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Connecting SiO4 in Silicate and Silicate Chain Networks to Compute Kulli Temperature Indices.
Zhang, Ying-Fang; Ghani, Muhammad Usman; Sultan, Faisal; Inc, Mustafa; Cancan, Murat.
  • Zhang YF; School of Mathematics and Information Science, Henan Polytechnic University, Jiaozuo 454000, China.
  • Ghani MU; Institute of Mathematics, Khawaja Fareed University of Engineering & Information Technology, Abu Dhabi Road, Rahim Yar Khan 64200, Pakistan.
  • Sultan F; Institute of Mathematics, Khawaja Fareed University of Engineering & Information Technology, Abu Dhabi Road, Rahim Yar Khan 64200, Pakistan.
  • Inc M; Department of Mathematics, Firat University, 23119 Elazig, Turkey.
  • Cancan M; Department of Medical Research, China Medical University, Taichung 40402, Taiwan.
Molecules ; 27(21)2022 Nov 03.
Article in English | MEDLINE | ID: covidwho-2099668
ABSTRACT
A topological index is a numerical parameter that is derived mathematically from a graph structure. In chemical graph theory, these indices are used to quantify the chemical properties of chemical compounds. We compute the first and second temperature, hyper temperature indices, the sum connectivity temperature index, the product connectivity temperature index, the reciprocal product connectivity temperature index and the F temperature index of a molecular graph silicate network and silicate chain network. Furthermore, a QSPR study of the key topological indices is provided, and it is demonstrated that these topological indices are substantially linked with the physicochemical features of COVID-19 medicines. This theoretical method to find the temperature indices may help chemists and others in the pharmaceutical industry forecast the properties of silicate networks and silicate chain networks before trying.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Limits: Humans Language: English Journal subject: Biology Year: 2022 Document Type: Article Affiliation country: Molecules27217533

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Limits: Humans Language: English Journal subject: Biology Year: 2022 Document Type: Article Affiliation country: Molecules27217533