Deathdaily: A Python Package Index for predicting the number of daily COVID-19 deaths [0.03%]
基于Python包索引预测每日COVID-19死亡人数
Yoshiyasu Takefuji
Yoshiyasu Takefuji
This paper presents a new open-source program called deathdaily for predicting the number of daily COVID-19 deaths in the next 7 days. The predictions can be used by policymakers to determine whether current policies should be strengthened/...
Screening of potential inhibitors of COVID-19 with repurposing approach via molecular docking [0.03%]
基于分子对接的COVID-19药物重定位筛选研究
Negin Alizadehmohajer,Abtin Behmardi,Simin Najafgholian et al.
Negin Alizadehmohajer et al.
SARS-CoV-2 (COVID-19) is the causative organism for a pandemic disease with a high rate of infectivity and mortality. In this study, we aimed to assess the affinity between several available small molecule and proteins, including Abl kinase...
Generating novel molecule for target protein (SARS-CoV-2) using drug-target interaction based on graph neural network [0.03%]
基于药物靶点相互作用的图神经网络生成针对目标蛋白（SARS-COV-2）的新分子
Amit Ranjan,Shivansh Shukla,Deepanjan Datta et al.
Amit Ranjan et al.
The transmittable spread of viral coronavirus (SARS-CoV-2) has resulted in a significant rise in global mortality. Due to lack of effective treatment, our aim is to generate a highly potent active molecule that can bind with the protein str...
Arvind Kumar Sinha,Nishant Namdev,Pradeep Shende
Arvind Kumar Sinha
The novel coronavirus SARS-Cov-2 is a pandemic condition and poses a massive menace to health. The governments of different countries and their various prohibitory steps to restrict the virus's expanse have changed individuals' communicatio...
T-cell epitope-based vaccine designing against Orthohantavirus: a causative agent of deadly cardio-pulmonary disease [0.03%]
针对正汉坦病毒的T细胞表位疫苗设计：一种致死性心肺疾病病原体
Amit Joshi,Nillohit Mitra Ray,Joginder Singh et al.
Amit Joshi et al.
Orthohantavirus, a zoonotic virus responsible for causing human cardio-pulmonary disease, is proven to be a fatal disease. Due to the paucity of regimens to cure the disease and efficient management to eradicate this deadly virus, there is ...
Prediction of suitable T and B cell epitopes for eliciting immunogenic response against SARS-CoV-2 and its mutant [0.03%]
预测可引发针对SARS-CoV-2及其突变株免疫反应的T细胞和B细胞抗原表位
Vidhu Agarwal,Akhilesh Tiwari,Pritish Varadwaj
Vidhu Agarwal
Spike glycoprotein of SARS-CoV-2 is mainly responsible for the recognition and membrane fusion within the host and this protein has an ability to mutate. Hence, T cell and B cell epitopes were derived from the spike glycoprotein sequence of...
In-silico design of a multi-epitope for developing sero-diagnosis detection of SARS-CoV-2 using spike glycoprotein and nucleocapsid antigens [0.03%]
利用刺突糖蛋白和核衣壳抗原开发SARS-CoV-2血清诊断检测的多表位的虚拟设计
Amirreza Javadi Mamaghani,Zahra Arab-Mazar,Siamak Heidarzadeh et al.
Amirreza Javadi Mamaghani et al.
COVID-19 is a pandemic disease caused by novel corona virus, SARS-CoV-2, initially originated from China. In response to this serious life-threatening disease, designing and developing more accurate and sensitive tests are crucial. The aim ...
A machine learning regression model for the screening and design of potential SARS-CoV-2 protease inhibitors [0.03%]
用于筛选和设计潜在SARS-CoV-2蛋白酶抑制剂的机器学习回归模型
Gabriela Ilona B Janairo,Derrick Ethelbhert C Yu,Jose Isagani B Janairo
Gabriela Ilona B Janairo
The widespread infection caused by the 2019 novel corona virus (SARS-CoV-2) has initiated global efforts to search for antiviral agents. Drug discovery is the first step in the development of commercially viable pharmaceutical products to d...
Community and topic modeling for infectious disease clinical trial recommendation [0.03%]
传染病临床试验推荐的社区和主题模型方法研究
Magdalyn E Elkin,Xingquan Zhu
Magdalyn E Elkin
Clinical trials are crucial for the advancement of treatment and knowledge within the medical community. Although the ClinicalTrials.gov initiative has resulted in a rich source of information for clinical trial research, only a handful of ...
COVID-19 Community Temporal Visualizer: a new methodology for the network-based analysis and visualization of COVID-19 data [0.03%]
基于网络的COVID-19数据的分析和可视化的新型方法：社区时间可视化器
Marianna Milano,Chiara Zucco,Mario Cannataro
Marianna Milano
Understanding the evolution of the spread of the COVID-19 pandemic requires the analysis of several data at the spatial and temporal levels. Here, we present a new network-based methodology to analyze COVID-19 data measures containing spati...