Bioscience & Engineering: An International Journal (BIOEJ)

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Bioscience & Engineering: An International Journal (BIOEJ) is a peer-reviewed, open access journal that addresses the impacts and challenges of Bioscience, Bioengineering and Applications. The journal documents practical and theoretical results which make a fundamental contribution for the development of Bioscience & Engineering. This journal aims to bring together researchers and practitioners in all Bioscience & Engineering aspects, including (but not limited to)

Health & Medicine

Bioscience & Engineering: An International Journal (BIOEJ)
ISSN : 2349 - 848X
https://airccse.com/bioej/index.html
Call for papers
Bioscience & Engineering: An International Journal (BIOEJ) is a peer-reviewed, open
access journal that addresses the impacts and challenges of Bioscience, Bioengineering and
Applications. The journal documents practical and theoretical results which make a fundamental
contribution for the development of Bioscience & Engineering.
This journal aims to bring together researchers and practitioners in all Bioscience & Engineering
aspects, including (but not limited to)
Topics of Interest
 Agriculture and food
 Agricultural Technology
 Anatomy and morphology
 Behavioral Sciences
 Biochemical Engineering
 Biochemistry
 Bio-fermentation Technology
 Bioinformatics
 Biomedicine
 Bioscience Engineering
 Biotechnology
 Entomology
 Environmental Engineering
 Environmental Technology
 Food Science & Technology
 Forestry
 Genetics
 Geomicrobiology
 Health Informatics
 Immunotechnology
 Marine Science and Technology
 Microbiology
 Molecular Biology of Plants
 Pharmaceutical Technology
 Zoo physiology

Paper Submission
Authors are invited to submit papers for this journal through Submission system or E-mail:
bioej@airccse.com. Submissions must be original and should not have been published previously
or be under consideration for publication while being evaluated for this Journal.
Important Dates
 Submission Deadline : July 08,2023
 Notification : July 25, 2023
 Final Manuscript Due : July 28, 2023
 Publication Date: Determined by the Editor-in-Chief
Contact Us:
Here's where you can reach us : bioej@airccse.com or bioejsecratry@yahoo.com
SUBMISSION URL : https://airccse.com/submission/home.html
Other Related Journal
International Journal of Biomedical Engineering and Science (IJBES)
https://airccse.com/bioej/index.html
Agricultural Science: An International journal (AGRIJ)
https://airccse.com/agrij/index.html

10th International Conference on Bioinformatics & Biosciences (BIOS 2024) is a forum for presenting new advances and research results in the field of biology to increase the understanding of all biological process. The aim of this conference is to publish all the latest and outstanding research articles in all areas of bioinformatics and Biometrics. Researchers and scientists from the fields of biology, computer science, mathematics, statistics, and physics are invited to share their developments and new techniques in the fields of Biometrics and Bioinformatics. .

DE NOVO TRANSCRIPTOME ASSEMBLY OF SOLID SEQUENCING DATA IN CUCUMIS MELO

bioejjournal

As sequencing technologies progress, focus shifts towards solving bioinformatic challenges, of which sequence read assembly is the first task. In the present study, we have carried out a comparison of two assemblers (SeqMan and CLC) for transcriptome assembly, using a new dataset from Cucumis melo. Between two assemblers SeqMan generated an excess of small, redundant contigs where as CLC generated the least redundant assembly. Since different assemblers use different algorithms to build contigs, we followed the merging of assemblies by CAP3 and found that the merged assembly is better than individual assemblies and more consistent in the number and size of contigs. Combining the assemblies from different programs gave a more credible final product, and therefore this approach is recommended for quantitative output

Cloning and Extracellular Expression of Recombinant Tissue Plasminogen Activa...

bioejjournal

Tissue plasminogen activator (tPA) has noteworthy application in treatment of acute myocardial infarctions. This study focuses on expression of rt-PA using microbial systems in order to reduce cost without compromising on quality as an alternative to commercial (rt-PA)produced by using mammalian host systems. In the present study, Pichia pastoris X-33strain was used as a host with pICZαA expression vector to obtain extracellular expression of full length tPA gene. Specific primers were designed in such a way to get native tPA protein sequence in subsequent purification steps. Further, construct pICZαA-tPA was developed and electroporated into host to achieve stablert-PA gene by achieving genome integration. The transformants were screened for phenotypic characters.Mut+ phenotypic colony named Pichia tPA-3 showed expression of rt-PA at 66 kDa on SDS PAGE. Size Exclusion Chromatography (SEC) was performed, resulting in product peak at same RT as reference standard. (alteplase).Cloning and expression of rt-PA was successfully achieved in microbial system. Further process optimization at larger scales will surely provide cost effective alternative to mammalian system forrt-PA production.

