SMAG can generate novel molecules for any target, instead of screening the chemical space
Our mission is to empower researchers and pharmaceutical innovators with precise, efficient, and scalable tools to accelerate the identification of novel compounds and therapeutic solutions. By combining patented algorithms with advanced artificial intelligence, we unlock unprecedented opportunities for breakthroughs in drug design and development.
This includes Data Generation, QSAR, Toxicity Prediction, Retrosynthesis, and Drug Repurposing, designed to revolutionize molecular research across diverse industries. From utilizing Graph Transformers for designing molecules with superior novelty and uniqueness to deploying cutting-edge predictive models for toxicity and retrosynthesis, our technology consistently outperforms the competition
Through proprietary datasets and advanced processing, SMAG ensures results that lead to impactful discoveries.
The purpose of the Molecule Generation model is to revolutionize the process of molecular design and discovery using advanced deep learning techniques.
SMAG can generate novel molecules for any target, instead of screening the chemical space
Shortlisting the hit molecules with data-centric method
Predicting the toxicity based on the computational model built on commercial data.
Score Predicting the ADME properties and Toxicity based on the AI models
Streamline drug discovery with AI-driven tools that accelerate molecular design and analysis.
Achieve precise molecular predictions with our advanced AI algorithms and proprietary datasets.
Reduce research costs with scalable AI tools that optimize molecule generation and testing.
Adapt to diverse research needs with our versatile AI platform for customized molecular solutions.
Unlock powerful insights with predictive models that forecast molecular behavior and outcomes.
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