I've tried QUEEN approach in the past and found that it helps to identify important restraints quickly. With the list of restraints sorted by the order of importance one can start with validating the most significant restraints first.

This allows concentrating on a subset of maybe 10% of all restraints.

QUEEN stands for QUantitative Evaluation of Experimental Nmr restraints.

When you look at the sorted list of restraints you'll quickly notice that long range restraints are on the top of the list, quite predictable. However QUEEN method is quantitative - it's based on the analysis of information content hidden in the set of distance restraints (or other geometrical restraints that can be mapped into plain distance restraints).

I've tried QUEEN approach in the past and found that it helps to identify important restraints quickly. With the list of restraints sorted by the order of importance one can start with validating the most significant restraints first.

This allows concentrating on a subset of maybe 10% of all restraints.

QUEEN stands for QUantitative Evaluation of Experimental Nmr restraints.

When you look at the sorted list of restraints you'll quickly notice that long range restraints are on the top of the list, quite predictable. However QUEEN method is quantitative - it's based on the analysis of information content hidden in the set of distance restraints (or other geometrical restraints that can be mapped into plain distance restraints).

At the time when I tried the software it had a limitation of working only with the proteins.

I've tried QUEEN approach in the past (when I was a postdoc in Rob Clubb's lab at UCLA) and found that it helps to identify important restraints quickly. With the list of restraints sorted by the order of importance one can start with validating the most significant restraints first.

This allows concentrating on a subset of maybe 10% of all restraints.

QUEEN stands for QUantitative Evaluation of Experimental Nmr restraints.

When you look at the sorted list of restraints you'll quickly notice that long range restraints are on the top of the list, quite predictable. However QUEEN method is quantitative - it's based on the analysis of information content hidden in the set of distance restraints (or other geometrical restraints that can be mapped into plain distance restraints).

At the time when I tried the software it had a limitation of working only with the proteins.

links

• original paper
• queen project website
• NMR Wiki page