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Drug discovery projects entail cycles of design, synthesis, and testing that yield a series of chemically related small molecules whose properties, such as binding affinity to a given target protein, are progressively tailored to a…

Machine Learning · Computer Science 2020-02-10 Paul Maragakis , Hunter Nisonoff , Brian Cole , David E. Shaw

The ongoing global pandemic of Coronavirus Disease 2019 (COVID-19) poses a serious threat to public health and the economy. Rapid and accurate diagnosis of COVID-19 is crucial to prevent the further spread of the disease and reduce its…

Image and Video Processing · Electrical Eng. & Systems 2021-08-31 Jun Shi , Huite Yi , Shulan Ruan , Zhaohui Wang , Xiaoyu Hao , Hong An , Wei Wei

Genome-wide epistasis analysis is a powerful tool to infer gene interactions, which can guide drug and vaccine development and lead to a deeper understanding of microbial pathogenesis. We have considered all complete SARS-CoV-2 genomes…

Quantitative Methods · Quantitative Biology 2022-05-18 Hong-Li Zeng , Vito Dichio , Edwin Rodríguez Horta , Kaisa Thorell , Erik Aurell

Coronavirus Disease of 2019 (COVID-19) created dire consequences globally and triggered an intense scientific effort from different domains. The resulting publications created a huge text collection in which finding the studies related to a…

Information Retrieval · Computer Science 2020-10-14 Abdullatif Köksal , Hilal Dönmez , Rıza Özçelik , Elif Ozkirimli , Arzucan Özgür

COVID-19 is an infection caused by SARS-CoV-2 (Severe Acute Respiratory Syndrome coronavirus 2), which has caused a global outbreak. Current research efforts are focused on the understanding of the molecular mechanisms involved in…

In this worldwide spread of SARS-CoV-2 (COVID-19) infection, it is of utmost importance to detect the disease at an early stage especially in the hot spots of this epidemic. There are more than 110 Million infected cases on the globe,…

Image and Video Processing · Electrical Eng. & Systems 2021-02-23 Sohail Iqbal , H. Fareed Ahmed , Talha Qaiser , Muhammad Imran Qureshi , Nasir Rajpoot

COVID-19 has claimed more 1 million lives and resulted in over 40 million infections. There is an urgent need to identify drugs that can inhibit SARS-CoV-2. In response, the DOE recently established the Medical Therapeutics project as part…

Quantitative lung measures derived from computed tomography (CT) have been demonstrated to improve prognostication in coronavirus disease (COVID-19) patients, but are not part of the clinical routine since required manual segmentation of…

The novel coronavirus (SARS-CoV-2) which causes COVID-19 is an ongoing pandemic. There are ongoing studies with up to hundreds of publications uploaded to databases daily. We are exploring the use-case of artificial intelligence and natural…

Information Retrieval · Computer Science 2021-02-16 Yutong Jin , Jie Li , Xinyu Wang , Peiyao Li , Jinjiang Guo , Junfeng Wu , Dawei Leng , Lurong Pan

Coronavirus Disease 2019 (COVID-19) is a rapidly emerging respiratory disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Due to the rapid human-to-human transmission of SARS-CoV-2, many healthcare systems…

Machine Learning · Computer Science 2020-12-01 Patrick Schwab , August DuMont Schütte , Benedikt Dietz , Stefan Bauer

Timely and rapid diagnoses are core to informing on optimum interventions that curb the spread of COVID-19. The use of medical images such as chest X-rays and CTs has been advocated to supplement the Reverse-Transcription Polymerase Chain…

Image and Video Processing · Electrical Eng. & Systems 2023-05-31 Ogechukwu Ukwandu , Hanan Hindy , Elochukwu Ukwandu

Early detection and characterization of coronavirus disease (COVID-19), caused by SARS-CoV-2, remain critical for effective clinical response and public-health planning. The global availability of large-scale viral sequence data presents…

Machine Learning · Computer Science 2025-12-12 Sarwan Ali , Taslim Murad

With the rapid global spread of COVID-19, more and more data related to this virus is becoming available, including genomic sequence data. The total number of genomic sequences that are publicly available on platforms such as GISAID is…

Genomics · Quantitative Biology 2021-11-16 Sarwan Ali , Murray Patterson

The exploration of novel chemical spaces is one of the most important tasks of cheminformatics when supporting the drug discovery process. Properly designed and trained deep neural networks can provide a viable alternative to brute-force de…

Machine Learning · Computer Science 2018-01-09 Peter Ertl , Richard Lewis , Eric Martin , Valery Polyakov

The recent outbreak of SARS COV-2 gave us a unique opportunity to study for a non interventional and sustainable AI solution. Lung disease remains a major healthcare challenge with high morbidity and mortality worldwide. The predominant…

Image and Video Processing · Electrical Eng. & Systems 2021-01-14 Razib Mustafiz , Khaled Mohsin

With the huge spike in the COVID-19 cases across the globe and reverse transcriptase-polymerase chain reaction (RT-PCR) test remains a key component for rapid and accurate detection of severe acute respiratory syndrome coronavirus 2…

Machine Learning · Computer Science 2021-10-20 Satvik Tripathi

The COVID-19 pandemic has presented many challenges that have spurred biotechnological research to address specific problems. Diagnostics is one area where biotechnology has been critical. Diagnostic tests play a vital role in managing a…

The SARS-CoV-2 RNA pseudoknot is a promising target for antiviral intervention, as it regulates the efficiency of $-$1 programmed ribosomal frameshifting ($-$1 PRF), a mechanism that is essential for viral protein synthesis. The pseudoknot…

Biological Physics · Physics 2026-05-05 Mariia Ivonina , Jakub Rydzewski

Despite the huge effort to contain the infection, the novel SARS-CoV-2 coronavirus has rapidly become pandemics, mainly due to its extremely high human-to-human transmission capability, and a surprisingly high viral charge of symptom-less…

Biomolecules · Quantitative Biology 2021-06-10 Mattia Miotto , Lorenzo Di Rienzo , Leonardo Bò , Alberto Boffi , Giancarlo Ruocco , Edoardo Milanetti

Recent work has reported that AI classifiers trained on audio recordings can accurately predict severe acute respiratory syndrome coronavirus 2 (SARSCoV2) infection status. Here, we undertake a large scale study of audio-based deep learning…