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Erschienen in:
A Hybrid Scatter Search Algorithm to Solve the Capacitated Arc Routing Problem with Refill Points Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

Computational Analysis of Similar Protein-DNA Complexes from Different Organisms to Understand Organism Specific Recognition

verfasst von : R. Nagarajan, M. Michael Gromiha

Erschienen in: Intelligent Computing Theories and Application

Verlag: Springer International Publishing

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Abstract

Protein-DNA interactions play vital roles in many cellular processes. It is not clear whether the recognition of same protein-DNA complexes in different organisms is similar or different. In this work, we have analyzed the similarities and variations in interactions and interacting patterns in a set of 41 similar protein-DNA complexes from different organisms based on several features such as propensity of binding site residues, preference of binding segments, preferred amino acid-nucleotide pairs, etc. Based on the analysis, we showed the variations in interactions and interacting patterns of similar protein-DNA complexes from different organisms, which possibly lead to difference in recognition mechanism.

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Vorheriges Kapitel A Parallel Multiple K-Means Clustering and Application on Detect Near Native Model
Nächstes Kapitel Adaptive Structure-Redesigned-Based Bacterial Foraging Optimization
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Metadaten
Titel
Computational Analysis of Similar Protein-DNA Complexes from Different Organisms to Understand Organism Specific Recognition
verfasst von
R. Nagarajan
M. Michael Gromiha
Copyright-Jahr
2016
Buch
Intelligent Computing Theories and Application

Print ISBN: 978-3-319-42293-0

Electronic ISBN: 978-3-319-42294-7

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-42294-7_79