Is HNF4A a candidate to study zinc finger protein slug?

Q4 Health Professions
P. Suravajhala, T. Singh
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引用次数: 0

Abstract

Protein-Protein Interactions (PPI) play a crucial role in deciphering function besides identifying candidates. While the experimental analysis is often time consuming involving number of experiments like pulldown assays, they are not necessarily limiting the ability to detect novel protein interactors. In this work, we discuss the role and putative interactors of SNAI2, a slug protein which is involved in the development of cancer progression. The protein interactions have been deciphered by domain pair exclusion method which gives confidence to already precluded interaction pairs. Additionally, conservation patterns of the slug protein have also been analysed by estimating site-specific evolutionary rates at structural level. Based upon the computational analysis, we consider HNF4A could be a putative candidate to study zinc finger protein slug. We believe, this candidate study augmented with structural conservation will definitely provide novel insights into the design and discovery of new interactions for zinc finger class of proteins besides providing possible clues for discovery of various cancer types associated with this class of proteins.
HNF4A是研究锌指蛋白蛞蝓的候选物吗?
蛋白质-蛋白质相互作用(PPI)除了识别候选蛋白外,在破译功能方面也起着至关重要的作用。虽然实验分析通常是耗时的,涉及大量的实验,如拉下试验,但它们并不一定限制了检测新型蛋白质相互作用物的能力。在这项工作中,我们讨论了SNAI2的作用和可能的相互作用,SNAI2是一种参与癌症进展的鼻涕虫蛋白。用结构域对排除法对蛋白质相互作用进行了解码,对已经排除的相互作用对提供了信心。此外,通过在结构水平上估计位点特异性进化速率,也分析了鼻涕虫蛋白的保护模式。基于计算分析,我们认为HNF4A可能是研究锌指蛋白蛞蝓的候选者。我们相信,这项具有结构保守性的候选研究将为锌指蛋白的设计和新相互作用的发现提供新的见解,并为发现与这类蛋白相关的各种癌症类型提供可能的线索。
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来源期刊
International Journal of Bioinformatics Research and Applications
International Journal of Bioinformatics Research and Applications Health Professions-Health Information Management
CiteScore
0.60
自引率
0.00%
发文量
26
期刊介绍: Bioinformatics is an interdisciplinary research field that combines biology, computer science, mathematics and statistics into a broad-based field that will have profound impacts on all fields of biology. The emphasis of IJBRA is on basic bioinformatics research methods, tool development, performance evaluation and their applications in biology. IJBRA addresses the most innovative developments, research issues and solutions in bioinformatics and computational biology and their applications. Topics covered include Databases, bio-grid, system biology Biomedical image processing, modelling and simulation Bio-ontology and data mining, DNA assembly, clustering, mapping Computational genomics/proteomics Silico technology: computational intelligence, high performance computing E-health, telemedicine Gene expression, microarrays, identification, annotation Genetic algorithms, fuzzy logic, neural networks, data visualisation Hidden Markov models, machine learning, support vector machines Molecular evolution, phylogeny, modelling, simulation, sequence analysis Parallel algorithms/architectures, computational structural biology Phylogeny reconstruction algorithms, physiome, protein structure prediction Sequence assembly, search, alignment Signalling/computational biomedical data engineering Simulated annealing, statistical analysis, stochastic grammars.
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