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Research & Reviews in Biotechnology and Biosciences

A Biannual Peer Reviewed, Refereed Research Journal (Estd. Year: 2014)

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Archives Volume-6, Issue-1

TABLE OF CONTENTS

Paper Title Fluorescence spectroscopy based folding-unfolding of Protein [Bovine Serum Albumin (BSA)]: an UG/PG experiment in Biotechnology
Author Name Arun Dev Sharma, Priya Nischal, Narvir Singh, Jagpreet Singh Nanda
Author Email arundevsharma47@gmail.com
Country India

Abstract View PDF
Fluorescence spectroscopy based folding-unfolding of Protein [Bovine Serum Albumin (BSA)]: an UG/PG experiment in Biotechnology
Author: Arun Dev Sharma, Priya Nischal, Narvir Singh, Jagpreet Singh Nanda

Eukaryotic and prokaryotic cells contain number of endoflores like proteins which undergoes folding-unfolding process and play very crucial biological role inside the cells. In this study an under-graduate (UG) and post-graduate (PG) experiment was set up to study folding-unfolding of protein BSA. It was observed that fluorescence of the protein in solutions varied as per the concentration of urea and guanidine hydrochloride. It was postulated that fluorescence spectroscopy based approach can be used to document protein folding process to the students of UG and PG classes.

https://doi.org/10.6084/m9.figshare.8988713.v2

Paper Title Pharmacognostic Evaluation, Phytochemical Screening and Antimicrobial Activity of Rhizome of Zingiber officinaleRoscoe (cv Moran)
Author Name Monika Biswas,Pranab Borah,Munmi Bora, &Mousmi Saikia
Author Email mousmisaikia@gmail.com
Country India

Abstract View PDF
Pharmacognostic Evaluation, Phytochemical Screening and Antimicrobial Activity of Rhizome of Zingiber officinaleRoscoe (cv Moran)
Author: Monika Biswas,Pranab Borah,Munmi Bora, &Mousmi Saikia

Pharmacognostic evaluation and phytochemical screening of the
rhizomes of ZingiberofficinaleRoscoe (cv Moran) locally known as
‘MoranAda’, revealed the presence of some bioactive components,
which have been linked to antimicrobial properties. Phytochemical
screening showed the presence of alkaloid, glycoside, tannins,
phenols, saponin and flavonoid when tested on aqueous
andmethanolicextracts of Z.officinaleRoscoe. The effects of
methanolic and aqueous extracts on some pathogenic bacterial
strains viz.: Staphylococcus aureus, Enterobacteraerogens,
Klebisiellapneumoniae, Bacillus subtilis and Escherisia coli respectively,
showed that the plant part can be used to treat infections caused by
these bacteria. The aqueous and methanolic extracts also showed
antibacterial activity but the significant antimicrobial activity was
shown by aqueous extract against all the bacteria, while moderate
activity was shown by the methanolic extract. The effectiveness of
the crude extract confirmed its use in traditional medicineto treat
asthma, cough,common cold, fever, sinusitisand other
gastrointestinal diseases.

https://doi.org/10.6084/m9.figshare.9384611.v1

Paper Title DETERMINATION OF WHITE BLOOD CELLS USING FOLDSCOPE WITH SMARTPHONE
Author Name Ranu Kumar, Kapildeo Prasad
Author Email kranu87@yahoo.in
Country India

Abstract View PDF
DETERMINATION OF WHITE BLOOD CELLS USING FOLDSCOPE WITH SMARTPHONE
Author: Ranu Kumar, Kapildeo Prasad

We are traditionally used Microscope in clinical laboratory for determination of white blood cells of human blood smear. Now, in this study we were used Foldscopewith Smartphone in the place of Microscope and examine many samples of human blood smear which was collected from local diagnostic centers. We were very easily quantity & morphology analysis of all types of WBC cells such as Neutrophils, Lymphocytes, Monocytes, Eosionophils, Basophils in blood smear with the help of Foldscope& image taken by Smartphone. The main objective of this study is to use Foldscopefor quantity & morphology analysis of human WBCs at field level especially poor resource area where healthcare services or centers is not available & where carry of microscope is not possible.

https://doi.org/10.6084/m9.figshare.9385049.v1

Paper Title A review on current and future prospective of Cancer Classification through Deep Learning
Author Name Srihariakash K, Poornima R M, Prakash Balu, Gayathri.,V, Yashicka J V, Shen-Ming Chen
Author Email prakazbt@gmail.com
Country India

Abstract View PDF
A review on current and future prospective of Cancer Classification through Deep Learning
Author: Srihariakash K, Poornima R M, Prakash Balu, Gayathri.,V, Yashicka J V, Shen-Ming Chen

Cancer is the second foremost origin of death in the world, next to heart disease. The name cancer refers to more than a thousand sicknesses illustrate by out of direct development & replication of multiple cells. Due to this reason of cancer analysis, utilization of microarray datasets along with machine learning methods escalating in the current research scenario. Classification is one of the very broadly used datamining techniques to build a model that describes & distinguishes data classes in a manner to be used to predict the class of unseen instances. In machine learning, features are chosen manually for a classifier. With Deep learning features, extraction and modelling steps are automatic. Deep learning is one of the most significant among machine learning that requires computing system to iteratively perform calculations to identified patterns by itself. Deep learning use training data to discover underlying patterns, build models & make predictions based on the best fit model. In the last decades, there has been a growing interest of addressing cancer classification using deep learning due to their positive revival of neural networks and connectionism from the genuine integration of the latest advances in parallel processing enabled by coprocessors. Here the review of deep learning for classification in bioinformatics presenting examples of current research. Additionally, we discuss Deep learning and convolutional neural network working principles to provide a useful and comprehensive perspective, this paper presents three works DeepGen, SDAE, Enhance Feature learning in a brief description of each study. We believe that this review will provide valuable insights and serve as a starting point for the researcher to apply deep learning approaches for classification in Gene expression dataset.

https://doi.org/10.6084/m9.figshare.9411167.v1

Paper Title Spider Silk: an excellent candidate as toughest biomaterial
Author Name Arshdeep Kaur, Kamaljit Kaur
Author Email kamal_rajput04@yahoo.com
Country India

Abstract View PDF
Spider Silk: an excellent candidate as toughest biomaterial
Author: Arshdeep Kaur, Kamaljit Kaur

Spider silk is stupendous tough biomaterial on earth which consists almost entirely of large proteins. It is biocompatible, biodegradable, has high tensile potency, and flexibility. Spiders produce seven different types of silk for specific function. Dragline silk of the golden skin orb-weavers, Nephila clavipes and Araneus diadematus, are the strongest silk fibres, having high potency and high breaking power. Collecting natural spider silks from webs is a very complicated and prolonged process because of spider’s aggressive nature. Therefore, recombinant DNA technology is the most feasible solution to produce spider silk at large scale. Numbers of biomaterials are created using recombinant spider silk such as films, scaffolds, non-woven meshes, hydrogels etc. Spider silk contains molecules that are known to have antimicrobial and hypoallergenic properties. The complete biodegradability of the spider silk makes it more beneficial than that of man-made fibres.






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