Video yükleniyor...

Video Yüklenemedi

Bu video yüklenirken bir sorun oluştu. Bu geçici bir ağ sorunundan kaynaklanıyor olabilir veya video kullanılamıyor olabilir.

Ana Sayfaya Dön

Introducing #mBER: our open-source AI library for de novo, format-aware antibody design. Paired with in vivo multiplexed screening, mBER forms Manifold Bio's direct-to-vivo drug discovery platform, bridging the gap between AI-guided design and biological translation.

Manifold Bio

1,984 subscribers

15,504 görüntüleme • 9 ay önce •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

We recently released a technical report highlighting how Isomorphic Labs’ drug design engine is achieving a step change in how we model complex biological mechanisms, consistently outperforming industry benchmarks. Read our blog to discover how we’re bridging the gap between structure prediction and rational drug design. You can find the link in the comments.

We recently released a technical report highlighting how Isomorphic Labs’ drug design engine is achieving a step change in how we model complex biological mechanisms, consistently outperforming industry benchmarks. Read our blog to discover how we’re bridging the gap between structure prediction and rational drug design. You can find the link in the comments.

Isomorphic Labs

125,156 görüntüleme • 4 ay önce

One of the biggest unsolved problems in making medicines is what comes after AI design. Gleb Kuznetsov, cofounder and CEO of Manifold Bio, is tackling the in vivo bottleneck. Screening hundreds of thousands of antibody designs in a single animal changes what’s possible in drug discovery. I’ve known Gleb since he was my TA at MIT, so it was really fun to have him on Transcribed. We talked about: - Why he left Google to start over in biology (literally showing up at george church’s lab and asking how he could be useful) - How 3 companies came out of his grad school lab bay - What it takes to build a true platform company - Where AI-driven drug discovery is actually headed

One of the biggest unsolved problems in making medicines is what comes after AI design. Gleb Kuznetsov, cofounder and CEO of Manifold Bio, is tackling the in vivo bottleneck. Screening hundreds of thousands of antibody designs in a single animal changes what’s possible in drug discovery. I’ve known Gleb since he was my TA at MIT, so it was really fun to have him on Transcribed. We talked about: - Why he left Google to start over in biology (literally showing up at george church’s lab and asking how he could be useful) - How 3 companies came out of his grad school lab bay - What it takes to build a true platform company - Where AI-driven drug discovery is actually headed

Sajith Wickramasekara

10,659 görüntüleme • 5 ay önce

Must-know open-source and free tools for coders - Open source toggles library - Free motion design tool for web - Open-source API client - Open-source backend for AI apps - Git client for modern coding workflows

Must-know open-source and free tools for coders - Open source toggles library - Free motion design tool for web - Open-source API client - Open-source backend for AI apps - Git client for modern coding workflows

Csaba Kissi

16,314 görüntüleme • 9 gün önce

Open-source and free apps for coders - Open-source agentic development in one window - Free domain rating tracker - Open source framework for building AI agents - 158 design experiments - Free design inspiration

Open-source and free apps for coders - Open-source agentic development in one window - Free domain rating tracker - Open source framework for building AI agents - 158 design experiments - Free design inspiration

Csaba Kissi

48,898 görüntüleme • 3 gün önce

New Unsupervised Learning with Joshua Meier @ NeurIPS (Chai Discovery) on how AI x drug discovery is starting to inflect and: - The 3 waves of AI biotech - How AI models think differently than chemists - Building "Photoshop for molecules" - Deciding what to open source

New Unsupervised Learning with Joshua Meier @ NeurIPS (Chai Discovery) on how AI x drug discovery is starting to inflect and: - The 3 waves of AI biotech - How AI models think differently than chemists - Building "Photoshop for molecules" - Deciding what to open source

Jacob Effron

12,351 görüntüleme • 11 ay önce

Introducing Open Lovable v3 - an open source AI design engineer 🔥 Enter a URL and agents will create an on brand clone you can build on top of. Powered by Gemini 3 Pro and 's new branding format. Try out the 100% open source example, link below!

