International Journal of Bioinformatics Research and Applications (Int J Bioinformatics Res Appl)

Publisher: Inderscience

Journal description

Bioinformatics is a new scientific discipline that combines biology, computer science, mathematics, and statistics into a broad-based field that will have profound impacts on all fields of biology. Bioinformatics is expected to substantially impact on scientific, engineering and economic development of the world. Research and development in bioinformatics and computational biology require the cooperation of specialists from the fields of biology, computer science, mathematics, statistics, physics, and such related sciences. It is the comprehensive application of mathematics (e.g., probability and graph theory), statistics, science (e.g., biochemistry), and computer science (e.g., computer algorithms and machine learning) to the understanding of living systems. Bioinformatics is fast emerging as an important discipline for academic research and industrial application. The large size of biological data sets, inherent complexity of biological problems and the ability to deal with error-prone data all result in special requirements such as large memory space and huge computation time. IJBRA addresses the most innovative developments, research issues and solutions in bioinformatics and computational biology and their applications.

Current impact factor: 0.00

Impact Factor Rankings

Additional details

5-year impact 0.00
Cited half-life 0.00
Immediacy index 0.00
Eigenfactor 0.00
Article influence 0.00
Website International Journal of Bioinformatics Research and Applications website
Other titles Bioinformatics research and applicatons, IJBRA
ISSN 1744-5485
OCLC 300961439
Material type Periodical, Internet resource
Document type Internet Resource, Journal / Magazine / Newspaper

Publisher details


  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author cannot archive a post-print version
  • Restrictions
    • 6 months embargo
  • Conditions
    • Cannot archive until publication
    • Author's pre-print and Author's post-print on author's personal website, institutional repository or subject repository
    • Publisher copyright and source must be acknowledged
    • Must link to journal webpage and /or DOI
    • Publisher's version/PDF cannot be used, unless covered by funding agency rules
    • Authors covered by funding agency rules, may post the Publisher's Version/PDF in subject repositories after a 6 months embargo
    • Reviewed 10/02/2014
    • Author's post-print equates to Inderscience's Proof
  • Classification

