Articles - Bioinformatics and Biostatistics

Recent articles to be released shortly in Volume-7

Open Access Research Article Article ID: OJBB-5-111

Bioinformatic analysis of metal transportomes from Mycobacteria Sp.

10.17352/ojbb.000011

Published On: September 07, 2021 | Pages: 014 - 022

Author(s): Shanti Kumari Lunavat, Jai Satya Gowri Gogada, Surya Satyanarayana Singh and Raghu Gogada*

Mycobacterium is immovable induce aerobic, acid-fast gram-positive bacilli with high genomic content (59-66%). In the operon structure frequently establish for the genes of three molecular components: the ABC-binding protein, the membrane protein, and the substrate-binding protein, the rates of multidrug resistant and metal ions. The main objective of this study was t ... CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos Universite de Paris UW Libraries SJSU King Library SJSU King Library NUS Library McGill DET KGL BIBLiOTEK JCU Discovery Universidad De Lima WorldCat VU on WorldCat

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Open Access Review Article Article ID: OJBB-5-110

Soil Colloids, Types and their Properties: A review

10.17352/ojbb.000010

Published On: August 11, 2021 | Pages: 008 - 113

Author(s): Beamlaku Alemayehu* and Habtemariam Teshome

The colloidal complex of soils is the fine and supreme functional section of the organic and inorganic soil particles where most of the chemical properties take place. The inorganic or clay colloidal complex of soils occurs as too fine particles and organic colloidal complex happen in the form of humus particles. Soil colloidal fraction is the site of important proces ... CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos Universite de Paris UW Libraries SJSU King Library SJSU King Library NUS Library McGill DET KGL BIBLiOTEK JCU Discovery Universidad De Lima WorldCat VU on WorldCat

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Open Access Research Article Article ID: OJBB-5-109

Quantitative Structure-Activity Relationship (QSAR) study of a series of 2-thioarylalkyl benzimidazole derivatives by The Density Functional Theory (DFT)

10.17352/ojbb.000009

Published On: June 28, 2021 | Pages: 001 - 007

Author(s): Digré Ekozias Béké, Mawa Koné* and Fatogoma Diarrasouba

In this work, we used the quantum density theory (DFT), B3LYP / 6-311G (d, p) to establish a QSAR (Quantitative Structure Activity Relationships) model on a series of molecules derived from 2-thioarylalkyl-1H -Benzimidazole. This model is built with molecular descriptors and anthelmintic activities against the haemonchus contortus. The statistical indicators of this m ... CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos Universite de Paris UW Libraries SJSU King Library SJSU King Library NUS Library McGill DET KGL BIBLiOTEK JCU Discovery Universidad De Lima WorldCat VU on WorldCat

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Open Access Research Article Article ID: OJBB-4-108

Forecast number of new cases of Corona Virus Disease (COVID-19) in Ethiopia, using the case-based autoregressive integrated moving average model

10.17352/ojbb.000008

Published On: December 31, 2020 | Pages: 017 - 022

Author(s): Alemu Bekele Eticha*

After the initial outbreak in Ethiopia, the dispersion of SARS-CoV-2 is elevated number of cases. Literally, reported results for confirmed cases peaked in August 2020 and declined after that time, as evidenced by the contestd responses that have invested in pandemic control in the country. ARIMA models are a most widely used approaches to time series forecasting and ... CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos Universite de Paris UW Libraries SJSU King Library SJSU King Library NUS Library McGill DET KGL BIBLiOTEK JCU Discovery Universidad De Lima WorldCat VU on WorldCat

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Open Access Short Communication Article ID: OJBB-4-107

A Preliminary analysis of potential allergens in a GMO Rice: A Bioinformatics approach

10.17352/ojbb.000007

Published On: September 17, 2020 | Pages: 012 - 016

Author(s): Custer C Deocaris*, Rowena Grace Rumbaoa, Anna Mae Gavarra and Malona V Alinsug

This study uses an in silico approach in screening nascent allergens in GMO and conventionally-bred rice. The protein sequences analyzed were taken from published microarray data from GMO and conventionally-bred rice. To determine the proteins’ potential allergenicity, we used allergen databases and algorithms such as Allermatch and Algpred. Our analysis revealed the ... CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos Universite de Paris UW Libraries SJSU King Library SJSU King Library NUS Library McGill DET KGL BIBLiOTEK JCU Discovery Universidad De Lima WorldCat VU on WorldCat

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