NDLI: Prediction of protein disordered regions in a protein sequence based on gap-constraint subsequence patterns

Content Provider	IEEE Xplore Digital Library
Author	Meijing Li Xiuming Yu Taewook Kim Keun Ho Ryu
Copyright Year	2012
Description	Author affiliation: Database/Bioinformatics Lab., Chungbuk National University, Cheongju, South Korea (Meijing Li; Xiuming Yu; Taewook Kim; Keun Ho Ryu)
Abstract	The disordered region is an important protein structure which contains much information about protein function. Until now, the prediction of protein disordered region is also much popular task. In this paper, we proposed a new approach to predict protein disordered regions in a protein sequence using the gap-constraint subsequence patterns mining and association rule mining. At first, the gap-constraint frequent subsequences are generated by Gap-BIDE algorithm in two classes, disordered sequence and ordered sequence. Based on these frequent subsequences, we calculated the conditional probability of disordered subsequence patterns in both classes and classify the candidates into the class which has the higher conditional probability. Finally, we used the disordered/ordered subsequence patterns which we generate to search the disordered regions in a protein sequence. In the experiment, we used the CASP 9 and Disprot 5.7 dataset as test data and the performance is higher than other methods.
Starting Page	195
Ending Page	199
File Size	735758
Page Count	5
File Format	PDF
ISBN	9781467321112
e-ISBN	9781467321129
e-ISBN	9781467321105
DOI	10.1109/iCAwST.2012.6469613
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-21
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Gap-constraint frequent sequence Accuracy Protein disordered region Probability Amino acids Protein sequence Data mining Bioinformatics
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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