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J Chem Theory Comput. 2010 Feb 9;6(2):434-437.

CCMA: A Robust, Parallelizable Constraint Method for Molecular Simulations.

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Department of Bioengineering, Stanford University, Stanford, CA 94305.


We introduce a new algorithm, the Constant Constraint Matrix Approximation (CCMA), for constraining distances in molecular simulations. It combines the best features of many existing algorithms while avoiding their defects: it is fast, stable, can be applied to arbitrary constraint topologies, and can be efficiently implemented on modern parallel architectures. We test it on a protein with bond length and limited angle constraints, and find that it requires less than one sixth as many iterations as SHAKE to converge.

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