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    A curated database of immunodeficiency viruses specific to AIDS disease, called HIV Information REsources (HIRE) has been developed. The puropse is to unify all the available knowledge in the area, and to provide one stop place for the latest and integrated information to serve scientific and medical communities at large. The database contains genomic and proteomic information, sequences, drug properties and targets, and related biochemical and clinical data. Whereas the available scientific information is comprehensive, the disease related data are more country specific. The database also houses information for similar retroviruses like SIV, FIV and EIAV. The present database with integrated sequence, structural, biochemical and clinical data, and accompanied Java tools would be an ideal resource for information retrieval, whole genome and proteome analyses, to computationally address key questions to make new discoveries in the area and direct further experimental investigations, and finally for retrieval of scientific literature and relevant data.

Working with the database

    The database is freely available and can be accessed from a web server lacated in Bioinformatics Infrastructure Facility at School of Life Sciences, University of Hyderabad with the following URL: http://bif.uohyd.ernet.in/hire

Join Us

    With the provided user registration system user can register themselves and can be the active member of HIRE team. A register member will be able to submit the data into the database. Each register member will be provided a personal account to manage the data submitted by him/her. Using the account they can view as well as update the previous entries.

Data Submission

    Currently the database is storing the informations about the proteins of HIV and other related reteroviruses like SIV, EIAV, FIV etc. For the submission these informations there are four types of forms available for the submission of data.

  1. Complete Data submission.
  2. Complete data submission option asks to submit the data related to proteins of HIV or other retroviruses like SIV/FIV/EIAV along with the related drugs and literature informations. The complete set of data comperises of three fields Protein Informations, Drugs related data and Literatures.

  3. Protein informations
  4. Protein informations option allows you to submit the data related to proteins such as name of the protein its gene source, sequence and structure.

  5. Drug related data
  6. Using the drug data entry form user can submit only the data related to drugs.

  7. Literatures
  8. For the submission of literatures/citations.

Form fields and their description

Protein Name:Name of the protein.
Gene: Gene responible for the corresponding protein
Source: Organism (Virus) name, which protein is given.
Function: Function refers to the role of protein in the cell.
Description about protein: Introduction of a protein, describing general facts, structure and function.
Sequence: Protein sequence. Sequence should be in fasta format.
Structure: Structure of protein in pdb format.
MSA1: Multiple Sequence Alignment data of homologous sequences of a protein sequence, found from BLAST search against within organism (Source). Only .aln format can upload.
MSA2: Multiple Sequence Alignment data of homologous sequences of a protein sequence, found from BLAST search against other organism (Source). Only .aln format can upload.
Sequence IDs
PDB ID: Related protein structure pdb id.
SwissProt ID: Swiss prot database id for a protein.
RefSeq ID: Refseq database id for a protein (refseq database is curated non-redundant sequence database of genomes and proteins.).

Drug Name: Common name of the available drug for HIV
Scientific Name: Scientific Name of the drug
CAS No.: Chemical Abstract Service identification number
Target: Target of the drug
Function: Action of the drug
Description about drug:
Description of drug by describing general facts and composition.
Smile Code: Isomeric SMILES string corresponding to drug structure
Structure: 2D structure for small molecules drug in .mol format.

Pubmed ID: PubMed id of the literature.
Title: Title of the review literature.
Authors: Name of the author of the published literature.
Journal: Type of the journal, volume and date of publication.
DOI: Digital object identifier (doi) of full text of same literature.