GANA--a genetic algorithm for NMR backbone resonance assignment
نویسندگان
چکیده
منابع مشابه
Statistical evaluation of NMR backbone resonance assignment
This paper proposes a novel statistical evaluation model for automated protein NMR sequential resonance assignment. It can be bound to any assignment program and provides confidences for the whole output assignment and each individual mapping. A simulation study on a set of four proteins shows that the statistical evaluation results are informative.
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Error tolerant backbone resonance assignment is the cornerstone of the NMR structure determination process. Although a variety of assignment approaches have been developed, none works well on noisy automatically picked peaks. We have designed an integer linear programming (ILP) based assignment system (IPASS) for this purpose. In order to reduce size of the problem, IPASS employs probabilistic ...
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The success in backbone resonance sequential assignment is fundamental to protein three dimensional structure determination via NMR spectroscopy. Such a sequential assignment can roughly be partitioned into three separate steps, which are grouping resonance peaks in multiple spectra into spin systems, chaining the resultant spin systems into strings, and assigning strings of spin systems to non...
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Error tolerant backbone resonance assignment is the cornerstone of the NMR structure determination process. Although a variety of assignment approaches have been developed, none works sufficiently well on noisy fully automatically picked peaks to enable the subsequent automatic structure determination steps. We have designed an integer linear programming (ILP) based assignment system (IPASS) th...
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ژورنال
عنوان ژورنال: Nucleic Acids Research
سال: 2005
ISSN: 0305-1048,1362-4962
DOI: 10.1093/nar/gki768