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What is Genedata Biologics?

Genedata Biologics® significantly advances the creation of biotherapeutics such as bispecifics, ADCs, TCRs, CAR-Ts, and AAVs, offering an all-encompassing solution for the sector. Esteemed as a premier platform in its domain, it seamlessly integrates all discovery processes, empowering researchers to focus on true innovation. By employing a cutting-edge system specifically designed to digitize the biotherapeutic discovery journey, research timelines can be notably expedited. This platform streamlines complex R&D activities by aiding in the design, tracking, testing, and evaluation of new biotherapeutic entities. It accommodates a variety of formats, including antibodies, bi- or multi-specifics, ADCs, novel scaffolds, and therapeutic proteins, along with engineered therapeutic cell lines like TCRs and CAR-T cells. As a fully integrated data backbone, Genedata Biologics links all R&D activities, from library design and immunization to selection and panning, molecular biology, screening, protein engineering, expression, purification, and analytics, resulting in thorough evaluations of candidate developability and manufacturability. This comprehensive integration not only enables researchers to make well-informed choices but also fosters a culture of exploration and advancement in biotherapeutic innovation. Ultimately, the synergy of these capabilities positions Genedata Biologics as a vital asset in the competitive landscape of biopharmaceutical development.

What is Evo 2?

Evo 2 is an advanced genomic foundation model that excels in predicting and creating tasks associated with DNA, RNA, and proteins. Utilizing a sophisticated deep learning architecture, it models biological sequences with precision down to single-nucleotide accuracy, demonstrating remarkable scalability in both computational and memory resources as context length expands. The model has been trained on an impressive 40 billion parameters and can handle a context length of 1 megabase, analyzing an immense dataset of over 9 trillion nucleotides derived from diverse eukaryotic and prokaryotic genomes. This extensive training enables Evo 2 to perform zero-shot function predictions across a range of biological types, including DNA, RNA, and proteins, while also generating novel sequences that adhere to plausible genomic frameworks. Its robust capabilities have been highlighted in applications such as the design of efficient CRISPR systems and the identification of potentially disease-causing mutations in human genes. Additionally, Evo 2 is accessible to the public via Arc's GitHub repository and is integrated into the NVIDIA BioNeMo framework, which significantly enhances its availability to researchers and developers. This integration not only broadens the model's reach but also represents a pivotal advancement in the fields of genomic modeling and analysis, paving the way for future innovations in biotechnology.

Media

Media

Integrations Supported

Evo Designer
GitHub
Hugging Face
NVIDIA BioNeMo

Integrations Supported

Evo Designer
GitHub
Hugging Face
NVIDIA BioNeMo

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

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

Genedata

Date Founded

1997

Company Location

Switzerland

Company Website

www.genedata.com/products-services/biologics

Company Facts

Organization Name

Arc Institute

Company Location

United States

Company Website

arcinstitute.org/tools/evo

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