Developers Digest

178,165 görüntüleme • 7 ay önce

We raised $7.5M to kill AI slop. Introducing Moda: the world's first design agent with taste. RT+ comment “Moda” and we’ll design your brand for FREE.

Anvisha

4,518,315 görüntüleme • 3 ay önce

Where's Figma for graphic design? 🤔 Introducing Modyfi, a web-based collaborative image-making platform. Design, iterate, and review in a single place, combining layers, vectors, & bitmaps with AI and non-destructive real-time effects. 👉

Where's Figma for graphic design? 🤔 Introducing Modyfi, a web-based collaborative image-making platform. Design, iterate, and review in a single place, combining layers, vectors, & bitmaps with AI and non-destructive real-time effects. 👉

Alyssa X

232,305 görüntüleme • 2 yıl önce

Molecular design for AI agents: announcing the Tamarind MCP Server. Today, scientists can use the Tamarind Bio library of 250+ molecular design tools(Boltz, AlphaFold, RFdiffusion...) in any AI chat interface. We serve not just open-source models, but the internal protocols your team has onboarded to Tamarind. Any tool added to Tamarind is then available across the MCP server, Tamarind web app, and API, so it can be used in chat-based agents, multi-step pipelines, ELNs, and LIMS-connected workflows. Our goal is simple: make Tamarind the place where scientists can access the BioAI tools they need, wherever they want to work, while we handle the infrastructure. Many users have already incorporated our MCP into their internal AI agents, along with community efforts like Blatant-Why building apps on top of Tamarind. Try out our tooling for antibody design, small molecule virtual screening, developability/ADMET scoring and more!

Molecular design for AI agents: announcing the Tamarind MCP Server. Today, scientists can use the Tamarind Bio library of 250+ molecular design tools(Boltz, AlphaFold, RFdiffusion...) in any AI chat interface. We serve not just open-source models, but the internal protocols your team has onboarded to Tamarind. Any tool added to Tamarind is then available across the MCP server, Tamarind web app, and API, so it can be used in chat-based agents, multi-step pipelines, ELNs, and LIMS-connected workflows. Our goal is simple: make Tamarind the place where scientists can access the BioAI tools they need, wherever they want to work, while we handle the infrastructure. Many users have already incorporated our MCP into their internal AI agents, along with community efforts like Blatant-Why building apps on top of Tamarind. Try out our tooling for antibody design, small molecule virtual screening, developability/ADMET scoring and more!

Deniz Kavi

14,502 görüntüleme • 3 ay önce

“Some of these research problems we’ve been going after really are holy grail predictive problems for drug design - and we’ve made some incredible breakthroughs there, which have really stunned our chemists.” On Sequoia Capital’s Training Data podcast, our Chief AI Officer Max Jaderberg talks about the scale of AI drug discovery and its potential to transform how we design new medicines. Listen to the full podcast at the link below:

“Some of these research problems we’ve been going after really are holy grail predictive problems for drug design - and we’ve made some incredible breakthroughs there, which have really stunned our chemists.” On Sequoia Capital’s Training Data podcast, our Chief AI Officer Max Jaderberg talks about the scale of AI drug discovery and its potential to transform how we design new medicines. Listen to the full podcast at the link below:

Isomorphic Labs

12,294 görüntüleme • 1 yıl önce

“In five years, doing drug design without AI will be like doing science without maths.” Max Jaderberg says the next frontier in drug discovery is collaboration with AI agents. You guide them. They search molecular space and return in hours with what would've taken humans weeks.

“In five years, doing drug design without AI will be like doing science without maths.” Max Jaderberg says the next frontier in drug discovery is collaboration with AI agents. You guide them. They search molecular space and return in hours with what would've taken humans weeks.

vitrupo

156,947 görüntüleme • 1 yıl önce

Fast, iterative product design isn't a pipe dream anymore. Bring your favorite AI agents directly into your canvas. Explore styles in seconds, edit hands-free with your voice, and bridge the gap between design and production instantly.

