We introduced a new method---duration Hidden Markov Model (dHMM) to predicate the secondary structure of Protein. In our study, we divide the basic second structure of protein into three parts: H (a-Helix), E (B-sheet) and O (others, include coil and turn). HMM is a kind of probabilistic model which more thinking of the interaction between adjacent amino acids (these interaction were represented by transmit probability), and we use genetic algorithm to determine the model parameters. After improving on the model and fixed on the parameters of the model, we write a program HMMPS. Our example shows that HMM is a nice method for protein secondary structure prediction.
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机译:Structure Determination and Mechanistic Insights of: I.Cyanobacteriochrome NpR6012g4 Light Sensor Protein in Phototaxis II.Retinal Degeneration 3 (RD3) Protein in Vision III.Ryanodine Receptor 2 (RyR2) Regulation by Calmodulin (CaM) in Cardiac Function =结构测定和机理洞悉:I.趋光性中的蓝细菌色素NpR6012g4光敏蛋白 II.视觉作用中的视网膜退化蛋白3 III.心脏功能中的钙调蛋白调控兰诺定受体2