Publications

Learn How We’re Transforming Drug Discovery & Analytics

At MGIntelligence, we are committed to revolutionizing not only drug discovery, but also the drug development and decision-making pipeline through our innovative AI-driven services. Our multifaceted approach merges generative AI, quantum computing, and predictive analytics to address key challenges in modern biopharmaceutical research.

Our work spans from molecule design to clinical outcome modeling, and from omics-based insights to post-marketing surveillance—bridging discovery and analytics under one intelligent platform.

 Featured Publication

   1. Accelerating Drug Discovery Targeting Dihydroorotate Dehydrogenase Using Machine Learning and Generative AI Approaches

      Computational Biology and Chemistry, Volume 118, 2025, 108443

      https://doi.org/10.1016/j.compbiolchem.2025.108443

Publications in Pipeline

    1. Machine Learning and Generative AI in the Rational Design of DNA Gyrase-Targeted Antibacterial

    2. Decoding Glioblastoma Transcriptomics: A Decision Tree Regression Approach to Predicting RPKM from RNA-Seq Datasets

 Reports

1.  Predictive analytics for drug safety:Forecasting serious adverse outcomes using real world datas  Download pdf
2.  Machine Learning based forecasting of study completion in oncology trials   Download pdf