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: Laptop computers have become an important and essential for students to acquire for their studies, and careers. laptop computers in the classroom can lead to positive education outcomes. This study aims to examine student’s perceptions concerning the usage of laptop and the acceptance of laptop in the AZZAYTUNA UNIVERSITY in LIBYA. Also, to investigates the level of usage on the use of Laptop computers among students, and to examines the relationship between the perceptions of students concerning the use
    International Journal of Bioinformatics Research and Applications 08/2016; 2(2):32.
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    ABSTRACT: HIV-1 protease (HIV-1 PR) enzyme is essential for the accurate assembly and maturation of infectious HIV retroviruses. The significant role of HIV-1 protease in viral replication has made it a potential drug target. In recent past, phytochemical gallic acid derivatives have been screened for protease inhibitor activity. The present work aims to design and evaluate potential gallic acid (GA)-based HIV-1 PR phyto-inhibitors by docking approach. The ligands were prepared by ChemDraw and the docking was performed in HEX software. In this present study, one of the GA analogues (GA5) emerged as a potent drug candidate for HIV-1 PR inhibition and showed comparable docking results with an anti-HIV pro-drug, fosamprenavir. The GA5 derivative provided a lead for designing more effective HIV-1 PR inhibitor.
    International Journal of Bioinformatics Research and Applications 08/2015;
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    ABSTRACT: The human gut is one of the most densely populated microbial communities in the world. The interaction of microbes with human host cells is responsible for several disease conditions and of criticality to human health. It is imperative to understand the relationships between these microbial communities within the human gut and their roles in disease. In this study we analyse the microbial communities within the human gut and their role in Inflammatory Bowel Disease (IBD). The bacterial communities were interrogated using Length Heterogeneity PCR (LH-PCR) fingerprinting of mucosal and luminal associated microbial communities for a class of healthy and diseases patients.
    International Journal of Bioinformatics Research and Applications 03/2015; 11(2):111-29. DOI:10.1504/IJBRA.2015.068087
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    ABSTRACT: The incidence of bacterial disease has increased tremendously in the last decade, because of the emergence of drug resistance strains within the bacterial pathogens. The present study was to investigate the antibacterial compound 2,5-di-tert-butyl-1,4-benzoquinone (DTBBQ) isolated from marine Streptomyces sp. VITVSK1 as a potent antibacterial agent. The antibacterial potential of DTBBQ was investigated against RNA Polymerase (PDB ID-1I6V) by in silico molecular docking tools. Results of our study showed the high affinity interaction between DTBBQ and RNA polymerase and also confirmed the drug likeliness of DTBBQ using ADMET in silico pharmacology tools. Our findings suggest that DTBBQ could be used as antibacterial drug to defend the emerging antibacterial resistance.
    International Journal of Bioinformatics Research and Applications 03/2015; 11(2):142-52. DOI:10.1504/IJBRA.2015.068089
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    ABSTRACT: Investigation of essential proteins is significantly valuable for understanding of cellular life, drug design and other practical purposes. In most of current studies, essential proteins are generally mined in protein-protein interaction (PPI) networks with diverse topology features. In this study, we investigate what kind of proteins is inclined to be essential from a new perspective. The investigation implies that protein essentiality is correlated with protein domains, which are functional, structural and evolutionary units of proteins. Proteins with a larger Number of Domain Types (NDT) tend to be essential. The analyses on 22 species show that essential proteins identified by NDT are much more than those identified by ten random identifications. The consideration of the structural feature makes us less dependent on network data and thus enables us to investigate protein essentiality of more species with incomplete and/or inconsistent network data.
    International Journal of Bioinformatics Research and Applications 03/2015; 11(2):91-110. DOI:10.1504/IJBRA.2015.068086
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    ABSTRACT: Hepatitis Delta Virus (HDV) is an RNA virus and causes delta hepatitis in humans. Although a lot of data is available for HDV, but retrieval of information is a complicated task. Current web database 'HDVDB' provides a comprehensive web-resource for HDV. The database is basically concerned with basic information about HDV and disease caused by this virus, genome structure, pathogenesis, epidemiology, symptoms and prevention, etc. Database also supplies sequence data and bibliographic information about HDV. A tool 'siHDV Predict' to design the effective siRNA molecule to control the activity of HDV, is also integrated in database. It is a user friendly information system available at public domain and provides annotated information about HDV for research scholars, scientists, pharma industry people for further study.
    International Journal of Bioinformatics Research and Applications 03/2015; 11(2):162-70. DOI:10.1504/IJBRA.2015.068091
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    ABSTRACT: A Probabilistic Neural Network (PNN) is a statistical algorithm and consists of a grouping of multi-class data. The conventional method of detection of DNA mutations by the human eye may not detect the minute variations in PCR-SSCP bands, which may lead to false positive or false negative results. The detection by photographic images may contain a blare (noise) caused during the time of photography; therefore, image processing techniques were used to reduce image noise. PCR-SSCP gels of T2DM patients (n = 100) and controls (n = 100) were initially photographed with equal ratio of pixels and later subjected to a two-stage analysis: feature extraction and PNN. The evaluation of the results was done by quality training and the accuracy was up to 95%, and the human eye analysis showed 80% mutation detection rate. This study proves to be very reliable and gives accurate and fast detection for mutation analysis in diabetes. This method could be extended for analysis in other human diseases.
