发明申请
US20060008831A1 Methods and systems for predicting protein-ligand coupling specificities
审中-公开
用于预测蛋白质 - 配体偶联特异性的方法和系统
- 专利标题: Methods and systems for predicting protein-ligand coupling specificities
- 专利标题(中): 用于预测蛋白质 - 配体偶联特异性的方法和系统
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申请号: US11176621申请日: 2005-07-08
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公开(公告)号: US20060008831A1公开(公告)日: 2006-01-12
- 发明人: Kodangattil Sreekumar , Youping Huang , Mark Pausch , Kamalakar Gulukota
- 申请人: Kodangattil Sreekumar , Youping Huang , Mark Pausch , Kamalakar Gulukota
- 主分类号: C12Q1/68
- IPC分类号: C12Q1/68 ; G01N33/53 ; G06F19/00
摘要:
The invention provides methods and systems for predicting or evaluating protein-ligand coupling specificities. A pattern recognition model can be trained by selected sequence segments of training proteins which have a specified ligand coupling specificity. Each selected sequence segment is believed to include amino acid residue(s) that may contribute to the ligand coupling specificity of the corresponding training protein. Sequence segments in a protein of interest can be similarly selected and used to query the trained model to determine if the protein of interest has the same ligand coupling specificity as the training proteins. In one embodiment, the pattern recognition model employed is a hidden Markov model which is trained by concatenated cytosolic domains of GPCRs which have interaction preference to a specified class of G proteins. This trained model can be used to evaluate G protein coupling specificity of orphan GPCRs.
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