As algorithms evolve, computing power explodes, and scientists solve a greater number of 3-D protein structures, computer-aided design has the potential to dramatically cut the cost and time of drug discovery
How errors in data, software, and methodology can teach us how to do better
A recognition of biocomputing's successes and a prediction of what's to come
What do game developers bring to the table?
Connectivity Map helps connect drugs and diseases
Disentangling the different types of skeptics and what modelers can learn from each.
Modeling tumors' diversity