Please use this identifier to cite or link to this item:
Title: A comprehensive approach for validating p53 binding site predictions
Authors: Özyer, Tansel
Alhajj, Reda
Keywords: Neoplasms
Tumor Suppressor Protein p53
p53 proteins
Issue Date: 20-Oct-2017
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: Özyer, T., & Alhajj, R. (2017, May). A comprehensive approach for validating p53 binding site predictions. In 2017 8th International Conference on Information Technology (ICIT) (pp. 846-853). IEEE.
Abstract: Predicting the locations of Response Elements (RE) has received considerable attention in the field of gene sequence analysis and bioinformatics. Protein53 (p53) has a prominent role in the cell cycle and cancer prevention; it functions as a transcription factor and binds with p53 REs in the DNA. The identification of p53 response elements enlightens the unknown functions and characteristics of p53 besides the genes containing binding sites. In this work, we have proposed an algorithm for validating the prediction of the possible p53 binding sites in the human genome, by incorporating the recent findings on the p53 REs into our suggested profile hidden Markov model (PHMM). We constructed two PHMMs and the results described in this paper are very promising. In the experiments, we have used the p53 REs data reported by Riley et al. [21]. © 2017 IEEE.
Description: 8th International Conference on Information Technology (2017 : Amman; Jordan)
ISBN: 978-150906332-1
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Show full item record

CORE Recommender

Page view(s)

checked on Dec 26, 2022

Google ScholarTM



Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.