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What is ESMFold2?

Building upon its predecessor, ESMFold, ESMFold2 sets a new standard in the realm of single-sequence structure prediction while also enabling the design of novel functional proteins by delving into the latent space of the ESMC model. This sophisticated model can accurately predict high-resolution, all-atom 3D structures of biomolecular complexes directly from amino acid sequences and incorporates multiple sequence alignments to enhance accuracy for challenging targets. Designed to predict structures using both sequence and structural modalities, it utilizes ESM representations that power a sequence of looped folding layers, while a diffusion model converts pairwise representations into atomic-resolution results. ESMFold2 stands out in its ability to forecast protein structures from amino acid sequences, providing comprehensive structural information, including exact all-atom coordinates for backbone and side chains, as well as confidence metrics and optional distogram predictions for thorough structural analysis. In addition, its groundbreaking methodology deepens the understanding of protein folding dynamics and their functional implications, positioning it as an indispensable tool for researchers engaging in this area of study. Ultimately, ESMFold2 not only advances structural biology but also opens new avenues for the development of protein-based applications.

What is Differential Bio?

Differential Bio is a cutting-edge virtual platform aimed at improving bioprocess optimization by enhancing the predictability, scalability, and cost-effectiveness of microbial growth through the use of robotic lab automation and AI-driven insights. The journey begins with automated, high-throughput experiments that simulate large-scale stress conditions in microliter volumes, generating valuable wet-lab data through techniques in liquid handling, fermentation, and measurement. Custom AI algorithms meticulously analyze this information to predict various outcomes such as biomass growth, protein synthesis, cell viability, titer, production rates, yields, and cost implications. Accessible via a web-based interface, users can define their optimization goals and parameter thresholds, carry out unlimited in-silico simulations, assess the outcomes of simulated fermentation processes, engage in multi-objective optimization, and determine the best conditions for scaling production. This holistic methodology not only optimizes the workflow but also equips teams with the ability to make informed, data-driven decisions in the realm of bioprocess development, thereby promoting innovation and efficiency in the field. By integrating advanced technologies, Differential Bio sets a new standard for the future of bioprocessing.

Media

Media

Integrations Supported

Biohub
Python

Integrations Supported

Biohub
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Biohub

Date Founded

2016

Company Location

United States

Company Website

biohub.ai/models/esmfold2

Company Facts

Organization Name

Differential Bio

Company Location

Germany

Company Website

www.differential.bio/

Categories and Features

Categories and Features

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