Data-driven analytics leveraging artificial intelligence in the era of COVID-19: an insightful review of recent developments

A Majeed, SO Hwang - Symmetry, 2021 - mdpi.com
This paper presents the role of artificial intelligence (AI) and other latest technologies that
were employed to fight the recent pandemic (ie, novel coronavirus disease-2019 (COVID …

Structures of the SARS-CoV-2 spike glycoprotein and applications for novel drug development

XH Liu, T Cheng, BY Liu, J Chi, T Shu… - Frontiers in …, 2022 - frontiersin.org
COVID-19 caused by SARS-CoV-2 has raised a health crisis worldwide. The high morbidity
and mortality associated with COVID-19 and the lack of effective drugs or vaccines for SARS …

Large scale study of ligand–protein relative binding free energy calculations: actionable predictions from statistically robust protocols

AP Bhati, PV Coveney - Journal of Chemical Theory and …, 2022 - ACS Publications
The accurate and reliable prediction of protein–ligand binding affinities can play a central
role in the drug discovery process as well as in personalized medicine. Of considerable …

Ensemble fluid simulations on quantum computers

S Succi, W Itani, C Sanavio, KR Sreenivasan, R Steijl - Computers & Fluids, 2024 - Elsevier
We discuss the viability of ensemble simulations of fluid flows on quantum computers. The
basic idea is to formulate a functional Liouville equation for the probability distribution of the …

Pre‐exascale HPC approaches for molecular dynamics simulations. Covid‐19 research: A use case

M Wieczor, V Genna, J Aranda… - Wiley …, 2023 - Wiley Online Library
Exascale computing has been a dream for ages and is close to becoming a reality that will
impact how molecular simulations are being performed, as well as the quantity and quality of …

[HTML][HTML] Applying physics-informed enhanced super-resolution generative adversarial networks to turbulent premixed combustion and engine-like flame kernel direct …

M Bode, M Gauding, D Goeb, T Falkenstein… - Proceedings of the …, 2023 - Elsevier
Abstract Models for finite-rate-chemistry in underresolved flows still pose one of the main
challenges for predictive simulations of complex configurations. The problem gets even …

Long Time Scale Ensemble Methods in Molecular Dynamics: Ligand–Protein Interactions and Allostery in SARS-CoV-2 Targets

AP Bhati, A Hoti, A Potterton, MK Bieniek… - Journal of Chemical …, 2023 - ACS Publications
We subject a series of five protein–ligand systems which contain important SARS-CoV-2
targets, 3-chymotrypsin-like protease (3CLPro), papain-like protease, and adenosine ribose …

Machine learning first response to COVID-19: A systematic literature review of clinical decision assistance approaches during pandemic years from 2020 to 2022

G Badiola-Zabala, JM Lopez-Guede, J Estevez… - Electronics, 2024 - mdpi.com
Background: The declaration of the COVID-19 pandemic triggered global efforts to control
and manage the virus impact. Scientists and researchers have been strongly involved in …

Applications of machine learning and high-performance computing in the era of COVID-19

A Majeed, S Lee - Applied System Innovation, 2021 - mdpi.com
During the ongoing pandemic of the novel coronavirus disease 2019 (COVID-19), latest
technologies such as artificial intelligence (AI), blockchain, learning paradigms (machine …

[PDF][PDF] AI super-resolution: Application to turbulence and combustion

M Bode - Machine Learning and Its Application to Reacting …, 2023 - library.oapen.org
This article summarizes and discusses recent developments with respect to artificial
intelligence (AI) super-resolution as a subfilter model for large-eddy simulations. The focus …