Recently I came across a fantastic article that explored how far ahead Google Maps is compared to Apple Maps, focusing in particular on Areas of Interest (AOI), and how this is achieved with Googles competencies in massive data and massive computation, resulting in a moat. The conclusion is that Google has gathered so much data, […]
Hit Selection When You’re Strapped for Cash
I came across a paper from Chaput et al that describes an approach to hit selection from a virtual screen (using docking), when follow-up resources are limited (a common scenario in many academic labs). Their approach is based on using multiple docking programs. As they (and others) have pointed out, there is a wide divergence […]
I’d Rather Be … Reverse Engineering
Gamification is a hot topic and companies such as Tunedit and Kaggle are succesfully hosting a variety of data mining competitions. These competitions employ data from a variety of domains such as bond trading, essay scoring and so on. Recently, both platforms have hosted a QSAR challenge (though not officially denoted as such). The most […]