Audrey Reinert,Luke S Snyder,Jieqiong Zhao et al.
Audrey Reinert et al.
We introduce a trans-disciplinary collaboration between researchers, healthcare practitioners, and community health partners in the Southwestern U.S. to enable improved management, response, and recovery to our current pandemic and for futu...
Computational Decision Support for the COVID-19 Healthcare Coalition [0.03%]
面向COVID-19医疗卫生联盟的计算决策支持
Andreas Tolk,Christopher Glazner,Joseph Ungerleider
Andreas Tolk
The COVID-19 Healthcare Coalition was established as a private sector-led response to the COVID-19 pandemic. Its purpose was to bring together healthcare organizations, technology firms, nonprofits, academia, and startups to preserve the he...
Eric C Chi
Eric C Chi
Modern technologies produce a deluge of complicated data. In neuroscience, for example, minimally invasive experimental methods can take recordings of large populations of neurons at high resolution under a multitude of conditions. Such dat...
M L Radhakrishnan
M L Radhakrishnan
Models are ubiquitous and uniting tools for computational scientists across disciplines. As a computational biophysical chemist, I apply multiple models to understand and predict how molecules recognize and interact with each other in compl...
Jim Brase,Nancy Campbell,Barbara Helland et al.
Jim Brase et al.
In March of 2020, recognizing the potential of High Performance Computing (HPC) to accelerate understanding and the pace of scientific discovery in the fight to stop COVID-19, the HPC community assembled the largest collection of worldwide ...
Early COVID-19 pandemic modeling: Three compartmental model case studies from Texas, USA [0.03%]
美国得克萨斯州新冠肺炎疫情早期阶段的传播模拟：三种模型的应用与分析
K A Pierce,E Ho,X Wang et al.
K A Pierce et al.
The novel coronavirus (SARS-CoV-2) emerged in late 2019 and spread globally in early 2020. Initial reports suggested the associated disease, COVID-19, produced rapid epidemic growth and caused high mortality. As the virus sparked local epid...
Xuanyi Lin,Michelle Simon,Zedong Peng et al.
Xuanyi Lin et al.
Scientific software can be used for decades and is constantly evolving. Recently, metamorphic testing, a property-based testing technique, has shown to be effective in testing scientific software, and the necessary properties are expressed ...
A PyMOL snippet library for Jupyter to boost researcher productivity [0.03%]
一个用于Jupyter的PyMOL代码片段库，可提高研究人员的生产力
Blaine H M Mooers
Blaine H M Mooers
Snippets - code templates one line or longer - boost researcher productivity because they are faster to insert than writing the code from scratch and because they reduce debugging time. Several extensions support the use of snippets in Jupy...
Revealing the mechanism of SARS-CoV-2 spike protein binding with ACE2 [0.03%]
揭示SARS-CoV-2刺突蛋白与ACE2结合的机制
Yixin Xie,Dan Du,Chitra B Karki et al.
Yixin Xie et al.
A large population in the world has been infected by COVID-19. Understanding the mechanisms of Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2) is important for management and treatment of the COVID-19. When it comes to the infe...
Fabio González-Arias,Tyler Reddy,John E Stone et al.
Fabio González-Arias et al.
Enveloped viruses, such as SARS-CoV-2, infect cells via fusion of their envelope with the host membrane. By employing molecular simulations to characterize viral envelopes, researchers can gain insights into key determinants of infection. H...