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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.

What is NVIDIA BioNeMo?

BioNeMo is a cloud-based platform designed for drug discovery that harnesses artificial intelligence and employs NVIDIA NeMo Megatron to enable the training and deployment of large biomolecular transformer models at an impressive scale. This service provides users with access to pre-trained large language models (LLMs) and supports multiple file formats pertinent to proteins, DNA, RNA, and chemistry, while also offering data loaders for SMILES to represent molecular structures and FASTA for sequences of amino acids and nucleotides. In addition, users have the flexibility to download the BioNeMo framework for local execution on their own machines. Among the notable models available are ESM-1, which is based on Meta AI’s state-of-the-art ESM-1b, and ProtT5, both fine-tuned transformer models aimed at protein language tasks that assist in generating learned embeddings for predicting protein structures and properties. Furthermore, the platform will incorporate OpenFold, an innovative deep learning model specifically focused on forecasting the 3D structures of new protein sequences, which significantly boosts its capabilities in biomolecular exploration. Overall, this extensive array of tools establishes BioNeMo as an invaluable asset for researchers navigating the complexities of drug discovery in modern science. As such, BioNeMo not only streamlines research processes but also empowers scientists to make significant advancements in the field.

Media

Media

Integrations Supported

Integrations Supported

Evo 2
NVIDIA AI Foundations
NVIDIA Clara
NVIDIA NeMo Megatron

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Differential Bio

Company Location

Germany

Company Website

www.differential.bio/

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

www.nvidia.com/en-us/gpu-cloud/bionemo/

Categories and Features

AI Science

Not specified

Categories and Features

AI Science

Not specified

Drug Discovery

Not specified

Healthcare AI

Not specified

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