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What is SpliceCore?
Utilizing RNA sequencing (RNA-seq) data in conjunction with Artificial Intelligence offers both an essential need and a remarkable opportunity for developing therapies that target splicing errors. By harnessing machine learning techniques, we can identify new splicing errors and promptly create therapeutic compounds to rectify these issues. Our specialized AI platform, SpliceCore, is dedicated to the discovery of RNA-based therapeutics. This advanced technology excels in analyzing RNA sequencing data with exceptional speed and accuracy. It effectively identifies, assesses, and confirms potential drug targets, surpassing conventional methods in efficiency. A key feature of SpliceCore is our proprietary database, which houses over 5 million potential RNA splicing errors, making it the largest resource of its type worldwide and vital for evaluating any RNA sequencing dataset submitted for analysis. The incorporation of scalable cloud computing enables us to manage extensive RNA sequencing data efficiently and economically, thereby accelerating the development of new therapies. This groundbreaking strategy is set to transform the field of RNA therapeutics, paving the way for unprecedented advancements in treatment options. As we move forward, the potential for discovery in this domain continues to expand, promising a future filled with innovative solutions.
What is Iktos?
Makya emerges as a groundbreaking user-focused SaaS platform specifically tailored for AI-driven de novo drug design, with a particular focus on Multi-Parametric Optimization (MPO). This cutting-edge tool enables users to generate original and easily synthesizable compounds through a multi-objective framework, achieving unparalleled speed, efficiency, and diversity in results. Featuring a variety of generative algorithms that cater to different phases of drug development—from hit discovery to lead optimization—Makya includes a fine-tuning generator for identifying optimal solutions within your defined chemical space, a novelty generator aimed at uncovering new ideas for re-scaffolding and hit identification, and a forward generator that assembles a specialized library of compounds ready for synthesis using commercially accessible starting materials. The platform's latest addition, the Makya 3D module, markedly enhances both the user experience and scientific functionality. With an extensive toolkit of 3D modeling capabilities for both ligand-based and structure-based methodologies, Makya 3D facilitates the computation of 3D scores that can be effortlessly integrated to steer compound generation within the platform. This comprehensive integration not only refines the design workflow but also provides researchers with profound insights into their molecular architectures, ultimately transforming the drug discovery landscape. As researchers increasingly seek innovative solutions, Makya stands at the forefront, revolutionizing the way compounds are designed and developed.
Integrations Supported
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Python
Integrations Supported
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Python
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
Envisagenics
Date Founded
2014
Company Location
United States
Company Website
www.envisagenics.com/platform/
Company Facts
Organization Name
Iktos
Company Location
France
Company Website
iktos.ai/makya/