Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
ESMFold2 builds upon its predecessor, ESMFold, by establishing a new benchmark in single-sequence structure prediction and facilitating the creation of novel functional proteins via exploration of the latent space within the ESMC model. This advanced model is capable of forecasting high-resolution, all-atom 3D structures of biomolecular complexes straight from the amino acid sequence, and it allows for the incorporation of multiple sequence alignments to improve accuracy on difficult targets. Tailored for predicting structures through both sequence and structure modalities, it employs ESM representations that drive a series of looped folding layers while a diffusion model translates pairwise representations into atomic-resolution outcomes. ESMFold2 excels in predicting protein structures from amino acid sequences, providing detailed structural data, including precise all-atom coordinates for both backbone and side chains, along with confidence metrics and optional distogram predictions for in-depth structural evaluation. Furthermore, its innovative approach enhances the understanding of protein folding dynamics and functional implications, making it a valuable tool for researchers in the field.
Description
Genome Computer allows you to transform your genetic information into a downloadable, AI-compatible .genome bundle that you can store, self-host, and analyze using tools like Genome Intelligence, Codex, Claude Code, Cursor, or others that are compatible. This open format reorganizes the standard data typically found in a VCF into a structured and queryable bundle, with variants neatly arranged in swift columnar tables alongside trait associations, facilitating research and providing insights into gene-level context, polygenic scores, pharmacogenomics, and clear data lineage. Orders for whole-genome sequencing are derived from gVCF data, ensuring that both identified variants and confidently sequenced regions where no variants exist are preserved, with FASTQ files available upon request. Additionally, VCF or TXT files from other providers can be seamlessly converted, imputed where necessary, annotated, scored, and prepared for AI analysis. With Genome Intelligence, users can pose questions based on their specific genetic information, juxtapose new research with their genotypes, and delve deeper into the field of genetics, ultimately enriching their understanding of personal health and ancestry. This capability empowers individuals to take control of their genetic data and engage with it in ways previously not possible.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Biohub
Yes
Claude Code
No
Cursor
No
OpenAI Codex
No
Python
Yes
Integrations
Biohub
No
Claude Code
Yes
Cursor
Yes
OpenAI Codex
Yes
Python
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
$15 per month
Free Trial
No
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
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Biohub
Founded
2016
Country
United States
Website
biohub.ai/models/esmfold2
Vendor Details
Company Name
Genome Computer
Country
United States
Website
genome.computer/