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What is SILCS?

Site-Identification by Ligand Competitive Saturation (SILCS) generates three-dimensional representations called FragMaps, which depict the interactions of various chemical functional groups with a designated target molecule. By uncovering the intricacies of molecular dynamics, SILCS provides essential tools that facilitate the refinement of ligand scaffolds, offering both qualitative and quantitative perspectives on binding sites, which ultimately aids in optimizing the drug design workflow. This methodology utilizes a selection of small molecule probes, each possessing a variety of functional groups, along with explicit solvent modeling and the flexibility of the target molecule to effectively map protein targets. Moreover, the technique empowers researchers to visualize beneficial interactions with the target macromolecule, allowing for a more informed design process. Armed with these insights, scientists can strategically engineer enhanced ligands with functional groups positioned for maximum efficacy. The pioneering approach of SILCS marks a noteworthy leap forward in the realm of medicinal chemistry, opening new avenues for drug discovery and development. Through its advanced analytical capabilities, SILCS not only enhances understanding but also drives innovation in therapeutic design.

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

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

SilcsBio

Date Founded

2012

Company Location

United States

Company Website

silcsbio.com/software/

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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