Molecule GEN

The process of drug discovery for bringing a new drug from the lab to the market often takes upwards of ten years and costs billions of dollars. The numerous time-consuming, resource-intensive and laborious steps involved in the process, each with very few successes interspersed with many failures, add up to long times and high costs. In silico solutions have been shown to be a promising means for reducing the time and cost of drug discovery. While historically rooted in physics, artificial intelligence and machine learning are poised to magnify the power of in-silico drug discovery solutions drastically.

Due to the diverse and interdisciplinary nature of drug discovery, AI/ML solutions have tended to focus on specialised tasks within the discovery pipeline and have thus remained tools for a select few. A general-purpose drug discovery platform that can be used at various stages in the pipeline and by various scientists with various levels of experience with the use of AI/ML tools will go a long way in making the power of AI/ML accessible to the broader drug discovery community.

With this vision, Molecule AI is designing its broad-based, easy-to-use, web-based drug discovery platform, Molecule GEN. This platform will enable users to perform tasks within the broad domains of hit generation, hit-to-lead, and lead optimisation, both for small molecule drugs as well as therapeutic antibodies. While Molecule GEN comes with cutting-edge AI models and functionality, the state-of-the-art is expected to change rapidly. The modular structure of Molecule GEN will ensure that such changes can be rapidly incorporated. Being a web-based solution, it frees the user from the hassles of setting up and maintaining software and computing resources.

Molecule GEN is poised to democratise access to AI/ML technologies in drug discovery and streamline the development of novel therapeutics. By bridging the gap between complex AI methodologies and practical drug discovery tasks, Molecule AI's platform holds the potential to revolutionise the pharmaceutical industry, ultimately leading to faster, more cost-effective, and impactful advancements in healthcare.

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