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Description
Profluent's innovative platform transforms the field of protein design by seamlessly combining cutting-edge AI technology with its own experimental capabilities, allowing for the development of proteins that are either inspired by nature or entirely newly conceived. This comprehensive methodology provides precise, flexible, and scalable solutions to intricate biological problems, resulting in advancements that push the boundaries of protein functionality. Profluent's foundational models extend protein design beyond the constraints of traditional random approaches, enabling the simultaneous optimization of various characteristics, enhancing sequence diversity, and unlocking new functionalities. By venturing into unexplored protein territories, Profluent presents distinctive opportunities that surpass the limitations of natural or patented proteins, streamlining the process for partners to achieve commercial viability in a more cost-effective and accessible manner. Underpinning Profluent's capabilities is a strong dedication to scientific excellence, utilizing a wide range of datasets and advanced AI techniques to address complex challenges effectively. As a result, Profluent not only advances protein engineering but also sets a new standard in the industry, fostering innovative collaborations and breakthroughs.
Description
Site-Identification by Ligand Competitive Saturation (SILCS) produces three-dimensional maps, known as FragMaps, that illustrate how different chemical functional groups interact with a specific target molecule. By revealing the complexities of molecular dynamics, SILCS offers tools that enhance the optimization of ligand scaffolds through both qualitative and quantitative insights into binding pockets, thereby streamlining the drug design process. This approach employs a range of small molecule probes, each featuring diverse functional groups, alongside explicit solvent modeling and accommodating the flexibility of the target molecule to effectively map protein targets. Furthermore, the technique allows researchers to visualize advantageous interactions with the target macromolecule. With these insights, scientists can strategically design improved ligands with functional groups situated in optimal positions for enhanced efficacy. The innovative nature of SILCS represents a significant advancement in the field of medicinal chemistry.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
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
Profluent
Founded
2022
Country
United States
Website
www.profluent.bio/platform
Vendor Details
Company Name
SilcsBio
Founded
2012
Country
United States
Website
silcsbio.com/software/
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)