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Related papers: Drug Repurposing For SARS-COV-2 Using Molecular Do…

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Wastewater data can be very useful for epidemic control during a disease outbreak and proper synthesis of different sources of information can be integrated towards an alerting system, that can be used for decision support. Wastewater data…

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…

Pattern detection and string matching are fundamental problems in computer science and the accelerated expansion of bioinformatics and computational biology have made them a core topic for both disciplines. The SARS-CoV-2 pandemic has made…

Genomics · Quantitative Biology 2025-05-14 Konstantinos Xylogiannopoulos

Motivation: Drug repurposing is a viable solution for reducing the time and cost associated with drug development. However, thus far, the proposed drug repurposing approaches still need to meet expectations. Therefore, it is crucial to…

Machine Learning · Computer Science 2024-05-21 Ali Gharizadeh , Karim Abbasi , Amin Ghareyazi , Mohammad R. K. Mofrad , Hamid R. Rabiee

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

Docking is a crucial component in drug discovery aimed at predicting the binding conformation and affinity between small molecules and target proteins. ML-based docking has recently emerged as a prominent approach, outpacing traditional…

Biomolecules · Quantitative Biology 2024-06-11 Thomas Le Menestrel , Manuel Rivas

Background: Network propagation has been widely used for nearly 20 years to predict gene functions and phenotypes. Despite the popularity of this approach, little attention has been paid to the question of provenance tracing in this…

Drug combinations play an important role in therapeutics due to its better efficacy and reduced toxicity. Recent approaches have applied machine learning to identify synergistic combinations for cancer, but they are not applicable to new…

Biomolecules · Quantitative Biology 2020-12-01 Wengong Jin , Regina Barzilay , Tommi Jaakkola

The world has faced the devastating outbreak of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), or COVID-19, in 2020. Research in the subject matter was fast-tracked to such a point that scientists were struggling to keep up…

Information Retrieval · Computer Science 2020-09-03 Maksim Ekin Eren , Nick Solovyev , Edward Raff , Charles Nicholas , Ben Johnson

The rapid spread of the COVID-19 pandemic has resulted in an unprecedented amount of sequence data of the SARS-CoV-2 genome -- millions of sequences and counting. This amount of data, while being orders of magnitude beyond the capacity of…

Genomics · Quantitative Biology 2022-07-20 Sarwan Ali , Bikram Sahoo , Alexander Zelikovskiy , Pin-Yu Chen , Murray Patterson

Accelerating molecular docking -- the process of predicting how molecules bind to protein targets -- could boost small-molecule drug discovery and revolutionize medicine. Unfortunately, current molecular docking tools are too slow to screen…

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

Despite decades of advancements in automated ligand screening, large-scale drug discovery remains resource-intensive and requires post-processing hit selection, a step where chemists manually select a few promising molecules based on their…

Machine Learning · Computer Science 2025-03-24 Tai Dang , Long-Hung Pham , Sang T. Truong , Ari Glenn , Wendy Nguyen , Edward A. Pham , Jeffrey S. Glenn , Sanmi Koyejo , Thang Luong

With the rapid spread of the novel coronavirus (COVID-19) across the globe and its continuous mutation, it is of pivotal importance to design a system to identify different known (and unknown) variants of SARS-CoV-2. Identifying particular…

Quantitative Methods · Quantitative Biology 2021-10-13 Sarwan Ali , Bikram Sahoo , Naimat Ullah , Alexander Zelikovskiy , Murray Patterson , Imdadullah Khan

Background: Recent epidemic outbreaks such as the SARS-CoV-2 pandemic and the mpox outbreak in 2022 have demonstrated the value of genomic sequencing data for tracking the origin and spread of pathogens. Laboratories around the globe…

Since coronavirus has shown up, inaccessibility of legitimate clinical resources is at its peak, like the shortage of specialists, healthcare workers, lack of proper equipment and medicines. The entire medical fraternity is in distress,…

Information Retrieval · Computer Science 2021-04-06 Satvik Garg

The use of technology has been ubiquitous in efforts to combat the ongoing public health crisis due to emergence and spread of the SARS-CoV-2 virus. African countries have made tremendous use of technology to disseminate information,…

Computers and Society · Computer Science 2020-12-15 Adyasha Maharana , Morine Amutorine , Moinina David Sengeh , Elaine O. Nsoesie

Furin is a serine protease that takes part in the processing and activation of the host cell pre-proteins. The enzyme also plays an important role in the activation of several viruses like the newly emerging SARS-CoV-2 virus that causes…

Biomolecules · Quantitative Biology 2021-07-28 Mohammad Reza Dayer

Molecular docking is a key computational tool utilized to predict the binding conformations of small molecules to protein targets, which is fundamental in the design of novel drugs. Despite recent advancements in geometric deep…

Biomolecules · Quantitative Biology 2023-12-01 Jiaxian Yan , Zaixi Zhang , Kai Zhang , Qi Liu

Several mathematical models in SARS-CoV-2 have shown how target-cell model can help to understand the spread of the virus in the host and how potential candidates of antiviral treatments can help to control the virus. Concepts as…

Optimization and Control · Mathematics 2021-06-24 Mara Perez , Pablo Abuin , Marcelo Actis , Antonio Ferramosca , Esteban A. Hernandez-Vargas , Alejandro H. Gonzalez