ANTIOXIDANT AND ANTIMICROBIAL ACTIVITIES OF ALGERIAN POPULUS NIGRA L. BUDS EX...

bioejjournal

This study is part of a goal to investigate chemical composition, antibacterial, antifungal and antioxidant activities of the flower buds extracts from the Algerian Polulus nigra L., which were collected from Djarifet - mansourah at Tlemcen city in the West Northern of Algeria. In organic extracts, tanins, flavonoïds, coumarins, alkaloids and terpenoïds were the principals secondary metabolites identified from the flower buds of black poplar. Antibacterial and antifungal activities of extracts were tested using agar-well diffusion method and micro-well determination of MIC assay against eleven bacteria and two Candida species. It was found that extracts of black poplar buds exhibit antibacterial and anticandidal activities with agar disk diffusion (7 to 43mm) and MIC methods (MIC= 90.33 µg/ml against several strains of bacteria and MIC=45.16 µg/ml against Candida albicans). The antioxidant effect of hydroalcoholic extract was evaluated using DPPH and FRAP assays. It was showed good and similar activity than ascorbic acid and BHA by DPPH method: IC50= 220µg/mL for hydroethanol extract.

10th International Conference on Bioinformatics & Biosciences (BIOS 2024)

bioejjournal

LOW POWER CLASS AB SI POWER AMPLIFIER FOR WIRELESS MEDICAL SENSOR NETWORK

bioejjournal

The objective of this research was to design a 2.4 GHz class AB Power Amplifier (PA), with 0.18um Semiconductor Manufacturing International Corporation (SMIC) CMOS technology by using Cadence software, for health care applications. The ultimate goal for such application is to minimize the trade-offs between performance and cost, and between performance and low power consumption design. This paper introduces the design of a 2.4GHz class AB power amplifier which consists of two stage amplifiers. This power amplifier can transmit 10dBm output power to a 50Ω load. The power added efficiency is 7.5% at 1dB compression point and the power gain is 10dB, the total power consumption is 0.135W. The performance of the power amplifier meets the specification requirements of the desired.

Phonocardiogram Based Diagnosis Using Machine Learning : Parametric Estimatio...

bioejjournal

The heart sound signal, Phonocardiogram (PCG) is difficult to interpret even for experienced cardiologists. Interpretation are very subjective depending on the hearing ability of the physician. mHealth has been the adopted approach towards quick diagnosis using mobile devices. However, it has been challenging due to the required high quality of data, high computation load, and high-power consumption. The aim of this paper is to diagnose the heart condition based on Phonocardiogram analysis using Machine Learning techniques assuming limited processing power to be encapsulated later in a mobile device. The cardiovascular system is modelled in a transfer function to provide PCG signal recording as it would be recorded at the wrist. The signal is, then, decomposed using filter bank and the analysed using discriminant function. The results showed that PCG with a 19 dB Signal-to-Noise-Ratio can lead to 97.33% successful diagnosis.

NANO BIONIC SWIMMING ROBOTICS ANDAPPLICATIONS IN ENVIRONMENTALENGINEERING

bioejjournal

As microscopic swimmers survive in nature, they have evolved unique structures and swimmingpatterns under the water, which has special advantages. The movement of bacteria at lowReynolds number (Re) environment has aroused extensive research interest. The two typical swimming methods of bacteria are introduced in this paper. Based on this, we are inspired to design the bionic robot on a micro-scale, which is an artificial structure that imitates the external shape, movement principle and behavior mode of organisms innature. Compared with traditional robots, nano bionic robots are easier to miniaturize[1]. Theyalso have higher maneuverability so that they can move continuously and flexibly. We expect tosimulate its motion at low Reynolds number (Re) fluids and explore complex future applicationsin dif erent fields

Consistent Relationship of Both Watercontent and Activity With Maize Seed Qua...

bioejjournal

Seed quality can be explained using a range of indices that are acceptable within the standards set by the International Seed Testing Association. There is a need to improve existing models to explain the wellknown variations in seed quality within and between crop species. The objective of this study was to determine the consistency of using grain water occurrence to explain seed quality in terms of viability and vigour in maize (Zea mays L.). Four sites were used over two seasons to grow three cultivars in order to monitor changes in water content, water activity, dry mass and total starch observed in different cob sections (tip, medium and bottom) at 30, 60 and 90 days after pollination. Seed quality was determined based on the germination and vigour of physiologically mature kernels. It is concluded that grains that seed quality is linked to the water activity and position on the cob.

Next Generation Sequencing in Detecting Oral Cancer Due to Tobacco Consumption

bioejjournal

DNA sequence DNA Sequencing is the first step in establishing phylogenetic trees, protein structure prediction, diagnosis of cancer, discovery of drugs and hence its importance cannot be underestimated. DNA sequencing finds its use in the diagnosis of oral squamous cell carcinoma (OSCC). Oral Cancer is the most common occurring malignancies in the world, especially in India where the prevalence for smoking, Areca nut chewing coupled with a lifestyle that encourages these two activities as fashion are left many people diagnosed with OSCC. Patients with this OSCC are more likely unaware of its side effects and over time might suffer from facial deformity. The importance to understanding the symptoms, prevention and treatment of oral cancer is very much essential today. In this paper, we looked at over 2000 odd papers published and look at the correlation between the next Generation DNA sequencing algorithms (NGS) play an important role in diagnosis of OSCC. This is a further study on some of the papers which have highlighted NGS role in OSCC Diagnosis. We did like to see a comprehensive review on the papers published so far. In the discussion, we will see frequently mutated genes in the OSCC, recent discoveries and OSCC treatment based on the findings.

