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Average Ratings 0 Ratings
Description
ESMC represents the newest advancement in the ESM series of protein language models, pushing the boundaries of representation learning within the field of protein biology. With training on billions of evolutionary sequences, it adeptly captures representations that encapsulate a mechanistic understanding of protein structure and function. The model utilizes a transformer architecture, focusing on sequences as its primary modality, and is trained on a vast dataset comprising up to 6 billion proteins. ESMC is tailored for various protein science applications, such as predicting structures, annotating functions, designing proteins, and exploring evolutionary connections among proteins. Additionally, it possesses the capability to create novel proteins based on partial sequences, structures, or functional constraints, thereby enabling researchers to investigate innovative avenues in protein design and biological discovery. Accessible through the Biohub Platform, ESMC can be utilized via an API and the ESM Python package, which includes quickstart resources for installation, API key generation, and platform connectivity, ensuring a seamless experience for users. This comprehensive accessibility encourages a broader engagement with protein research and enhances collaborative efforts in the scientific community.
Description
Version 8.0 of PDQuest 2-D analysis software provides a robust and adaptable platform for conducting 2-D gel electrophoresis analysis. Users can opt for PDQuest Basic for straightforward 2-D gel evaluations or PDQuest Advanced to access the most cutting-edge features designed for in-depth expression proteomics research. Regardless of the version selected, the advanced analytical tools effectively highlight subtle variations across different 2-D gels. The software employs powerful auto-matching algorithms that ensure quick and precise gel matching with minimal manual effort. Furthermore, PDQuest's versatile annotation capabilities make it an invaluable asset for creating a centralized database, enabling a wide array of characterization data to be associated with each spot on a master gel image. Sharing and reviewing information related to identified proteins is made simple and efficient. Additionally, the software offers adaptable spot cutting configurations that enhance accuracy, throughput, and flexibility in protein identification trials, making it an essential tool for researchers in the field.
API Access
Has API
API Access
Has API
Integrations
Biohub
Python
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Biohub
Founded
2016
Country
United States
Website
biohub.ai/models/esmc
Vendor Details
Company Name
Bio-Rad Laboratories
Country
United States
Website
www.bio-rad.com
Product Features
Product Features
Medical Imaging
Automated Routing
Comparison View
Compliance Management
Data Import / Export
Diagnostic Reporting
Image Analytics
Treatment Planning
Workflow Management
PACS
Comparison View
Data Compression
Diagnostic Reporting
HL7 Support
Image Management
Mobile Access
Non-DICOM Imaging Support
Patient Portal
Referring Physician Portal
Voice Recognition
Radiology
Audit Trail
Billing & Invoicing
Claims Management
EDI
EMR HL7 Bridge
Image Fusion
PACS Integration
Patient Scheduling
Scanning Input
Teleradiology
Wait List Management