"1016\" src=\"https:\/\/aicats.wiki\/wp-content\/uploads\/2025\/11\/image-245.png\" alt=\"Registration Access Page\" class=\"wp-image-68877\"\/><figcaption class=\"wp-element-caption\">Photo\/<a href=\"https:\/\/form.typeform.com\/to\/SxPO1WRx?typeform-source=platform.latentlabs.com\" title=\"\" target=\"_blank\"  rel=\"nofollow noopener\"  class=\"external\" >Registration Access Page<\/a><\/figcaption><\/figure>\n\n\n\n<p><strong>The platform greatly simplifies molecular design and lowers the barrier to AI protein design.<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><th>step<\/th><th>illustrate<\/th><th>Support Page<\/th><\/tr><tr><td>Platform Registration<\/td><td>Free registration, one-click login<\/td><td><a href=\"https:\/\/platform.latentlabs.com\/\" target=\"_blank\"  rel=\"nofollow noopener\"  class=\"external\" >Entrance<\/a><\/td><\/tr><tr><td>Data Upload<\/td><td>Supports multiple protein structure files<\/td><td>Official website guide<\/td><\/tr><tr><td>Target and hot zone definition<\/td><td>Freely defined binding sites<\/td><td>Built-in guide<\/td><\/tr><tr><td>Results intelligent sorting\/filtering<\/td><td>Optimization based on experimental scoring<\/td><td>Results Page<\/td><\/tr><tr><td>Structure visualization and download<\/td><td>3D visualization, supports export<\/td><td>Platform Interface<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Latent Labs&#039; target audience<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Innovative biopharmaceutical companies<\/strong>Shorten the new drug development cycle and reduce risks<\/li>\n\n\n\n<li><strong>Biotechnology startup team<\/strong>No need to build your own AI team to use cutting-edge tools<\/li>\n\n\n\n<li><strong>Universities and research institutions<\/strong>Low barriers to entry promote protein research and experimental validation<\/li>\n\n\n\n<li><strong>AI\/Pharmaceutical Industry Developers<\/strong>In the future, APIs can be integrated into automated processes.<\/li>\n<\/ul>\n\n\n\n<p>The platform&#039;s adaptability and future API support are particularly important for the integration and innovation of numerous disciplines.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">The team and technology behind Latent Labs<\/h2>\n\n\n\n<p>The team members come from DeepMind AlphaFold 1\/2\/3, Microsoft, Stability AI, and others. CEO Simon Kohl said, &quot;We are making biological research as engineerable as semiconductors.&quot;\u201c<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1887\" height=\"1030\" src=\"https:\/\/aicats.wiki\/wp-content\/uploads\/2025\/11\/image-246.jpg\" alt=\"Team Page\" class=\"wp-image-68880\"\/><figcaption class=\"wp-element-caption\">Photo\/<a href=\"https:\/\/www.latentlabs.com\/team\" target=\"_blank\"  rel=\"nofollow noopener\"  class=\"external\" >Team Page<\/a><\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><th>Position<\/th><th>Representatives<\/th><th>Background &amp; Experience<\/th><\/tr><tr><td>Founder &amp; CEO<\/td><td>Simon Kohl<\/td><td>AlphaFold2 creators and former DeepMind team<\/td><\/tr><tr><td>Technical backbone<\/td><td>Alex Bridgland<\/td><td>AlphaFold full-generation product development<\/td><\/tr><tr><td>Biological Algorithm Engineering<\/td><td>Dave Yuan<\/td><td>Zymergen, Mammoth Biosciences<\/td><\/tr><tr><td>Business\/Platform Manager<\/td><td>Martha Carruthers<\/td><td>Pear Therapeutics<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>See more<a href=\"https:\/\/www.latentlabs.com\/team\" target=\"_blank\"  rel=\"nofollow noopener\"  class=\"external\" >Team Page<\/a>\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Platform&#039;s unique advantages and future development<\/h2>\n\n\n\n<p><strong>Latent Labs<\/strong> It sets new benchmarks in experimental validation, model innovation, rapid AI generation, and free access. In the future, it will support more molecular models such as nanobody and antibody-based drugs, contributing to drug diversity.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><th>category<\/th><th>Key features<\/th><\/tr><tr><td>Academic\/Experimental Adaptability<\/td><td>All AI designs have been experimentally validated and demonstrate superior user-friendliness compared to traditional designs.