IN SILICO LAB: AN INNOVATIVE USE OF BIOINFORMATICS TOOL FOR MOLECULAR BIOLOGY TEACHING AND LEARNING

2018 ◽  
Author(s):  
Rosanna del Gaudio
Keyword(s):  
Molecular Biology ◽  
In Silico ◽  
Teaching And Learning ◽  
Bioinformatics Tool ◽  
Biology Teaching

scholarly journals A proposal of collaborative education for biochemistry and cell biology teaching

2015 ◽  
Vol 13 ◽  
pp. 30
Author(s):  
A. A. Souza-Júnior ◽  
A. P. Silva ◽  
T. A. Silva ◽  
G. P.V. Andrade
Keyword(s):  
Cell Biology ◽  
Teaching And Learning ◽  
Digital Tools ◽  
Student Interest ◽  
Creative Development ◽  
Biology Teaching ◽  
Video Lectures ◽  
The World ◽  
Information And Communication ◽  
Collaborative Education

INTRODUCTION: Currently students grow up in a world of digital tools that allow you to connect instantly with the world. At the same time, teachers face several challenges to increase student interest and learning efficiency. One such challenge is the pedagogical commitment of the density of biochemistry and cell biology contents, producing a conflict scenario, between meeting content and maintain the class quality. OBJECTIVES: From this perspective, this study aimed to evaluate the learning biochemistry and cell biology contents in high school classes of IFRN, using collaborative and digital tools in the Moodle. MATERIAL AND METHODS: The contents were offered using various tools such as video lectures, forums, questionnaires, portfolios, glossaries and electronic books. Then these tools were evaluated using an electronic form.  In addition to the tools, we evaluated the platform interaction, the performance of activities and the content gamification. RESULTS: The quantitative results revealed directly proportional relationship of the interaction of Moodle with the performance of activities. The content gamification was also assessed positively, with 61% of students considered good, very good or excellent. The best evaluated tools were video lectures, with 31% preference, and questionnaires, with 24%; followed by electronic book, with 10%, and portfolio, with 5.5%. The other tools totaled 30% of the preference. Qualitative results revealed an educational gain of content, because the student lived the experience of teaching and learning collaboratively. In addition, these tools decreased conflicts between content and schedule. CONCLUSION: Thus, the use of information and communication technology (ICT) in a collaborative learning provides relevant results, bringing the reality of the world connected to the classroom. In addition, it assists in defining the content and creative development of a strategy for the construction of the concepts applied to biochemistry and cell biology teaching.

scholarly journals Common Origins of Diverse Misconceptions: Cognitive Principles and the Development of Biology Thinking

2012 ◽  
Vol 11 (3) ◽  
pp. 209-215 ◽  
Author(s):  
John D. Coley ◽  
Kimberly D. Tanner
Keyword(s):  
Biological Sciences ◽  
Cognitive Psychology ◽  
Teaching And Learning ◽  
Biology Teaching ◽  
Biological Analysis ◽  
The World ◽  
Cognitive Principles ◽  
Biological Concepts

Many ideas in the biological sciences seem especially difficult to understand, learn, and teach successfully. Our goal in this feature is to explore how these difficulties may stem not from the complexity or opacity of the concepts themselves, but from the fact that they may clash with informal, intuitive, and deeply held ways of understanding the world that have been studied for decades by psychologists. We give a brief overview of the field of developmental cognitive psychology. Then, in each of the following sections, we present a number of common challenges faced by students in the biological sciences. These may be in the form of misconceptions, biases, or simply concepts that are difficult to learn and teach, and they occur at all levels of biological analysis (molecular, cellular, organismal, population, and ecosystem). We then introduce the notion of a cognitive construal and discuss specific examples of how these cognitive principles may explain what makes some misconceptions so alluring and some biological concepts so challenging for undergraduates. We will argue that seemingly unrelated misconceptions may have common origins in a single underlying cognitive construal. These ideas emerge from our own ongoing cross-disciplinary conversation, and we think that expanding this conversation to include other biological scientists and educators, as well as other cognitive scientists, could have significant utility in improving biology teaching and learning.

