Modern drug discovery and development is a complicated process, which costs about $2-3 billion and lasts for 12 years on average. How to decrease the costs and speed up the process is the challenge. Computational biology and Artificial Intelligence, combined with new technologies in experimental drug screening, are expected to make the hunt for new drugs quicker, cheaper and more efficient.
Our team has established a sophisticated computer-aided drug discovery platform, which combines Artificial Intelligence, WebGL, cloud computing and big data. It can perform a wide range of drug discovery tasks such as molecular generation, virtual screening, lead optimization, drug property optimization, molecular dynamics simulation, accurate binding energy prediction and others. We have applied our tools successfully to discover and design potent drug candidates for various targets.
Members of our team have the experience of advancing designed molecules into clinical trials. More recently, we discovered a series of potent compounds for different orphan receptors. These compounds could result in "me-only" drug candidates.