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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

KEEL (Knowledge Extraction based on Evolutionary Learning) is a Java-based open-source software tool licensed under GPLv3 that facilitates a diverse array of knowledge data discovery tasks. Featuring an intuitive graphical user interface that emphasizes data flow, KEEL enables users to design experiments incorporating various datasets and computational intelligence algorithms, with a particular focus on evolutionary algorithms, to evaluate their effectiveness. The software encompasses an extensive range of traditional knowledge extraction techniques, data preprocessing methods—including training set selection, feature selection, discretization, and imputation for missing values—as well as computational intelligence learning algorithms, hybrid models, and statistical methods for experiment comparison. This comprehensive suite allows researchers to conduct thorough analyses of innovative computational intelligence approaches in relation to established methods. Furthermore, KEEL has been specifically crafted to serve dual purposes: advancing research and enhancing educational outcomes in the field. Its versatility makes it an invaluable resource for both academic and practical applications in knowledge discovery.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Biohub
Python

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

Keel

Website

www.keel.es/

Product Features

Product Features

Data Mining

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

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