scholarly journals ProClaT, a new bioinformatics tool for in silico protein reclassification: case study of DraB, a protein coded from the draTGB operon in Azospirillum brasilense

2016 ◽  
Vol 17 (S18) ◽  
Author(s):  
Elisa Terumi Rubel ◽  
Roberto Tadeu Raittz ◽  
Nilson Antonio da Rocha Coimbra ◽  
Michelly Alves Coutinho Gehlen ◽  
Fábio de Oliveira Pedrosa
Keyword(s):  
In Silico ◽  
Azospirillum Brasilense ◽  
Bioinformatics Tool

scholarly journals Bacterial Communities in Polluted Seabed Sediments: A Molecular Biology Assay in Leghorn Harbor

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Carolina Chiellini ◽  
Renato Iannelli ◽  
Franco Verni ◽  
Giulio Petroni
Keyword(s):  
Phylogenetic Analysis ◽  
Molecular Biology ◽  
16S Rrna ◽  
Bacterial Communities ◽  
In Silico ◽  
Pollution Levels ◽  
High Pollution ◽  
Seabed Sediments ◽  
Bacterial Groups ◽  
Different Levels

Seabed sediments of commercial ports are often characterized by high pollution levels. Differences in number and distribution of bacteria in such areas can be related to distribution of pollutants in the port and to sediment conditions. In this study, the bacterial communities of five sites from Leghorn Harbor seabed were characterized, and the main bacterial groups were identified. T-RFLP was used for all samples; two 16S rRNA libraries andin silicodigestion of clones were used to identify fingerprint profiles. Library data, phylogenetic analysis, and T-RFLP coupled within silicodigestion of the obtained sequences evidenced the dominance ofProteobacteriaand the high percentage ofBacteroidetesin all sites. The approach highlighted similar bacterial communities between samples coming from the five sites, suggesting a modest differentiation among bacterial communities of different harbor seabed sediments and hence the capacity of bacterial communities to adapt to different levels and types of pollution.

scholarly journals Open access in silico tools to predict the ADMET profiling and PASS (Prediction of Activity Spectra for Substances of Bioactive compounds of Garlic (Allium sativum L.)

2021 ◽  
Author(s):  
Ivan Vito Ferrari
Keyword(s):  
Open Access ◽  
Bioactive Compounds ◽  
In Silico ◽  
Allium Sativum ◽  
Bioactive Components ◽  
Bioinformatics Tool ◽  
Prediction Tools ◽  
Open Access Database ◽  
Database Servers ◽  
In Silico Tools

Background: Garlic (Allium sativum L.) is a common spice with many health benefits, mainly due to its diverse bioactive compounds, (see below) such as organic sulphides, saponins, phenolic compounds, and polysaccharides. Several studies have demonstrated its functions such as anti-inflammatory, antibacterial, and antiviral, antioxidant, cardiovascular protective and anticancer property. In this work we have investigated the main bioactive components of garlic through a bioinformatics approach. Indeed, we are in an era of bioinformatics where we can predict data in the fields of medicine. Approaches with open access in silico tools have revolutionized disease management due to early prediction of the absorption, distribution, metabolism, excretion, and toxicity (ADMET) profiles of the chemically designed and eco-friendly next-generation drugs. Methods: This paper encompasses the fundamental functions of open access in silico prediction tools, as PASS database (Prediction of Activity Spectra for Substances) that it estimates the probable biological activity profiles for compounds. This paper also aims to help support new researchers in the field of drug design and to investigate best bioactive compounds in garlic. Results: Screening through each of pharmacokinetic criteria resulted in identification of Garlic compounds that adhere to all the ADMET properties. Conclusions: It was established an open-access database (PASS database, available bioinformatics tool SwissADME, PreADMET pkCSM database) servers were employed to determine the ADMET (metabolism, distribution, excretion, absorption, and toxicity) attributes of garlic molecules and to enable identification of promising molecules that follow ADMET properties.

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