{"title":"HNF4A是研究锌指蛋白蛞蝓的候选物吗?","authors":"P. Suravajhala, T. Singh","doi":"10.1504/IJBRA.2015.070141","DOIUrl":null,"url":null,"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.","PeriodicalId":35444,"journal":{"name":"International Journal of Bioinformatics Research and Applications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2015-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJBRA.2015.070141","citationCount":"0","resultStr":"{\"title\":\"Is HNF4A a candidate to study zinc finger protein slug?\",\"authors\":\"P. Suravajhala, T. Singh\",\"doi\":\"10.1504/IJBRA.2015.070141\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":35444,\"journal\":{\"name\":\"International Journal of Bioinformatics Research and Applications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1504/IJBRA.2015.070141\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Bioinformatics Research and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJBRA.2015.070141\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Health Professions\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Bioinformatics Research and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJBRA.2015.070141","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Health Professions","Score":null,"Total":0}
Is HNF4A a candidate to study zinc finger protein slug?
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.
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.