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Topological Co-indices of Hydroxyethyl Starch Conjugated with Hydroxychloroquine Used for COVID-19 Treatment

Jun Yang, Mehwish Hussain Muhammad, Muhammad Kamran Siddiqui, Muhammad Farhan Hanif, Muhammad Nasir, Safdar Ali, Jia‐Bao Liu

2021Polycyclic aromatic compounds14 citationsDOI

Abstract

In the era of 2019 the most dangerous disease that have affected more than 200 countries is Covid-19 (i.e. corona virus disease 2019) spread by the virus (i.e. novel coronavirus) which is transmitted from susceptible person to survivors in his surroundings. Such an epidemicity occurs first time in the world and number of cases are in excess of normal expectancy for the different areas that's why it is not easy to overcome this pandemic circumstances immediately. However, it is a challenge to develop anti-virus drugs for the suspected patients at global level. The scientists are interested in detailed experiments on Chloroquine (CQ) and Hydroxychloroquine (HCQ) as one of the unique substance used in the manufacturing for an anti virus drugs. For instance the Hydroxychloroquine conjugated molecular structure became an interesting chemical by the scientist. The significance of both substances can be examine by the number of publications which are leading us to introduce an effective treatment. In this paper, we are interested to discussed physcio-chemical properties of Hydroxychloroquine structure and computational work for the specific topological descriptors named as the F-co-index, first Zagreb co-index and first multiplicative Zagreb co-index, second Zagreb co-index and second multiplicative Zagreb co-index.

Topics & Concepts

HydroxychloroquineCoronavirus disease 2019 (COVID-19)ChemistryPandemicChloroquineSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Therapeutic indexIndex (typography)Multiplicative functionTopological indexVirologyDiseaseDrugPharmacologyComputational chemistryComputer scienceMedicineMalariaMathematicsImmunologyInfectious disease (medical specialty)Internal medicineWorld Wide WebMathematical analysisComputational Drug Discovery MethodsGraph theory and applicationsMolecular spectroscopy and chirality