Your browser doesn't support javascript.
Partition dimension of COVID antiviral drug structures.
Khabyah, Ali Al; Jamil, Muhammad Kamran; Koam, Ali N A; Javed, Aisha; Azeem, Muhammad.
  • Khabyah AA; Department of Mathematics, College of Science, Jazan University, New Campus, Jazan 2097, Saudi Arabia.
  • Jamil MK; Department of Mathematics, Riphah Institute of Computing and Applied Sciences, Riphah International University Lahore, Pakistan.
  • Koam ANA; Department of Mathematics, College of Science, Jazan University, New Campus, Jazan 2097, Saudi Arabia.
  • Javed A; Abdus Salam School of Mathematical Sciences, Government College University, Lahore, Pakistan.
  • Azeem M; Department of Mathematics, Riphah Institute of Computing and Applied Sciences, Riphah International University Lahore, Pakistan.
Math Biosci Eng ; 19(10): 10078-10095, 2022 07 15.
Article in English | MEDLINE | ID: covidwho-1974984
ABSTRACT
In November 2019, there was the first case of COVID-19 (Coronavirus) recorded, and up to 3$ ^{rd }$ of April 2020, 1,116,643 confirmed positive cases, and around 59,158 dying were recorded. Novel antiviral structures of the SARS-COV-2 virus is discussed in terms of the metric basis of their molecular graph. These structures are named arbidol, chloroquine, hydroxy-chloroquine, thalidomide, and theaflavin. Partition dimension or partition metric basis is a concept in which the whole vertex set of a structure is uniquely identified by developing proper subsets of the entire vertex set and named as partition resolving set. By this concept of vertex-metric resolvability of COVID-19 antiviral drug structures are uniquely identified and helps to study the structural properties of structure.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Antiviral Agents / COVID-19 Type of study: Case report Limits: Humans Language: English Journal: Math Biosci Eng Year: 2022 Document Type: Article Affiliation country: Mbe.2022471

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Antiviral Agents / COVID-19 Type of study: Case report Limits: Humans Language: English Journal: Math Biosci Eng Year: 2022 Document Type: Article Affiliation country: Mbe.2022471