What is the difference between AlphaFold and Isomorphic Labs' technology?

AlphaFold predicts static protein structures. Isomorphic Labs' tech, like their Drug Design Engine, is generative and predictive for dynamics, interactions, and novel molecule design.

How can my organization partner with or work with Isomorphic Labs?

Partnerships and collaborations are pursued through their dedicated business channels. You would need to contact them via their partnership inquiry forms.

Are Isomorphic Labs' models open source?

No. Their core models and the Drug Design Engine are proprietary. Some related work from sister organization DeepMind may be open source, but Iso's primary tools are closed.

What stage of drug discovery does their AI primarily target?

They focus on the early stages: target discovery, hit identification, and lead optimization, aiming to make this computationally intensive phase faster and more accurate.

Directory/Search/AI for Science/Isomorphic Labs

Isomorphic Labs

Isomorphic Labs is a drug discovery lab built on and beyond the Nobel-winning AlphaFold system. It develops powerful new predictive and generative AI models to accelerate scientific discovery at digital speed, with the ultimate mission to solve all diseases. Founded by Demis Hassabis, the company leverages an interdisciplinary team of drug discovery experts and machine learning specialists to model complex biological phenomena, design novel molecules, and anticipate drug performance. Its core technology is the Isomorphic Labs Drug Design Engine.

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Added on

Sep 22, 2026

Drug discovery AIAlphaFold successorMolecular designProtein structure predictionBiotech research

Product information

Everything worth knowing about Isomorphic Labs

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

AI-Powered Drug Discovery

Uses frontier AI models to accelerate scientific discovery and unlock deeper biological insights for developing new medicines.

Predictive & Generative AI Models

Employs powerful new models to design novel molecules, anticipate drug performance, and accelerate research at digital speed.

Advanced Protein Structure Prediction

Builds upon and extends the capabilities of the Nobel-winning AlphaFold system for understanding complex biological structures.

Digital Biology Integration

Aims to harness the promise of digital biology by modeling complex biological phenomena with AI for disease treatment.

Technical capabilities

Drug Design Engine

A proprietary platform that unlocks a new frontier beyond AlphaFold for molecular design and drug candidate generation.

Interdisciplinary Team & Partnerships

Leverages a combined expertise of drug discovery scientists and machine learning specialists, often working via partnerships.

Must watch videos

A quest for a cure: AI drug design | Isomorphic Labs

47:08

Tutorial47:08

A quest for a cure: AI drug design | Isomorphic Labs

In this episode, host Hannah Fry is joined by Max Jaderberg and Rebecca Paul of Isomorphic Labs to explore the future of drug discovery in the age of AI. They discuss how new technology, particularly AlphaFold 3, is revolutionizing the field by predicting the structure of life’s molecules, paving the way for faster and more efficient drug discovery. They dig into the immense complexities of designing new drugs: How do you find the right molecular key for the right biological lock? How can AI help scientists understand disease better and overcome challenges like drug toxicity? And what about the diseases that are currently considered “undruggable”? Finally, they explore the ultimate impact of this technology, from the future of personalized medicine to the ambitious goal of being able to eventually design treatments for all diseases. Further reading: AlphaFold 3: https://www.nature.com/articles/s41586-024-07487-w AlphaFold Server: https://alphafoldserver.com/ Isomorphic Labs: https://www.isomorphiclabs.com/ AlphaFold 3 code and weights: https://github.com/google-deepmind/alphafold3 Timecodes: 00:00 Intro 02:11 AI & Disease 05:30 AI in Biology 06:51 Molecules and Proteins 12:05 AlphaFold 3 14:40 Demo 16:20 Human-AI collaboration 24:30 Drug Design Challenges 39:00 Beyond Animal Models 44:35 AI Drug Future 46:30 Outro ___ Thanks to everyone who made this possible, including but not limited to: Presenter: Professor Hannah Fry Series Producer: Dan Hardoon Editor: Rami Tzabar Commissioner & Producer: Emma Yousif Music composition: Eleni Shaw Audio engineer: Richard Courtice Production Manager: Dan Lazard Studio Manager: Nicholas Duke Video Director: Bernardo Resende Video Editor: Bilal Merhi Audio Engineer: Perry Rogantin Camera and Lighting Operator: Robert Messere Production Coordination: Zoey Roberts, Sarah Ellen Morton Visual Identity and Design: Rob Ashley Commissioned by Google DeepMind ___ Subscribe to our channel https://www.youtube.com/@googledeepmind Find us on X https://twitter.com/GoogleDeepMind Follow us on Instagram https://instagram.com/googledeepmind Add us on Linkedin https://www.linkedin.com/company/deepmind/

Isomorphic Labs is using Google Cloud’s AI Hypercomputer to reimagine drug discovery

2:05

Tutorial2:05

Isomorphic Labs is using Google Cloud’s AI Hypercomputer to reimagine drug discovery

Isomorphic Labs has built and is continually developing a state-of-the-art drug design engine, unifying multiple powerful search-based and generative AI models - and they're doing it all on Google Cloud. Learn how they're using AI Hypercomputer, to manage a fleet of TPUs and GPUs, orchestrated with Google Kubernetes Engine to speed up inference workloads by up to 50%.

Reshaping Drug Discovery with AI | James Kirkpatrick, Isomorphic Labs

14:24

Tutorial14:24

Reshaping Drug Discovery with AI | James Kirkpatrick, Isomorphic Labs

🟣 AMLD Intelligence Summit 2026 www.appliedmldays.org

Who uses it

Real use cases, no hype

Novel Drug Target Identification

Using AI to analyze biological data and propose new therapeutic targets for diseases.

De Novo Molecule Generation

Designing entirely new molecular structures with desired properties from scratch.

Predicting Drug-Protein Interactions

Modeling how potential drug molecules bind to specific protein targets.

Optimizing Lead Compounds

Improving the efficacy, safety, and drug-like properties of initial molecular candidates.

Accelerating Clinical Candidate Selection

Using AI predictions to prioritize which molecules to advance into costly lab and clinical trials.

Bioresilience Planning

Developing strategies and countermeasures against biological threats using computational modeling.

What's great

Leverages foundational AlphaFold technology for protein structure prediction.
Backed by top-tier AI talent and leadership from Demis Hassabis.
Focuses on novel, generative AI models for molecular design.
Strong interdisciplinary team bridging ML and drug discovery expertise.

Technical strengths

Series B funding provides significant resources for R&D scaling.
Integrates proprietary Drug Design Engine beyond standard AlphaFold.
Aims for end-to-end AI-driven pipeline from target to candidate.

Where it falls short

No public product or API available for developer access.
Operates as a closed, B2B-focused research lab.
Mission to 'solve all disease' sets unrealistic expectations.
Partnerships are required to access any tooling.

Technical limitations

Limited public documentation on specific model architectures.
Proprietary tech makes independent validation difficult.
Unclear how models handle non-protein targets like small molecules.

For technical folks

The deep-dive specs

FAQ

Includes technical Q&A

No. Isomorphic Labs does not offer a public API or product. They operate as a research and drug discovery company, engaging through partnerships or employment.

Traffic Insights

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Stable

Traffic has remained stable.

Pricing overview

Paid Pricing

Isomorphic Labs Pricing

Isomorphic Labs uses a paid pricing structure. Real-time rates, custom enterprise quotas, and plan details are managed directly on their official platform.

Check Pricing on Isomorphic Labs

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