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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
MEGA, which stands for Molecular Evolutionary Genetics Analysis, is an intuitive and highly capable software suite tailored for examining DNA and protein sequence information from various species and populations. It allows for both automated and manual alignment of sequences, the construction of phylogenetic trees, and the testing of evolutionary theories. The software employs an array of statistical approaches such as maximum likelihood, Bayesian inference, and ordinary least squares, making it indispensable for comparative sequence analysis and insights into molecular evolution. Additionally, MEGA includes sophisticated functionalities like real-time caption generation to clarify the findings and methodologies applied during analysis, alongside the maximum composite likelihood method for calculating evolutionary distances. The program is enhanced with powerful visual aids, including an alignment/trace editor and a tree explorer, while also supporting multi-threading to optimize processing efficiency. Furthermore, MEGA is compatible with several operating systems, such as Windows, Linux, and macOS, ensuring accessibility for a diverse user base. In summary, MEGA stands out as a comprehensive tool for researchers delving into the intricacies of molecular genetics.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Biohub
No
Python
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
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
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Biohub
Founded
2016
Country
United States
Website
biohub.ai/models/esmc
Vendor Details
Company Name
MEGA
Country
United States
Website
www.megasoftware.net