Fast, iterative product design isn't a pipe dream anymore. Bring your favorite AI agents directly into your canvas. Explore styles in seconds, edit hands-free with your voice, and bridge the gap between design and production instantly.

Mike Diarmid

1,434,508 görüntüleme • 3 ay önce

1) Introducing X1E 🧵 X1E is an AI-native investment agent built on an all-in-one platform to bridge the gap between equities and crypto.

1) Introducing X1E 🧵 X1E is an AI-native investment agent built on an all-in-one platform to bridge the gap between equities and crypto.

X1E

19,657 görüntüleme • 11 ay önce

Introducing Design OS—the missing design process between your idea and codebase. Step 1: Set your product vision Step 2: Design your screens Step 3: Export production-ready components Not mockups. Real components. Ready to build. Free & open source:

Introducing Design OS—the missing design process between your idea and codebase. Step 1: Set your product vision Step 2: Design your screens Step 3: Export production-ready components Not mockups. Real components. Ready to build. Free & open source:

Brian Casel

50,135 görüntüleme • 6 ay önce

🪄 Introducing Visual Copilot! A new era in bridging design to code.

🪄 Introducing Visual Copilot! A new era in bridging design to code.

Vishwas

85,670 görüntüleme • 2 yıl önce

Meet Simplified - Amplify Your Creative Power with Simplified AI Design Explore New Horizons with AI Design. Enhance your creative process and create AI Presentations, AI Carousels, Ad Banners with AI Design tools. Try for free:

Meet Simplified - Amplify Your Creative Power with Simplified AI Design Explore New Horizons with AI Design. Enhance your creative process and create AI Presentations, AI Carousels, Ad Banners with AI Design tools. Try for free:

Farhan

30,109 görüntüleme • 2 yıl önce

Introducing @designsdotAI An AI-powered platform that makes design accessible to everyone. Create a stunning marketing portfolio in under 2 minutes with intuitive tools. Check here:

Introducing @designsdotAI An AI-powered platform that makes design accessible to everyone. Create a stunning marketing portfolio in under 2 minutes with intuitive tools. Check here:

Nelly;

376,434 görüntüleme • 2 yıl önce

Introducing "A Pattern Language for Agentic AI Skill Design."

Introducing "A Pattern Language for Agentic AI Skill Design."

Carlos E. Perez

81,695 görüntüleme • 3 ay önce

Introducing Silico: the platform for building AI models with the precision of written software. Silico lets researchers and engineers see inside their models, debug failures, and intentionally design them from the ground up. Early access is open now. 🧵(1/10)

Introducing Silico: the platform for building AI models with the precision of written software. Silico lets researchers and engineers see inside their models, debug failures, and intentionally design them from the ground up. Early access is open now. 🧵(1/10)

Goodfire

111,376 görüntüleme • 2 ay önce

New open source project: Easel, a macOS workspace for AI-assisted product design and frontend iteration powered by the Codex SDK. Think of it as "Claude Design for Codex." It brings together a local project library, design-system setup, Codex chat, and a live web preview with a point-and-click inspector. Set up your design system however you like. Import one from Figma , bring your own, or have the agent generate it as a design.md. Then use it to build prototypes and slide decks. Codex-first, with Claude and other AI providers and local models planned for future releases. OpenAI Developers

New open source project: Easel, a macOS workspace for AI-assisted product design and frontend iteration powered by the Codex SDK. Think of it as "Claude Design for Codex." It brings together a local project library, design-system setup, Codex chat, and a live web preview with a point-and-click inspector. Set up your design system however you like. Import one from Figma , bring your own, or have the agent generate it as a design.md. Then use it to build prototypes and slide decks. Codex-first, with Claude and other AI providers and local models planned for future releases. OpenAI Developers

James Rochabrun

60,479 görüntüleme • 28 gün önce