@inproceedings{ hibit11,
  author = {Halit Erdogan, and Mehmet Serkan Apaydin}
}
,
  title = {Incorporating HADAMAC experiment into NVR for NMR Structure-Based Assignments}
}
,
  booktitle = {Proc. of the 6th International Symposium on Health Informatics and Bioinformatics (HIBIT'11)}
}
,
  urln = {hibit11.pdf}
}
,
  year = {2011}
}
,
  abstract = {Protein structure determination is crucial to understand a protein's function and to develop drugs against diseases. Nuclear Magnetic Resonance (NMR) spectroscopy is an experimental technique that allows one to study protein structure in solution. In NMR Structure-based assignment problem, the aim is to assign experimentally observed peaks to the specific nuclei of the target molecule by using a template protein and it is an important computational challenge. NVR-BIP is a tool that utilizes a scoring function based on NVR's framework and computes assignments for given NMR data. In this paper, we incorporate HADAMAC experiment---which helps predict an amino acid class for each peak--- with NVRBIP's scoring function. Experiments show that the new scoring function results in higher assignment accuracies compared to the previous approaches}
}