Tuesday, February 28, 2012

Here are my funded grant proposals

There he writes:
Mathematics and Science is a communal enterprise, and it is very important that people share their ideas. Unfortunately, it is very hard to get the big picture. The number of good expository articles is, unfortunately, very small. (People who write them should be rewarded! A good expository article is worth one thousand mediocre (and even good) technical papers.)

People are at their expository best when they are begging for money, and in the case of mathematicians and scientists, this means writing a grant proposal. The scientific community would benefit a lot if people would publicly post their funded grants, and be generous with their ideas.
The man is right.  So, without further ado*, here are my (i.e. where I was PI) funded proposals:**

2010 Protein Design Using Quantum Mechanics (Danish Center for Supercomputing)

2008 Computational Design of Stable Enzymes (Danish National Science Foundation, DSF-NABIIT)

2006 Modeling pH-Dependence in Drug Design (EU Marie Curie Program)

2006 Computational Prediction and Validation of Protein Structure and Function in Protein Engineering and Rational Drug Design (Danish National Science Foundation, FNU)

2006 Prediction and Interpretation of Protein pKa’s Using QM/MM (US National Science Foundation - MCB; rescinded when I moved to Denmark)

2002 The Prediction and Interpretation of Protein pKa’s Using QM/MM (US National Science Foundation - MCB)

* Actually, just a bit more ado: This seems like a good occasion to publicly thank Lou Messerle at the University of Iowa.  Whatever success I have had in getting proposals funded is a direct result of Lou's fantastic help with the 2002 NSF proposal. 

** That still open correctly in Word 


Egon Willighagen said...

Did the earliest two project result in Open Data linking pKa's to structures and literature?

Jan Jensen said...

That depends what you mean by open. We did collect experimental pKa values from the literature for benchmarking and validation, which are listed in tables in the paper or supplementary materials.

The work resulted in an open source program that can predict pKa values rapidly given the protein structure.