scholarly journals Computational Approaches for Revealing the Structure of Membrane Transporters: Case Study on Bilitranslocase

2017 ◽  
Vol 15 ◽  
pp. 232-242 ◽  
Author(s):  
Katja Venko ◽  
A. Roy Choudhury ◽  
Marjana Novič
Keyword(s):  
Membrane Transporters ◽  
Computational Approaches

scholarly journals Coding as Literacy in Preschool: A Case Study

2021 ◽  
Vol 11 (5) ◽  
pp. 198
Author(s):  
Ana Francisca Monteiro ◽  
Maribel Miranda-Pinto ◽  
António José Osório
Keyword(s):  
Elementary Education ◽  
Developmentally Appropriate ◽  
Computational Thinking ◽  
School Subject ◽  
New Literacy ◽  
Computational Approaches ◽  
Knowledge Domains ◽  
And Robotics ◽  
Initial Framework

Coding is increasingly recognized as a new literacy that should be encouraged at a young age. This understanding has recontextualized computer science as a compulsory school subject and has informed several developmentally appropriate approaches to computation, including for preschool children. This study focuses on the introduction of three approaches to computation in preschool (3–6 years), specifically computational thinking, programming, and robotics, from a cross-curricular perspective. This paper presents preliminary findings from one of the case studies currently being developed as part of project KML II—Laboratory of Technologies and Learning of Programming and Robotics for Preschool and Elementary School. The purpose of the KML II project is to characterize how approaches to computation can be integrated into preschool and elementary education, across different knowledge domains. The conclusions point to “expression and communication” as an initial framework for computational approaches in preschool, but also to multidisciplinary and more creative methodological activities that offer greater scope for the development of digital and computational competences, as well as for personal and social development.

scholarly journals An Overview of Computational Approaches in Structure Based Drug Design

1970 ◽  
Vol 2 (1) ◽  
pp. 53-61 ◽  
Author(s):  
Dipali Singh ◽  
Anushree Tripathi ◽  
Gautam Kumar
Keyword(s):  
Drug Design ◽  
Computer Aided Drug Design ◽  
Structure Based Drug Design ◽  
Computational Approaches ◽  
Ras Protein ◽  
Design Structure ◽  
Drug Lead ◽  
Computer Aided ◽  
Drug Designing

Drug design is a costly and difficult process. Drug must fulfill several criteria of being active, nontoxic and bioavailable. The conventional way of synthesizing drugs is a monotonous process. But computer aided drug design is a proficient way to overcome the tedious process of conventional method. Drugs can be designed computationally by structure or target based drug designing (SBDD). This review summarizes the methods of structure based drug design, usage of related softwares and a case study that explores to find a suitable drug (lead) molecule for the mutated state of H-Ras protein in order to prevent complex formation with Raf protein.Keywords: computer aided drug design; structure based drug design; Ras-proteinDOI: http://dx.doi.org/10.3126/njb.v2i1.5680Nepal Journal of Biotechnology Jan.2012, Vol.2(1): 53-61

scholarly journals Prediction of the stability of proteins by computational approaches: a case report

2018 ◽  
Author(s):  
Bernardina Scafuri ◽  
Angelo Facchiano ◽  
Anna Marabotti
Keyword(s):  
Case Report ◽  
Protein Stability ◽  
Protein Sequence ◽  
Genotypic Variation ◽  
Missense Mutations ◽  
Computational Approaches ◽  
The Past ◽  
The Stability ◽  
The Impact

The prediction of the stability of a protein is a very important issue in computational biology. Indeed, missense mutations are frequently associated to a change in protein stability, leading usually to destabilization, unfolding and aggregation. However, the direct measurement of the effect of mutations on proteins' stability is often impaired by the large number of mutations that can affect a protein sequence. Therefore, predicting the impact of a mutation on this feature is of remarkable interest to infer the phenotypic effects associated to a genotypic variation. For this reason, many different predictors of the effects of mutations on protein stability have been developed during the past years, and they are available online as Web servers. In the present work, we applied several tools based on different approaches to predict the stability of three proteins involved in the different forms of the rare disease galactosemia, and we compare their different results, describing also the problems that we had to face, the solutions that we have adopted and the lessons learnt from this case study.

scholarly journals Automated extraction of revision events from keystroke data

2021 ◽  
Author(s):  
Rianne Conijn ◽  
Emily Dux Speltz ◽  
Evgeny Chukharev-Hudilainen
Keyword(s):  
Writing Process ◽  
High Accuracy ◽  
Computational Approach ◽  
Automatic Extraction ◽  
Manual Annotation ◽  
Automated Extraction ◽  
Computational Approaches ◽  
Process Dynamics ◽  
Writing Task

