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
ResoluteAI offers a secure platform that allows users to simultaneously search through a variety of aggregated scientific, regulatory, and business databases. The platform's interactive analytics and downloadable visualizations enable users to forge connections that may lead to significant breakthroughs. Nebula, which is ResoluteAI's enterprise search solution tailored for the scientific community, leverages structured metadata alongside a suite of AI tools that enhance your institutional knowledge. This sophisticated approach incorporates various technologies such as natural language processing, optical character recognition, image recognition, and transcription, making it easier to locate and access proprietary information. With Nebula, researchers have the capability to reveal the latent value within their studies, experiments, market intelligence, and acquired assets. By utilizing structured metadata derived from unstructured text, users benefit from features like semantic expansion, conceptual search, and document similarity search, ensuring a comprehensive exploration of their data. This innovative platform transforms the way scientific data is accessed and utilized, paving the way for enhanced research outcomes.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Biohub
No
Python
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
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)
Yes
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
ResoluteAI
Founded
2015
Country
United States
Website
www.resolute.ai/
Product Features
Product Features
Data Discovery
Contextual Search
No
Data Classification
No
Data Matching
No
False Positives Reduction
No
Self Service Data Preparation
No
Sensitive Data Identification
No
Visual Analytics
No
Market Research
Benchmarking
No
Compensation Management
No
Data Management
No
Email / Online
No
Face-to-Face
No
Panel Management
No
Paper-Based
No
Phone-Based
No
Sample Management
No
Statistical Analysis
No
Survey Management
No
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
No
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
No
Part-of-Speech Tagging
No
Sentence Segmentation
No
Stemming/Lemmatization
No
Tokenization
No