If you're looking for a technology to help researchers find and develop new treatments for serious diseases by exploring previously unknown chemical compounds, Genesis Therapeutics is a standout option. Their GEMS platform combines deep learning and molecular simulations to predict properties and generate molecules, making it easier to design high-potency and selective small molecule drugs. The platform's proprietary technologies, including Dynamic PotentialNet and 3D binding dynamics, have shown promising results in predicting ADMET properties and collaborating with leading pharmaceutical companies and academic labs.
Another useful tool is BenchSci's ASCEND platform, an AI-powered information retrieval system designed to accelerate drug discovery and complex research workflows. It offers a broad data foundation and biology-specific multimodal AI that can interpret experiments from text and figures. This platform is particularly beneficial for pharmaceutical and biotech R&D organizations, helping to improve the speed and quality of life-saving research by tackling the top reasons drug discovery projects fail.
For those seeking a no-code solution, Nextnet provides a cloud-based information retrieval system that helps scientists and researchers discover hidden connections and generate hypotheses. It integrates and organizes global biomedical knowledge, enabling semantic searches and the discovery of concepts extracted from scientific literature and molecular databases. This platform is ideal for integrating and contextualizing knowledge from disparate data sources, accelerating discovery and R&D.
Lastly, JADBio offers a no-code machine learning platform for automating biomarker discovery and interpretation. It can handle multi-omics data and is geared for researchers investigating various conditions, including cancer, immune systems, and metabolic diseases. JADBio's features like AutoML, feature interpretation, and model tuning make it a versatile tool for speeding up drug discovery and improving treatment outcomes.