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We introduce a comprehensive screening platform for the COVID-19 (a.k.a., SARS-CoV-2) pneumonia. The proposed AI-based system works on chest x-ray (CXR) images to predict whether a patient is infected with the COVID-19 disease. Although the…

With the goal of designing novel inhibitors for SARS-CoV-1 and SARS-CoV-2, we propose the general molecule optimization framework, Molecular Neural Assay Search (MONAS), consisting of three components: a property predictor which identifies…

Machine Learning · Computer Science 2021-02-01 Timothy Atkinson , Saeed Saremi , Faustino Gomez , Jonathan Masci

The COVID-19 pandemic caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has spurred unprecedented and concerted worldwide research to curtail and eradicate this pathogen. SARS-CoV-2 has four structural proteins:…

Biological Physics · Physics 2022-09-26 Siyu Li , Roya Zandi

Coronavirus disease 2019 (COVID-19) is an ongoing pandemic infectious disease outbreak that has significantly harmed and threatened the health and lives of millions or even billions of people. COVID-19 has also negatively impacted the…

Quantitative Methods · Quantitative Biology 2020-04-14 Jirong Yi , Raghu Mudumbai , Weiyu Xu

Protein (receptor)--ligand interaction prediction is a critical component in computer-aided drug design, significantly influencing molecular docking and virtual screening processes. Despite the development of numerous scoring functions in…

Biomolecules · Quantitative Biology 2024-01-22 Haoyu Lin , Shiwei Wang , Jintao Zhu , Yibo Li , Jianfeng Pei , Luhua Lai

The availability of SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) virus data post-COVID has reached exponentially to an enormous magnitude, opening research doors to analyze its behavior. Various studies are conducted by…

Neural and Evolutionary Computing · Computer Science 2025-01-28 Taslim Murad , Prakash Chourasia , Sarwan Ali , Imdad Ullah Khan , Murray Patterson

The novelty of new human coronavirus COVID-19/SARS-CoV-2 and the lack of effective drugs and vaccines gave rise to a wide variety of strategies employed to fight this worldwide pandemic. Many of these strategies rely on the repositioning of…

Molecular Networks · Quantitative Biology 2021-06-09 Giulia Fiscon , Federica Conte , Lorenzo Farina , Paola Paci

The massive amount of genomic data appearing for SARS-CoV-2 since the beginning of the COVID-19 pandemic has challenged traditional methods for studying its dynamics. As a result, new methods such as Pangolin, which can scale to the…

Quantitative Methods · Quantitative Biology 2022-11-16 Prakash Chourasia , Sarwan Ali , Simone Ciccolella , Gianluca Della Vedova , Murray Patterson

Diagnosis of COVID-19 is necessary to prevent and control the disease. Deep learning methods have been considered a fast and accurate method. In this paper, by the parallel combination of three well-known pre-trained networks, we attempted…

Image and Video Processing · Electrical Eng. & Systems 2022-08-17 Faezeh Amouzegar , Hamid Mirvaziri , Mostafa Ghazizadeh-Ahsaee , Mahdi Shariatzadeh

Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has a worldwide devastating effect. The understanding of evolution and transmission of SARS-CoV-2 is of paramount importance for the…

Quantitative Methods · Quantitative Biology 2021-01-01 Yuta Hozumi , Rui Wang , Changchuan Yin , Guo-Wei Wei

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the strain of coronavirus that causes coronavirus disease 2019 (COVID-19), the respiratory illness responsible for the COVID-19 pandemic. Currently there is no known vaccine or…

Biomolecules · Quantitative Biology 2020-06-29 Emilio Angelina , Sebastian Andujar , Oscar Parravicini , Daniel Enriz , Nelida Peruchena

The COVID-19 crisis called for rapid reaction from all the fields of biomedical research. Traditional drug development involves time consuming pipelines that conflict with the urgence of identifying effective therapies during a health and…

Genomics · Quantitative Biology 2020-05-06 Francesco Napolitano , Gennaro Gambardella , Diego Carrella , Xin Gao , Diego di Bernardo

Tremendous effort has been given to the development of diagnostic tests, preventive vaccines, and therapeutic medicines for coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Much of…

Genomics · Quantitative Biology 2020-04-30 Rui Wang , Yuta Hozumi , Changchuan Yin , Guo-Wei Wei

The outbreak of COVID-19 disease caused more than 100,000 deaths so far in the USA alone. It is necessary to conduct an initial screening of patients with the symptoms of COVID-19 disease to control the spread of the disease. However, it is…

Image and Video Processing · Electrical Eng. & Systems 2020-10-30 Md Manjurul Ahsan , Kishor Datta Gupta , Mohammad Maminur Islam , Sajib Sen , Md. Lutfar Rahman , Mohammad Shakhawat Hossain

Motivation: Protein-ligand affinity prediction is an important part of structure-based drug design. It includes molecular docking and affinity prediction. Although molecular dynamics can predict affinity with high accuracy at present, it is…

Biomolecules · Quantitative Biology 2021-05-12 Yeji Wang , Shuo Wu , Yanwen Duan , Yong Huang

Machine Learning (ML) for Ligand Based Virtual Screening (LB-VS) is an important in-silico tool for discovering new drugs in a faster and cost-effective manner, especially for emerging diseases such as COVID-19. In this paper, we propose a…

This paper addresses the new problem of automated screening of coronavirus disease 2019 (COVID-19) based on chest X-rays, which is urgently demanded toward fast stopping the pandemic. However, robust and accurate screening of COVID-19 from…

Image and Video Processing · Electrical Eng. & Systems 2020-05-22 Tianyang Li , Zhongyi Han , Benzheng Wei , Yuanjie Zheng , Yanfei Hong , Jinyu Cong

Coronavirus Disease-2019 (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. It was first identified in Wuhan, China, and has since spread causing a global pandemic. Various studies have been performed to understand the…

The black-box nature of machine learning models hinders the deployment of some high-accuracy models in medical diagnosis. It is risky to put one's life in the hands of models that medical researchers do not fully understand. However,…

Machine Learning · Computer Science 2021-10-22 Han Wu , Wenjie Ruan , Jiangtao Wang , Dingchang Zheng , Bei Liu , Yayuan Gen , Xiangfei Chai , Jian Chen , Kunwei Li , Shaolin Li , Sumi Helal

The great challenge for the humanity of the year 2020 is the fight against COVID-19. The whole world is making a huge effort to find an effective vaccine with purpose to protect people not yet infected. The alternative solution remains…

Image and Video Processing · Electrical Eng. & Systems 2020-12-03 Mario Manzo , Simone Pellino
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