Role of Computational Biology in Oral Science

bioejjournal

DNA sequence Cigarette Smoking, Betel leaf chewing, and alcohol consumption are major cause of oral cancer in Asia. The difficulty in quitting, coupled with patients’ economic conditions affects the inability to get diagnosed early, driving death rate higher. There has been major advancement in molecular sciences, computational biology, and other fields today, but we are not still able to pinpoint the causes of oral cancer, also known as Squamous Cell Carcinoma (OSCC). Early detection leads to better survival rate, therefore, education on yearly check-ups plays a vital role. Computational analysis at the genomic (DNA sequence) can help patients with targeted cellular treatment and hopefully a cure. In this paper, we would look at computation tools used in detecting OSCC and various analysis. Analysis includes detecting abnormality in the cell and other molecular reactions which later morph into a cancerous cell. Later, we investigate all computational tools or techniques from local and global sequence alignment, protein structure, gene, functional structure analysis which help medical staff detect cancer, which in turn can help with oral cancer treatment, prognosis and hopefully a cure.

NEXT GENERATION SEQUENCING IN DETECTING ORAL CANCER DUE TO TOBACCO CONSUMPTION

bioejjournal

ROLE OF COMPUTATIONAL BIOLOGY IN ORAL SCIENCE

bioejjournal

Statistical Based Media Optimization and Production of Clavulanic Acid By Sol...

bioejjournal

Statistics based optimization, Plackett–Burman design (PBD) and response surface methodology (RSM) were employed to screen and optimize the media components for the production of clavulanic acid from Streptomyces clavuligerus MTCC 1142, using solid state fermentation. jackfruit seed powder was used as both the solid support and carbon source for the growth of Streptomyces clavuligerus MTCC 1142. Based on the positive influence of the Pareto chart obtained from PBD on clavulanic acid production, five media components – yeast extract, beef extract, sucrose, malt extract and ferric chloride were screened. Central composite design (CCD) was employed using these five media components- yeast extract 2.5%, beef extract 0.5%, sucrose 2.5%, malt extract 0.25% and ferric chloride nutritional factors at three levels, for further optimization, and the second order polynomial equation was derived, based on the experimental data. Response surface methodology showed that the concentrations of yeast extract 2.5%, beef extract 0.5%, sucrose 2.5%, malt extract 0.25% and ferric chloride 2.5% were the optimal levels for maximal clavulanic acid production (19.37 mg /gds) which were validated through experiments.

A New Low-Complexity Algorithm for the Pulse Transit Time Evaluation

bioejjournal

The pulse transit time (PTT) is a physiological parameter commonly derived from Electrocardiogram (ECG) and Photoplethysmogram (PPG) signal. It is defined as the time taken for the arterial pulse to travel from the heart to a peripheral site, and can be used as a direct indicator of Cardiovascular Diseases (CVD). In this study, we propose a new low-complexity algorithm for the (PTT) estimation. The (PTT) is calculated as the interval between the peak of the ECG R-wave and a time point on the PPG. We considered a dataset of 37 subjects containing a simultaneous recording of the (ECG) and the (PPG). The computation of the (PTT) consists of detecting the peak and foot points of a (PPG) and the R peak of the (ECG) signal. Our algorithm is improved by a temporal analysis by windowing. The results obtained are promising. The average sensitivity (SEN) and accuracy (ACC) obtained are respectively (97.5%, and 96.82%) for the detection of R peaks and (97.77%, and 97.64%) for the detection of PPG peaks. The sensitivity (SEN) and accuracy (ACC) of the foot (PPG) detection were 98.33% and 94.14%.

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NEW SEQUENCE ALIGNMENT ALGORITHM USING AI RULES AND DYNAMIC SEEDS

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DNA sequence alignment is important today as it is usually the first step in finding gene mutation, evolutionary similarities, protein structure, drug development and cancer treatment. Covid-19 is one recent example. There are many sequencing algorithms developed over the past decades but the sequence alignment using expert systems is quite new. To find DNA sequence alignment, dynamic programming was used initially. Later faster algorithms used small DNA sequence length of fixed size to find regions of similarity, and then build the final alignment using these regions. Such systems were not sensitive but were fast. To improve the sensitivity, we propose a new algorithm which is based on finding maximal matches between two sequences, find seeds between them, employ rules to find more seeds of varying length, and then employ a new stitching algorithm, and weighted seeds to solve the problem.

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