Cell Behavior · Quantitative Biology
Potential of proteasome inhibitors to inhibit cytokine storm in critical stage COVID-19 patients
Ralf Kircheis, Emanuel Haasbach, Daniel Lueftenegger, Willm T. Heyken +2
2020-08-25
Tissues and Organs · Quantitative Biology
Blocking of the CD80/86 axis as a therapeutic approach to prevent progression to more severe forms of COVID-19
Antonio Julià, Irene Bonafonte, Antonio Gómez, María López-Lasanta +6
2020-05-21
Optimization and Control · Mathematics
Planning interventions in a controlled pandemic: the COVID-19 case
Franco Galante, Chiara Ravazzi, Michele Garetto, Emilio Leonardi
2023-09-07
Chemical Physics · Physics
In Silico Investigations on the Potential Inhibitors for COVID-19 Protease
Ambrish Kumar Srivastava, Abhishek Kumar, Gargi Tiwari, Ratnesh Kumar +1
2020-04-16
Biomolecules · Quantitative Biology
Attacking COVID-19 Progression using Multi-Drug Therapy for Synergetic Target Engagement
Mathew Coban, Juliet Morrison PhD, William D. Freeman MD, Evette Radisky PhD +2
2021-06-25
Populations and Evolution · Quantitative Biology
Optimal Drug Regimen and Combined Drug Therapy and its Efficacy in the Treatment of COVID-19 : An Within-Host Modeling Study
Bishal Chhetri, Vijay M. Bhagat, D. K. K. Vamsi, Ananth V S +4
2023-09-01
Populations and Evolution · Quantitative Biology
Control Intervention Strategies for Within-Host, Between-Host and their Efficacy in the Treatment, Spread of COVID-19 : A Multi Scale Modeling Approach
Bhanu Prakash D, D. K. K. Vamsi, D. Bangaru Rajesh, Carani B Sanjeevi
2023-09-01
Populations and Evolution · Quantitative Biology
Evaluation of non-pharmaceutical interventions and optimal strategies for containing the COVID-19 pandemic
Xiao Zhou, Xiaohu Zhang, Paolo Santi, Carlo Ratti
2022-03-01
Genomics · Quantitative Biology
Identification of Repurposable Drugs and Adverse Drug Reactions for Various Courses of COVID-19 Based on Single-Cell RNA Sequencing Data
Zhihan Wang, Kai Guo, Pan Gao, Qinqin Pu +3
2020-12-07
Quantitative Methods · Quantitative Biology
An in silico drug repurposing pipeline to identify drugs with the potential to inhibit SARS-CoV-2 replication
Méabh MacMahon, Woochang Hwang, Soorin Yim, Eoghan MacMahon +6
2023-11-27
Quantitative Methods · Quantitative Biology
Efficient adaptive designs for clinical trials of interventions for COVID-19
Nigel Stallard, Lisa Hampson, Norbert Benda, Werner Brannath +13
2020-05-28
Populations and Evolution · Quantitative Biology
Optimal Scheduling of Anticipated COVID-19 Vaccination: A Case Study of New York State
Syed Irfan Ali Meerza, Seyed M. Karimi, Bert B. Little, Jacek M. Zurada +1
2020-08-26
Applications · Statistics
A Seamless Phase I/II Platform Design with a Time-To-Event Efficacy Endpoint for Potential COVID-19 Therapies
Thomas Jaki, Helen Barnett, Andrew Titman, Pavel Mozgunov
2020-10-14
Biomolecules · Quantitative Biology
Computational screening of repurposed drugs and natural products against SARS-Cov-2 main protease (Mpro) as potential COVID-19 therapies
Sakshi Piplani, Puneet Singh, Nikolai Petrovsky, David A. Winkler
2020-09-03
Dynamical Systems · Mathematics
Time Optimal Control Studies on COVID-19 Incorporating Adverse Events of the Antiviral Drugs
Bishal Chhetri, Vijay M. Bhagat, Swapna Muthusamy, Ananth V S +2
2021-06-01
Molecular Networks · Quantitative Biology
DCcov: Repositioning of Drugs and Drug Combinations for SARS-CoV-2 Infected Lung through Constraint-Based Modelling
Ali Kishk, Maria Pires Pacheco, Thomas Sauter
2021-11-12
Distributed, Parallel, and Cluster Computing · Computer Science
Scalable HPC and AI Infrastructure for COVID-19 Therapeutics
Hyungro Lee, Andre Merzky, Li Tan, Mikhail Titov +14
2020-10-22