QED: Speed of drug discovery is very prequisite today to meet the need of new drugs in market with increase in the incidences of diseases and drug resistance strains. Therefore, drug likeness prediction has its own space in drug discovery process. Till date this drug-likeness prediction is only qualitative and all of they are silent on quantitative terms. No methods is available to estimation of drug-likeness on a scale. Recently Bickerton et. al. published an article to answer this long lasting problem. The author used commercial softwares to compute the descriptors. This use of commercial software restrict their approach to apply on other molecules. We computed their descriptors using freely availalbe software Filter-it (www.silicos-it.com) and implemented in the form of webserver to assist scientific commlunity. We hope QED software may be useful in selecting molecules based on their drug likeness.