Introducing Foldit Education Mode

Miller, Josh Aaron; Khatib, Firas; Hammond, Haley; Cooper, Seth; Horowitz, Scott

doi:10.1038/s41594-020-0485-6

Cited by 23 publications

(29 citation statements)

References 7 publications

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“…American Chemical Society issued an open Covid-19 antiviral candidate compounds dataset that may be useful for the treatment of coronavirus infected patients. The crowdsourced developed a Fold.it ( Miller et al, 2020 ) science game to design antiviral protein for fighting against COVID-19.…”

Section: Data Gathering Systems For Covid-19mentioning

confidence: 99%

Overview of current state of research on the application of artificial intelligence techniques for COVID-19

Kumar

Singh

Kaur

et al. 2021

PeerJ Computer Science

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Background Until now, there are still a limited number of resources available to predict and diagnose COVID-19 disease. The design of novel drug-drug interaction for COVID-19 patients is an open area of research. Also, the development of the COVID-19 rapid testing kits is still a challenging task. Methodology This review focuses on two prime challenges caused by urgent needs to effectively address the challenges of the COVID-19 pandemic, i.e., the development of COVID-19 classification tools and drug discovery models for COVID-19 infected patients with the help of artificial intelligence (AI) based techniques such as machine learning and deep learning models. Results In this paper, various AI-based techniques are studied and evaluated by the means of applying these techniques for the prediction and diagnosis of COVID-19 disease. This study provides recommendations for future research and facilitates knowledge collection and formation on the application of the AI techniques for dealing with the COVID-19 epidemic and its consequences. Conclusions The AI techniques can be an effective tool to tackle the epidemic caused by COVID-19. These may be utilized in four main fields such as prediction, diagnosis, drug design, and analyzing social implications for COVID-19 infected patients.

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Section: Data Gathering Systems For Covid-19mentioning

confidence: 99%

Overview of current state of research on the application of artificial intelligence techniques for COVID-19

Kumar

Singh

Kaur

et al. 2021

PeerJ Computer Science

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“…Foldit The game's mechanics are based on the dis covery of protein forms, and the data col lected by players is used in science research (Miller et al, 2020).…”

Section: Cooperative Competitivementioning

confidence: 99%

Bumbometer digital crowd game: collaboration through competition in entertainment events

Martins

Gomes

Conceição

et al. 2021

JIS

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The use of mobile devices, especially smartphones, is widespread across all social strata and age groups, helping to ensure faster access from anywhere, data collection, and more regular and frequent control to aid urban, environmental, and social management. In this scenario, the entertainment industry has benefited from this powerful individual technological resource in cultural and sporting events. In this way, this work presents a proposal for interaction and engagement in entertainment events in a more prosperous and more technological way, through the development of a collaborative and competitive mobile-web crowd game, intended for enhancing interaction between the crowd and as a unified group, whether physically co-located or online. The application, called Bumbometer, uses motion sensors during an interactive dynamic with the crowd applying concepts from Mobile Crowd Sensing and User eXperience. We conducted two experimental studies to evaluate the proposed technology, the first in a real scenario of a folk cultural festival and the second in a controlled environment, simulating an event considering a scenario in which users were geographically distant. The results indicate that people feel immersed and engaged during the interaction through the proposed game, which reinforces the statement that the game meets an increasingly growing need to use technologies to ensure more significant interaction and audience immersion at crowd entertainment events, a creative and far-reaching form.

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“…Recently, Miller et al produced a new version of Foldit, Foldit Education Mode, that not only leads students through the mechanics of the game but also supplements essential biochemistry concepts in a playful and friendly format that serve as just-in-time teachings to support this workflow module. 43 The current versions of Foldit work well on Mac and PCs, but Chromebooks remain a challenge; we recommend working with your campus IT to provide remote access (i.e., virtual box) or a computer lab to support students who may not have access to Windows or MacOS machines. When students are ready to reverse-translate the amino acid sequence of their protein variants to codon-optimized DNA oligos to take forward into Kunkel mutagenesis, instructors may choose to have students do this by hand, but we also provide an interactive, dynamic application on our Web site that performs this task (https://www.d2dcure.com/resources/ oligo_search/) Instructors and students can interface with resources as best fits their course's level and learning goals.…”

Section: Workflow Module Implementation Insights: Opportunities and C...mentioning

confidence: 99%

Development of a Broadly Accessible, Computationally Guided Biochemistry Course-Based Undergraduate Research Experience

et al. 2020

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Including undergraduate research in STEM education is a well-supported and growing high-impact practice that has been made much more scalable through integrating these experiences into the classroom. Here we describe a new biochemistry Course-based Undergraduate Research Experience (CURE) that follows a design-to-data workflow with a strong connection to a worldwide community of protein modeling software developers. Analysis of psychosocial developments in association with participating in this CURE from the first set of students formally participating in the course suggest a beneficial effect on attributes associated with STEM persistence. To increase successful propagation, the design of the CURE's curriculum, supporting learning materials, and instructor resources are provided to make it facile for faculty at any institution to join this network and implement the CURE. With this foundation, we expect student participation and the data set to continue to grow.

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Introducing Foldit Education Mode

Cited by 23 publications

References 7 publications

Overview of current state of research on the application of artificial intelligence techniques for COVID-19

Overview of current state of research on the application of artificial intelligence techniques for COVID-19

Bumbometer digital crowd game: collaboration through competition in entertainment events

Development of a Broadly Accessible, Computationally Guided Biochemistry Course-Based Undergraduate Research Experience

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