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Improving decoy databases for protein folding algorithms
2014
Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics - BCB '14
Predicting protein structures and simulating protein folding are two of the most important problems in computational biology today. Simulation methods rely on a scoring function to distinguish the native structure (the most energetically stable) from non-native structures. Decoy databases are collections of non-native structures used to test and verify these functions. We present a method to evaluate and improve the quality of decoy databases by adding novel structures and removing redundant
doi:10.1145/2649387.2660839
dblp:conf/bcb/LindseyYWTA14
fatcat:cspilf6k3bawbo7trzn6jrdhpi