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In Silico Structure Modeling and Characterization of Hypothetical Proteins Present in Human Fetal Brain


 
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1. Title Title of document In Silico Structure Modeling and Characterization of Hypothetical Proteins Present in Human Fetal Brain
 
2. Creator Author's name, affiliation, country Parakh Sharma; Department of Bioinformatics, Guru Nanak Khalsa College, Mumbai, Maharashtra; India
 
2. Creator Author's name, affiliation, country Komal Patil; Department of Bioinformatics, Guru Nanak Khalsa College, Mumbai, Maharashtra; India
 
2. Creator Author's name, affiliation, country Devangi Sarang; Department of Bioinformatics, Guru Nanak Khalsa College, Mumbai, Maharashtra; India
 
2. Creator Author's name, affiliation, country Pramod Shinde; Department of Bioinformatics, Guru Nanak Khalsa College, Mumbai, Maharashtra; India
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) Hypothetical Protein, Perireticular Nucleus, Bioinformatics, Characterization, Domain
 
4. Description Abstract

Human genome project provided infrastructure of biological information and essential information of gene sequences make it possible to predict proteins for which there is no experimental evidence. Characterization of hypothetical proteins is provided by sequence similarity with proteins of known function. Aim of this study was to describe Hypothetical proteins [Q9Y4F4, Q14166, Q9NUQ6, Q9H0W9 and Q9H0R4] in the perireticular nucleus, a key structure in human brain development. The functional domain prediction was carried out using InterPro, BLASTcds, COGs and CDART. I-TASSER server was used for tertiary structure prediction and structure comparison studies performed using VAST and DALI. This study revealed some probable functions of hypothetical proteins. These proteins were predicted to serve the functional roles in various activities like DNA - protein binding, protein modification process, ligase activity, hydrolase activity and are also involved in the metabolic processes.
 
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6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2013-06-14
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://medical.cloud-journals.com/index.php/IJABCB/article/view/Med-84
11. Source Journal/conference title; vol., no. (year) International Journal of Advanced Bioinformatics and Computational Biology; Published Papers
 
12. Language English=en en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
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