At J-STAR Research, our Computational Chemistry and Data Science capabilities combine advanced computational methods with experimental approaches to accelerate and optimize drug development processes. From predicting molecular properties to navigating the complexities of pharmaceutical process development, our expertise spans a diverse range of applications designed to reduce risks, save time, and cut costs in the pharmaceutical pipeline.
Our specialized capabilities include molecular property prediction, computational modeling, and AI/ML-driven data analysis. These methods provide unparalleled insights into reaction kinetics, solid form screening, and impurity rejection, while tools like Gaussian 16 and CASTEP enable precise molecular simulations. Explore our services to see how our integrated computational and experimental strategies can transform your pharmaceutical projects.
Predicting Molecular Properties via Computational Chemistry
