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The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has infected near 5 million people and led to over 0.3 million deaths. Currently, there is no specific anti-SARS-CoV-2…

Biomolecules · Quantitative Biology 2020-05-21 Kaifu Gao , Duc Duy Nguyen , Jiahui Chen , Rui Wang , Guo-Wei Wei

The COVID-19 pandemic has initiated a global health emergency, with an exigent need for effective cure. Progressively, drug repurposing is emerging a promise solution as it saves the time, cost and labor. However, the number of drug…

Biomolecules · Quantitative Biology 2024-06-25 Imra Aqeel , Abdul Majid

Repurposing existing drugs to treat new diseases is a cost-effective alternative to de novo drug development, but there are millions of potential drug-disease combinations to be considered with only a small fraction being viable. In silico…

Quantitative Methods · Quantitative Biology 2025-10-24 Austin Polanco , M. E. J. Newman

The 2019 coronavirus disease (COVID-19) became a worldwide pandemic with currently no effective antiviral drug except treatments for symptomatic therapy. Flux balance analysis is an efficient method to analyze metabolic networks. It allows…

Molecular Networks · Quantitative Biology 2021-11-12 Ali Kishk , Maria Pires Pacheco , Thomas Sauter

Drug repurposing has historically been an economically infeasible process for identifying novel uses for abandoned drugs. Modern machine learning has enabled the identification of complex biochemical intricacies in candidate drugs; however,…

Machine Learning · Computer Science 2025-09-16 Luke Delzer , Robert Kroleski , Ali K. AlShami , Jugal Kalita

Drug repurposing is an emerging approach for drug discovery involving the reassignment of existing drugs for novel purposes. An alternative to the traditional de novo process of drug development, repurposed drugs are faster, cheaper, and…

Biomolecules · Quantitative Biology 2023-09-26 Srilekha Mamidala

The emergence of COVID-19 has severely compromised the arsenal of antiviral and antibiotic drugs. Drug discovery is a multistep process with a high failure rate, high cost and it takes approximately 10-12 years for the development of new…

Biomolecules · Quantitative Biology 2020-04-15 Atanu Barik , Geeta Rai , Gyan Modi

The Coronavirus Disease 2019 (COVID-19) pandemic has infected over 10 million people globally with a relatively high mortality rate. There are many therapeutics undergoing clinical trials, but there is no effective vaccine or therapy for…

Molecular Networks · Quantitative Biology 2020-07-01 Fuhai Li , Andrew P. Michelson , Randi Foraker , Ming Zhan , Philip R. O. Payne

In the past several months, COVID-19 has spread over the globe and caused severe damage to the people and the society. In the context of this severe situation, an effective drug discovery method to generate potential drugs is extremely…

Machine Learning · Computer Science 2021-04-26 Tianyue Cheng , Tianchi Fan , Landi Wang

There remains an urgent need to identify existing drugs that might be suitable for treating patients suffering from COVID-19 infection. Drugs rarely act at a single molecular target, with off target effects often being responsible for…

Biomolecules · Quantitative Biology 2020-09-03 Sakshi Piplani , Puneet Singh , Nikolai Petrovsky , David A. Winkler

Given the severity of the SARS-CoV-2 pandemic, a major challenge is to rapidly repurpose existing approved drugs for clinical interventions. While a number of data-driven and experimental approaches have been suggested in the context of…

Control theory has seen recently impactful applications in network science, especially in connections with applications in network medicine. A key topic of research is that of finding minimal external interventions that offer control over…

Molecular Networks · Quantitative Biology 2020-07-10 Victor-Bogdan Popescu , Krishna Kanhaiya , Iulian Năstac , Eugen Czeizler , Ion Petre

Development of new drugs is an expensive and time-consuming process. Due to the world-wide SARS-CoV-2 outbreak, it is essential that new drugs for SARS-CoV-2 are developed as soon as possible. Drug repurposing techniques can reduce the time…

Machine Learning · Computer Science 2022-01-19 Shrimon Mukherjee , Madhusudan Ghosh , Partha Basuchowdhuri

The global pandemic due to emergence of COVID 19 has created the unrivaled public health crisis. It has huge morbidity rate never comprehended in the recent decades. Researchers have made many efforts to find the optimal solution of this…

Quantitative Methods · Quantitative Biology 2024-09-26 Imra Aqeel

The recent global pandemic of Coronavirus Disease 2019 (COVID-19) caused by the new coronavirus SARS-CoV-2 presents an urgent need for new therapeutic candidates. Many efforts have been devoted to screening existing drug libraries with the…

Quantitative Methods · Quantitative Biology 2020-07-27 Hu Zhu , Catherine Z. Chen , Srilatha Sakamuru , Anton Simeonov , Mathew D. Hall , Menghang Xia , Wei Zheng , Ruili Huang

COVID-19 is a devastating respiratory and inflammatory illness caused by a new coronavirus that is rapidly spreading throughout the human population. Over the past 6 months, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the…

Drug repurposing is an effective strategy to identify new uses for existing drugs, providing the quickest possible transition from bench to bedside. Existing methods for drug repurposing that mainly focus on pre-clinical information may…

Applications · Statistics 2021-04-14 Ruoqi Liu , Lai Wei , Ping Zhang

Recent studies emphasized the necessity to identify key (human) biological processes and pathways targeted by the Coronaviridae family of viruses, especially SARS-CoV-2. COVID-19 caused up to 33-55\% death rates in COVID-19 patients with…

Molecular Networks · Quantitative Biology 2022-06-01 S. Chatterjee , B. S. Sanjeev

Parkinson's disease is a progressive and slowly developing neurodegenerative disease, characterized by dopaminergic neuron loss in the substantia nigra region of the brain. Despite extensive research by scientists, there is not yet a cure…

Quantitative Methods · Quantitative Biology 2024-08-31 Pratham Kankariya , Rachita Rode , Kevin Mudaliar , Pranali Hatode

In recent decades, traditional drug research and development have been facing challenges such as high cost, long timelines, and high risks. To address these issues, many computational approaches have been suggested for predicting the…

Quantitative Methods · Quantitative Biology 2023-09-13 Chunyan Ao , Zhichao Xiao , Lixin Guan , Liang Yu