首页   按字顺浏览 期刊浏览 卷期浏览 HYBRID MODELS OF UNCERTAINTY IN PROTEIN TOPOLOGY PREDICTION
HYBRID MODELS OF UNCERTAINTY IN PROTEIN TOPOLOGY PREDICTION

 

作者: SIMON PARSONS,  

 

期刊: Applied Artificial Intelligence  (Taylor Available online 1995)
卷期: Volume 9, issue 3  

页码: 335-351

 

ISSN:0883-9514

 

年代: 1995

 

DOI:10.1080/08839519508945478

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

Predicting protein structure is an important problem in molecular biology, and one that has attracted much attention. It is also a difficult problem, since the available data are incomplete and pervaded with uncertainty. This paper describes models for the prediction of an intermediate level of protein structure known as the topology of the protein. The models handle uncertainty explicitly, making use of probability, possibility, and evidence theories singly and in combination to handle different aspects of the problem.

 

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