AbstractRevision plays an important role in writing, and as revisions break down the linearity of the writing process, they are crucial in describing writing process dynamics. Keystroke logging and analysis have been used to identify revisions made during writing. Previous approaches include the manual annotation of revisions, building nonlinear S-notations, and the automated extraction of backspace keypresses. However, these approaches are time-intensive, vulnerable to construct, or restricted. Therefore, this article presents a computational approach to the automatic extraction of full revision events from keystroke logs, including both insertions and deletions, as well as the characters typed to replace the deleted text. Within this approach, revision candidates are first automatically extracted, which allows for a simplified manual annotation of revision events. Second, machine learning is used to automatically detect revision events. For this, 7120 revision events were manually annotated in a dataset of keystrokes obtained from 65 students conducting a writing task. The results showed that revision events could be automatically predicted with a relatively high accuracy. In addition, a case study proved that this approach could be easily applied to a new dataset. To conclude, computational approaches can be beneficial in providing automated insights into revisions in writing.

scholarly journals We are what we click: Understanding time and content-based habits of online news readers

2020 ◽  
pp. 146144482093322
Author(s):  
Mykola Makhortykh ◽  
Claes de Vreese ◽  
Natali Helberger ◽  
Jaron Harambam ◽  
Dimitrios Bountouridis
Keyword(s):  
Clustering Analysis ◽  
Online News ◽  
User Interactions ◽  
Clickstream Data ◽  
Computational Approaches ◽  
News Consumption ◽  
Limited Variation ◽  
Different Types ◽  
Average Distribution

The article contributes both conceptually and methodologically to the study of online news consumption by introducing new approaches to measuring user information behaviour and proposing a typology of users based on their click behaviour. Using as a case study two online outlets of large national newspapers, it employs computational approaches to detect patterns in time- and content-based user interactions with news content based on clickstream data. The analysis of interactions detects several distinct timelines of news consumption and scrutinises how users switch between news topics during reading sessions. Using clustering analysis, the article then identifies several types of news readers (e.g. samplers, gourmets) and examines their news diets. The results point out the limited variation in topical composition of the news diets between different types of readers and the tendency of these diets to align with the news supply patterns (i.e. the average distribution of topics covered by the outlet).

Using performance sociograms to investigate inter-performer relationships in music ensembles

2021 ◽  
pp. 155-161
Author(s):  
Christoph Seibert
Keyword(s):  
Quantitative Data ◽  
Qualitative Content Analysis ◽  
Contemporary Music ◽  
Methodological Approach ◽  
Future Research ◽  
Computational Approaches ◽  
Promising Tool ◽  
Ensemble Performance ◽  
Music Ensembles

Performance sociograms provide a means with which to visualize and investigate relationships between musicians during ensemble performance as they are subjectively experienced. This chapter presents a case study with a contemporary music ensemble, exemplifying a methodological approach that provides insights on a phenomenological level by minimally affecting the performance itself. Relationships between co-performers as experienced by individuals in three performances were assessed via questionnaires, interviews, and self-created sociograms. Performance sociograms were also generated based on a qualitative content analysis of these data. Each performance sociogram provides a view on the respective performance situation from an individual musician’s perspective. Comparing sociograms reveals insights into individual differences and developments from concert to concert. Enabling integration of qualitative and quantitative data, which can be combined with a variety of approaches from ethnography to computational approaches, sociograms are a promising tool for future research into understanding relationships between players in music ensembles.

Connected Histories of the BBC: Opening up the BBC Oral History Archive to the Digital Domain

2022 ◽  
Vol 15 (1) ◽  
pp. 1-16
Author(s):  
Anna-Maria Sichani ◽  
David Hendy
Keyword(s):  
Oral History ◽  
Web Design ◽  
Interesting Case ◽  
Legal Issues ◽  
Public Realm ◽  
Computational Approaches ◽  
The Public ◽  
Interdisciplinary Project ◽  
Opening Up

This article describes the computational and data-related challenges of the “Connected Histories of the BBC” project, an interdisciplinary project aiming to bring into the public realm some of the hidden treasures of the BBC's own Oral History Archive through the creation of an openly accessible, fully searchable and interconnected digital catalogue of this archive. This project stands as an interesting case study on the tensions between “computational” and “archival”, by critically designing and employing computational approaches for an historical, complex Oral History collection of scattered analogue records of various forms with an archival pre-history. From data acquisition, modeling, structuring and enhancement, metadata, data analysis procedures, to web design and legal issues, this paper discusses the various computational challenges, processes and decisions made during this project, while showcasing the principles of (re)usability, accessibility, and collaboration throughout its course.

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