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What is Recursion?

Recursion is a pioneering TechBio company reimagining drug discovery through the integration of biology, artificial intelligence, and large-scale data. Founded more than ten years ago, Recursion introduced a novel approach that uses cellular imaging to train AI models to understand disease mechanisms. The company’s mission is to reduce the high failure rate of traditional drug development by uncovering deeper biological insights. At the core of its work is the Recursion OS, a drug discovery and development platform that unifies data, machine learning, and automated experimentation. Recursion has built one of the world’s largest proprietary biological and chemical datasets, spanning phenomics, transcriptomics, proteomics, and patient data. Its automated wet labs generate millions of experiments weekly, creating a continuous feedback loop that improves model performance. This system enables rapid identification of new drug targets and optimized molecule design. Recursion’s pipeline includes multiple programs addressing aggressive cancers and rare diseases with significant unmet needs. The company partners with pharmaceutical leaders, computational technology providers, and data innovators to extend its impact. With BioHive-2, a powerful supercomputer built with NVIDIA, Recursion processes massive datasets at unprecedented speed. These capabilities allow the company to move candidates faster from discovery to clinical trials. Overall, Recursion is focused on delivering better medicines to patients through AI-driven precision and scale.

What is ESMC?

ESMC marks the latest innovation in the ESM series of protein language models, advancing the understanding of representation learning in protein biology. By training on an enormous dataset of billions of evolutionary sequences, it effectively captures representations that provide insights into the mechanistic aspects of protein structure and function. Utilizing a transformer architecture, the model prioritizes sequences as its main input and is trained on a dataset that includes up to 6 billion proteins. ESMC is designed for a range of applications within protein science, including structure prediction, functional annotation, protein design, and the investigation of evolutionary relationships among proteins. Furthermore, it has the ability to generate new proteins from partial sequences, structures, or specific functional requirements, which allows researchers to explore novel possibilities in protein design and biological research. The model is readily accessible through the Biohub Platform, enabling users to interact with it via an API and the ESM Python package, which offers quickstart resources for installation, API key generation, and connection to the platform, thus ensuring a user-friendly experience. This ease of access not only promotes wider participation in protein research but also fosters collaborative efforts across the scientific community, ultimately driving further advancements in the field. With its capabilities, ESMC opens new doors for innovation and discovery in protein science.

Media

Media

Integrations Supported

Integrations Supported

Biohub
Python

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Recursion

Company Location

United States

Company Website

www.recursion.com

Company Facts

Organization Name

Biohub

Date Founded

2016

Company Location

United States

Company Website

biohub.ai/models/esmc

Categories and Features

AI Science

Not specified

Drug Discovery

Not specified

Healthcare AI

Not specified

Categories and Features

AI Models

Not specified

AI Science

Not specified

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