Literature DB >> 30152276

HYPO: A Database of Human Hypothetical Proteins.

Vijayaraghava S Sundararajan1,2, Girik Malik3, Johny Ijaq1,4, Anuj Kumar1,5, Partha Sarathi Das1,6, Shidhi P R7, Achuthsankar S Nair7, Pawan K Dhar8, Prashanth Suravajhala1,9.   

Abstract

BACKGROUND: There are genes whose function remains obscure as they may not have similarities to known regions in the genome. Such known 'unknown' genes constituting the Open Reading Frames (ORF) that remain in the epigenome are termed as orphan genes and the proteins encoded by them but having no experimental evidence of translation are termed as 'Hypothetical Proteins' (HPs).
OBJECTIVES: We have enhanced our former database of Hypothetical Proteins (HP) in human (HypoDB) with added annotation, application programming interfaces and descriptive features. The database hosts 1000+ manually curated records of the known 'unknown' regions in the human genome. The new updated version of HypoDB with functionalities (Blast, Match) is freely accessible at http://www.bioclues.org/hypo2.
METHODS: The total collection of HPs were checked using experimentally validated sets (from Swiss-Prot) or non-experimentally validated set (TrEMBL) or the complete set (UniProtKB). The database was designed with java at the core backend, integrated with databases, viz. EMBL, PIR, HPRD and those including descriptors for structural databases, interaction and association databases.
RESULTS: The HypoDB constituted Application Programming Interfaces (API) for implicitly searching resources linking them to other databases like NCBI Link-out in addition to multiple search capabilities along with advanced searches using integrated bio-tools, viz. Match and BLAST were incorporated.
CONCLUSION: The HypoDB is perhaps the only open-source HP database with a range of tools for common bioinformatics retrievals and serves as a standby reference to researchers who are interested in finding candidate sequences for their potential experimental work. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

Entities:  

Keywords:  BLAST; Bioinformatics; application programming interfaces; database; hypothetical proteins; orphan genes.

Mesh:

Substances:

Year:  2018        PMID: 30152276     DOI: 10.2174/0929866525666180828110444

Source DB:  PubMed          Journal:  Protein Pept Lett        ISSN: 0929-8665            Impact factor:   1.890


  1 in total

Review 1.  Hypothetical Proteins as Predecessors of Long Non-coding RNAs.

Authors:  Girik Malik; Tanu Agarwal; Utkarsh Raj; Vijayaraghava Seshadri Sundararajan; Obul Reddy Bandapalli; Prashanth Suravajhala
Journal:  Curr Genomics       Date:  2020-11       Impact factor: 2.236

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.