A Landscape of Artificial Intelligence (AI) In Pharmaceutical R&D

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Chemspace collaborates with ChemAlive

   by Kateryna Shtereverya    318
Chemspace collaborates  with ChemAlive

Chemspace and ChemAlive (the largest repository of quantum chemical data, a Contract Research Company that develops software products to obtain accurate and reliable data on molecular properties, synthetic reactions, verification of molecules using quantum chemistry), announced the launch of the collaboration to provide accurate molecular structural information about commercial small molecules.

Annual Summit on Drug Discovery Chemistry

   by BiopharmaTrend    569
Annual Summit on Drug Discovery Chemistry

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.

Confluence of Technologies Can Bring “Virtual Pharmacology” to the Next Level

   by Andrii Buvailo    3090
Confluence of Technologies Can Bring “Virtual Pharmacology” to the Next Level

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 For Drug Discovery Use Cases At Mind the Byte

   by David Vidal    3455
Artificial Intelligence For Drug Discovery Use Cases At Mind the Byte

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.