1 results match your criteria: "King Mongkut's University of Technology Thonburi 10140 Thailand surachate.kal@kmutt.ac.th.[Affiliation]"
Artificial intelligence-aiding lab-on-a-chip workforce designed oral [3.1.0] bi and [4.2.0] tricyclic catalytic interceptors inhibiting multiple SARS-CoV-2 protomers assisted by double-shell deep learning.
RSC Adv
August 2024
Faculty of Science and Nanoscience & Nanotechnology Graduate Program, King Mongkut's University of Technology Thonburi 10140 Thailand
Article Synopsis
- The Edisonian approach to drug development, which involves trial and error, struggles with the risk of creating ineffective or harmful drugs, particularly against emerging pandemics like COVID-19, due to limitations in current antiviral treatments and the challenges posed by declining birth rates and an aging workforce in science.* ! -
- Despite some existing antivirals (Remdesivir, Molnupiravir, Paxlovid) showing moderate effectiveness, there's a critical need for new antiviral drugs and advanced technology to effectively target and disable the coronavirus’s proteins.* ! -
- Research efforts focus on creating innovative drug candidates by designing compounds that follow Lipinski's rule of druglikeness but with fewer rotational bonds to enhance their ability to inhibit viral