Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Evo 2 represents a cutting-edge genomic foundation model that excels in making predictions and designing tasks related to DNA, RNA, and proteins. It employs an advanced deep learning architecture that allows for the modeling of biological sequences with single-nucleotide accuracy, achieving impressive scaling of both compute and memory resources as the context length increases. With a robust training of 40 billion parameters and a context length of 1 megabase, Evo 2 has analyzed over 9 trillion nucleotides sourced from a variety of eukaryotic and prokaryotic genomes. This extensive dataset facilitates Evo 2's ability to conduct zero-shot function predictions across various biological types, including DNA, RNA, and proteins, while also being capable of generating innovative sequences that maintain a plausible genomic structure. The model's versatility has been showcased through its effectiveness in designing operational CRISPR systems and in the identification of mutations that could lead to diseases in human genes. Furthermore, Evo 2 is available to the public on Arc's GitHub repository, and it is also incorporated into the NVIDIA BioNeMo framework, enhancing its accessibility for researchers and developers alike. Its integration into existing platforms signifies a major step forward for genomic modeling and analysis.
Description
alvaModel is an advanced software application designed for the construction, validation, comparison, and implementation of QSAR and QSPR models. It excels in supporting both regression and classification tasks through the use of molecular descriptors and fingerprints, emphasizing transparency, interpretability, and scientific rigor in its models.
This software offers a variety of data splitting techniques, variable selection approaches, and modeling algorithms, as well as thorough internal and external validation methods. Additionally, alvaModel includes diagnostic visualizations, applicability domain evaluations, and tools for model comparison, which aid users in pinpointing reliable and predictive modeling solutions.
Crafted in accordance with the highest standards of chemometrics, alvaModel promotes the creation of interpretable models that align with OECD guidelines for QSAR validation, making it ideal for both research and regulatory uses. Its user-friendly graphical interface walks users through the entire modeling process while providing comprehensive control over every aspect of the modeling journey, ensuring a seamless experience. Ultimately, alvaModel stands out as a valuable asset for chemists and researchers aiming to enhance their modeling capabilities.
API Access
Has API
No
API Access
Has API
No
Integrations
Evo Designer
Yes
GitHub
Yes
Hugging Face
Yes
NVIDIA BioNeMo
Yes
alvaBuilder
No
alvaDesc
No
Integrations
Evo Designer
No
GitHub
No
Hugging Face
No
NVIDIA BioNeMo
No
alvaBuilder
Yes
alvaDesc
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Arc Institute
Country
United States
Website
arcinstitute.org/tools/evo
Vendor Details
Company Name
Alvascience
Founded
2018
Country
Italy
Website
www.alvascience.com