While I was writing my last article on predictive tools and their emerging role in drug development some one posed the question of whether or not these approaches will ever really save money. They found it unlikely that a drug candidate would ever really be shut down just because some model suggests it might have possible side effects. Instead this prediction would just lead to more testing and more spending. Is this true?
More and more predictive tools and computer modeling are becoming a common part of science. Protein structure, pathway interactions and molecule interactions are all being modeled these days. Whole careers are focused on finding ways to make the modeling systems more accurate.
What is the real role of modeling in science? Will we ever be able to wholly replace bench work with computer simulation? Are these tools real value as sign posts-telling us which direction is the best to follow? Or will they forever be relegated to telling us things we already know? Are there any drawbacks to computer modeling?
Let me know what you think.
To read my article on the drug interaction modeling approach of Chemical Systems Biology click here.

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