The Annual Summit on Drug Discovery Chemistry primarily works on the theme “Scientific Congress on pursuit of wisdom in Drug Discovery Chemistry”. The main outcomes of the conference are sharing the insights, experiences and strategies of experts in drug discovery, discover the latest trends in drug chemistry, know the growing demand for drug discovery and pharmaceutical chemistry, find out how progress is being made in scientific formulation in practice and discover the tried and tested bio availability routes.
In 1970-80s, the idea of virtual screening was regarded as a conceptual way to substitute costly and time-consuming experimental “screen-everything-you-have” approaches with a much faster and cheaper predictive modelling to cherry-pick only the best molecules for subsequent synthesis and validation in a lab. A great number of computational tools and approaches emerged, aiming at “pre-screening” new promising molecules, so called “hits”, or augmenting experimental screening programs to optimize efforts.
Artificial intelligence (AI) has become a hot topic in the biopharmaceutical environment and nearly every pharma company in the world has embraced it hoping that it will play a major role in speeding up drug discovery, by reducing R&D costs and avoiding failure in late development stages. According to prospects, AI-driven drug discovery will lead to the development of new and more effective drugs, paving thus the way to personalized medicine.