Prediction of Protein Interdomain Linker Regions by a Nonstationary Hidden Markov Model
利用非平稳隐马尔可夫模型预测蛋白质结构域间连接区
Proteins have two types of regions: linker regions that connect active domains and nonlinker regions, which include domains and terminal residues. It is important to try to distinguish these regions using information in the sequence of amino acids that, when folded, form the protein. In this article we develop a nonstationary hidden Markov model to infer region boundaries. The approach is based on a latent variable defined on the sequence; this variable is a continuous index…