<\/td><\/tr><tr><td>Interface and experience<\/td><td>No local deployment required, zero-code web operation<\/td><\/tr><tr><td>Data security\/compliance<\/td><td>GDPR standards ensure strict data confidentiality.<\/td><\/tr><tr><td>Future expansion<\/td><td>Will support antibody and API automation<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Frequently Asked Questions<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">1. How does the platform ensure the validity of the generated structure?<\/h3>\n\n\n\n<p>All AI design structures use the same approach as those in the paper.<strong>in silico scoring system<\/strong>Based on multi-target experimental verification, it is recommended that &quot;PASS&quot; subjects be used for experiments. See details.<a href=\"https:\/\/www.latentlabs.com\/wp-content\/uploads\/2025\/07\/Latent-X-Technical-Report.pdf\" target=\"_blank\"  rel=\"nofollow noopener\"  class=\"external\" >Technical Report<\/a>\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">2. How are user data and privacy protected?<\/h3>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1895\" height=\"1024\" src=\"https:\/\/aicats.wiki\/wp-content\/uploads\/2025\/11\/image-246-1.jpg\" alt=\"Privacy Policy\" class=\"wp-image-68883\"\/><figcaption class=\"wp-element-caption\">Photo\/<a href=\"https:\/\/www.latentlabs.com\/privacy-policy\" target=\"_blank\"  rel=\"nofollow noopener\"  class=\"external\" >Privacy Policy<\/a><\/figcaption><\/figure>\n\n\n\n<p>User-generated protein sequences and structures<strong>Non-exclusive ownership by users<\/strong>The data is strictly protected in accordance with GDPR, used only for platform statistics, and will never be leaked. See details.<a href=\"https:\/\/www.latentlabs.com\/privacy-policy\" target=\"_blank\"  rel=\"nofollow noopener\"  class=\"external\" >Privacy Policy<\/a>\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">3. What new features will emerge in the future?<\/h3>\n\n\n\n<p>The model will continue to iterate and will support nanobody, antibody, and API integration in the future, facilitating automated drug development.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><strong>As a key engine driving the future of programmable biology, Latent Labs injects unprecedented efficiency and innovation into protein design and drug discovery, and is open to the scientific and industrial communities. The era of &quot;AI-driven biology&quot; has arrived.<\/strong><\/p>","protected":false},"author":3,"comment_status":"open","ping_status":"closed","template":"","meta":{"_crsspst_to_aicatswiki":true,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0},"content_visibility":[262],"sitetag":[17,1661,1662,1664,1663],"favorites":[578],"class_list":{"0":"post-68536","1":"sites","2":"type-sites","3":"status-publish","4":"hentry","5":"sitetag-ai","10":"favorites-llm-benchmarks"},"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/aicats.wiki\/en\/wp-json\/wp\/v2\/sites\/68536","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aicats.wiki\/en\/wp-json\/wp\/v2\/sites"}],"about":[{"href":"https:\/\/aicats.wiki\/en\/wp-json\/wp\/v2\/types\/sites"}],"author":[{"embeddable":true,"href":"https:\/\/aicats.wiki\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/aicats.wiki\/en\/wp-json\/wp\/v2\/comments?post=68536"}],"version-history":[{"count":1,"href":"https:\/\/aicats.wiki\/en\/wp-json\/wp\/v2\/sites\/68536\/revisions"}],"predecessor-version":[{"id":68888,"href":"https:\/\/aicats.wiki\/en\/wp-json\/wp\/v2\/sites\/68536\/revisions\/68888"}],"wp:attachment":[{"href":"https:\/\/aicats.wiki\/en\/wp-json\/wp\/v2\/media?parent=68536"}],"wp:term":[{"taxonomy":"content_visibility","embeddable":true,"href":"https:\/\/aicats.wiki\/en\/wp-json\/wp\/v2\/content_visibility?post=68536"},{"taxonomy":"sitetag","embeddable":true,"href":"https:\/\/aicats.wiki\/en\/wp-json\/wp\/v2\/sitetag?post=68536"},{"taxonomy":"favorites","embeddable":true,"href":"https:\/\/aicats.wiki\/en\/wp-json\/wp\/v2\/favorites?post=68536"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}