    International Journal of Bioinformatics Research and Applications 01/2015; 11(4):308. DOI:10.1504/IJBRA.2015.070115
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    ABSTRACT: Bio-systems are inherently complex information processing systems. Their physiological complexities limit the formulation and testing of a hypothesis for their behaviour. Our goal here was to test a computational framework utilising published data from a longitudinal study of patients with acute myeloid leukaemia (AML), whose DNA from both normal and malignant tissues were subjected to NGS analysis at various points in time. By processing the sequencing data before relapse time, we tested our framework by predicting the regions of the genome to be mutated at relapse time and, later, by comparing our results with the actual regions that showed mutations (discovered by genome sequencing at relapse time). After a detailed statistical analysis, the resulting correlation coefficient (degree of matching of proposed framework with real data) is 0.9816 ± 0.009 at 95% confidence interval. This high performance from our proposed framework opens new research opportunities for bioinformatics researchers and clinical doctors.
    International Journal of Bioinformatics Research and Applications 01/2015; 11(3):200. DOI:10.1504/IJBRA.2015.069186
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    ABSTRACT: In this work we described a bacterial open reading frame with two different directions of nucleotide usage biases in its two parts. The level of GCcontent in third codon positions (3GC) is equal to 40.17 ± 0.22% during the most of the length of Corynebacterium diphtheriae spaC gene. However, in the 3'-end of the same gene (from codon #1600 to codon #1873) 3GC level is equal to 64.61 ± 0.91%. Using original methodology ('VVTAK Sliding window' and 'VVTAK VarInvar') we approved that there is an ongoing mutational AT-pressure during the most of the length of spaC gene (up to codon #1599), and there is an ongoing mutational G-pressure in the 3'-end of spaC. Intragenic promoters predicted by three different methods may be the cause of the differences in preferable types of nucleotide mutations in spaC parts because of their autonomous transcription
    International Journal of Bioinformatics Research and Applications 01/2015; 11(4):347. DOI:10.1504/IJBRA.2015.070140
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    ABSTRACT: Design of selective matrix metalloproteinases (MMPs) inhibitors is still a challenging task because of binding pocket similarities and flexibility among MMPs family. To overcome this issue we try to generate a (threedimensional quantitative structure activity relationship) 3D-QSAR model that might reflect, at least in part, the differential properties of MMP-12 and MMP-13 active sites compared to each other. The different alignment rules were applied for CoMFA/CoMSIA model development. In an approach the best docked poses were followed by alignment based on their zinc binding group. As it was suggested by comparison of CoMSIA contour maps of MMP-12 with MMP-13, the ligand based approach can find more detailed features of specificity for MMPs that have similar highly flexible active sites, than solely analysis of available crystal structures. The residues Val194, Leu214 and Thr220 of MMP-13 were suggested to be investigated for flexibility upon binding of different ligands.
    International Journal of Bioinformatics Research and Applications 01/2015; 11(4):326. DOI:10.1504/IJBRA.2015.070139
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    ABSTRACT: Class B GPCR family is a small group of receptors which are activated by peptides of intermediate length that range from 30 to 40 amino acid residues including hormones, neuropeptides and autocrine factors that mediate diverse physiological functions. They are involved in physiological processes like glucose homeostasis (glucagon and glucagon-like peptide-1), calcium homeostasis and bone turnover (parathyroid hormone and calcitonin), and control of the stress axis (corticotropin-releasing factor). Most of the GPCR structures and their functions are still unknown. Thus, the study of amino acid association patterns can be useful in prediction of their structure and functions. In view of above, in this paper, an attempt has been made to explore amino acid association patterns in class B GPCRs and their relationships with secondary structures and physiochemical properties. The fuzzy association rule mining is employed to take care of uncertainty due to variation in length of sequences. The association rules have been generated with the help of patterns discovered in the sequences.
    International Journal of Bioinformatics Research and Applications 01/2015; 11(3):219. DOI:10.1504/IJBRA.2015.069193
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    ABSTRACT: O104:H4 is a new strain of E. coli that has caused an outbreak in Germany. It was isolated from patients with bloody diarrhoea and Haemolytic Uremic Syndrome (HUS). BGI ( sequenced and assembled this new strain. It was reported to show resistance to a number of drugs that are toxic to other E. coli and causes serious complications during infections, which ultimately lead to death. Multi-drug resistance and high virulence of this strain is thought to be acquired from different sources, by horizontal gene transfer. A total of 38 prophage elements were detected from the new strain by using three computational tools viz., DRAD, Prophage Finder and PHAST. Analysis on these prophage elements shows a number of virulence proteins like Shiga toxin and multi-drug resistance protein encoding genes. The high virulence of the strain could be attributed by the prophage elements acquired from its micro environment.
    International Journal of Bioinformatics Research and Applications 01/2015; 11(3):187. DOI:10.1504/IJBRA.2015.069185

  • International Journal of Bioinformatics Research and Applications 01/2015; 11(4):281. DOI:10.1504/IJBRA.2015.070113