ABSTRACT
Thiazoles are notable five-membered heterocyclic rings and their moieties can be found in several biologically active compounds of natural origin, as well as synthetic molecules that possess a wide range of pharmacological activities. Inflammation is the common cause that is associated with different disorders and diseases such as psoriasis, arthritis, infections, asthma, cancer, etc. In this article, the synthesis pattern of these novel molecules are discussed and their anti-inflammatory activities against cyclooxygenase-1 (COX-1), cyclooxygenase-2 (COX-2) and lipoxygenase (LOX) were reviewed and documented. The potent 26 thiazole analogs were validated with molecular docking against main protease (6LU7) and spike binding domain ACE2 receptor (6M0J) to defeat from the COVID-19 infections. Among this, THI9a showed excellent binding energy and affinity against deadly SAR CoV-2. The reviewed and theoretical study information strongly suggested that thiazole derivatives can be used for the development of futuristic target drugs against death-causing diseases like SAR-CoV-2. © 2022 Chemical Publishing Co.. All rights reserved.
ABSTRACT
It is extremely difficult to monitor and manage infected patients during the COVID-19 pandemic. This IoT wearable monitoring gadget is developed to measure the indicators of COVID-19. Patients' GPS data is used to notify medical authorities of their infection status. A wearable sensor is affixed to the body and connected to an edge node in the IoT cloud where the data is processed and analyzed in order to monitor health. A temperature sensor, GPS, SpO2 sensor, IR sensor, and accelerometer make up the system. The Arduino UNO processor is used in this gadget. The patient's body temperature is obtained using the temperature sensor. The location of the infected patient is tracked using a GPS sensor. Human movement is detected using an accelerometer. The SpO2 sensor measures the blood oxygen saturation level. The heart rate is detected using a pulse sensor. Information about preventive measures, warnings, and actions is stored in a cloud database. COVID-19 symptom readings are measured using this approach for monitoring and analysis. © 2022 IEEE.