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What is Promethium?

Promethium stands out as a cutting-edge platform for simulating chemical processes, leveraging GPU technology to greatly enhance the efficiency and accuracy of quantum chemistry calculations, thus accelerating drug and material development. Specifically designed for NVIDIA's data center GPUs, including models like the A100, it employs sophisticated QC Ware streaming algorithms that yield exceptional computational speed and notable power efficiency. The platform's capabilities allow it to conduct density functional theory (DFT) calculations on molecular systems with up to 2,000 atoms, facilitating the simulation of extensive molecular structures that traditional CPU-based ab initio techniques struggle to manage. For instance, it can perform a single-point calculation for a protein consisting of 2,056 atoms in a mere 14 hours using just one GPU. Promethium offers a wide range of features, such as single-point energy assessments, geometry optimization, conformer exploration, torsion scanning, reaction path refinement, transition state optimization, interaction energy calculations, and relaxed potential energy surface investigations. This extensive functionality positions Promethium as an invaluable asset for chemists eager to explore the frontiers of molecular modeling and simulation, thereby paving the way for new discoveries in the field. Ultimately, the transformative potential of Promethium is poised to redefine the realm of computational chemistry, making it an essential tool for researchers.

What is Gritstone?

At the core of our immunotherapy strategy is our deep understanding of antigens and neoantigens, especially when it comes to pinpointing which variations will be transcribed, translated, processed, and ultimately presented on cell surfaces through Human leukocyte antigen (HLA) molecules, making them identifiable to T cells. We utilize Gritstone EDGETM, an innovative platform that leverages machine learning to facilitate this process. The development of cancer immunotherapies that target tumor-specific neoantigens is particularly challenging due to the multitude of mutations present in tumors, where only a select few translate into true tumor-specific neoantigens. To address this intricate issue, we have engineered EDGE's advanced integrated neural network model, which has been trained on millions of data points sourced from a wide array of tumor and normal tissue samples derived from various patient backgrounds. This comprehensive training significantly boosts our ability to accurately identify neoantigens and enhances the overall effectiveness of our immunotherapy approaches, ultimately aiming to provide more targeted and effective treatments for patients. By continually refining our methods and expanding our databases, we strive to stay at the forefront of cancer immunotherapy advancements.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
NVIDIA DRIVE
Python

Integrations Supported

Amazon Web Services (AWS)
NVIDIA DRIVE
Python

API Availability

Has API

API Availability

Has API

Pricing Information

$30 per hour
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Promethium

Company Location

United States

Company Website

www.promethium.qcware.com

Company Facts

Organization Name

Gritstone bio

Date Founded

2015

Company Location

United States

Company Website

gritstonebio.com/scientific-platform/

Categories and Features

Categories and Features

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