Basis International School Guangzhou, Guangzhou, China
Research
Implementation of The Future of Drug Discovery: Quantum-Based Machine Learning Simulation (QMLS)
Author(s): Yew Kee Wong, Yifan Zhou*, Yan Shing Liang, Haichuan Qiu, Yu Xi Wu and Bin He
The Research & Development (R&D) phase of drug development is a lengthy and costly process. To revolutionize this process, we introduce our new concept QMLS to shorten the whole R&D phase to three to six months and decrease the cost to merely fifty to eighty thousand USD. For Hit Generation, Machine Learning Molecule Generation (MLMG) generates possible hits according to the molecular structure of the target protein while the Quantum Simulation (QS) filters molecules from the primary essay based on the reaction and binding effectiveness with the target protein. Then, For Lead Optimization, the resultant molecules generated and filtered from MLMG and QS are compared, and molecules that appear as a result of both processes will be made into dozens of molecular variations through Machine Learning Molecule Variation (MLMV), while others will only be made into a few variations... Read More»