Browsing by Author "Hanif, Muhammad Farhan"

Now showing 1 - 4 of 4

Computing Forgotten Topological Index of Extremal Cactus Chains
(Walter de Gruyter Gmbh, 2021) Cancan, Murat; Imran, Muhammad; Akhter, Shehnaz; Siddiqui, Muhammad Kamran; Hanif, Muhammad Farhan
The F-index is the whole of 3D squares of vertex degrees in a chart G. It as of late turned into the subject of a few investigates because of its extraordinary capability of uses. The point of this paper is to register the F-record of triangular prickly plant chain, square desert flora chains, 6-sided cactus restraints and polyomino restraints. In addition, we decided the extremal chains in the desert plant chains and polyomino fastens as for the F-index.
On Computation of Entropy Measures and Their Statistical Analysis for Complex Benzene Systems
(Taylor & Francis Ltd, 2023) Wang, Xiaojiao; Hanif, Muhammad Farhan; Mahmood, Hasan; Manzoor, Shazia; Siddiqui, Muhammad Kamran; Cancan, Murat
Benzene is aromatic organic compound having six membered ring. Molecular studies provide evidence of presence of three alternative double bond providing exceptional stability to the molecule. Being basic unit of organic chemicals, benzene is widely used in pharmaceuticals, rubber, pesticides, dyes, lubricants, explosives and additives. Benzene derivatives are used in production of dyes, deodorants, pesticides, organic solvents, dispersants, plasticizers, and drugs. Keeping in view the extensive applications of benzene derivatives, we made use of QSPR analysis for predicting the multiple chemical and physical properties of organic compounds. By using SPSS software, correlation between newly introduced entropies and the Physico-chemical properties of benzene derivatives is examined. Our acquired consequences demonstrated that two physical properties of chemical structures, ie Boiling Point and enthalpy can be best predicted from the fifth ND entropy, and the other two properties namely Pie-electron Energy and molecular weight predicted from the neighborhood version of redefined first Zagreb entropy and neighborhood version of redefined second Zagreb entropy, respectively.
On Entropy Measures for Crystallographic Structure of Silicon-Carbon Networks
(Taylor & Francis Ltd, 2024) Liqiong, Pan; Hanif, Muhammad Farhan; Mahmood, Hasan; Siddiqui, Muhammad Kamran; Manzoor, Shazia; Cancan, Murat
Several graph features have been used to distinguish the construction of entropy-based measurements from the structure of chemical graphs and complicated networks. The graph entropy metric has piqued the interest of scientists due to its possible applicability in a variety of domains. In this paper, we look at the chemical graph of silicon-carbon SiC3-I and the crystallographic structure of silicon-carbon SiC3-II. This two-dimensional structure has the potential to revolutionize optoelectronic and electrical technologies as a direct wide band gap semiconducting material. More intriguingly, the semiconducting SiC3 sheet has a significant visible-light adsorption ability. SiC3 nanosheets have a wide range of electrical characteristics, making them ideal for nano-electronics and photo-voltaic. This advantageous molecular structure, silicon carbon, is examined. More preciously in this paper, we have computed the entropy measures for SiC3-I and SiC3-II based on the topologies indices. Some comparison work is offered in addition to the analytical analysis of the entropy measure of silicon-carbon. Bases on these numerical tables and corresponding graphs we conclude that as entropy measures are the better predicator than the topological indices of physio-chemical properties.
On Topological Indices of Remdesivir Compound Used in Treatment of Corona Virus (Covid 19)
(Taylor & Francis Ltd, 2022) Wei, Jianxin; Cancan, Murat; Rehman, Atiq Ur; Siddiqui, Muhammad Kamran; Nasir, Muhammad; Younas, Muhammad Tayyab; Hanif, Muhammad Farhan
Corona virus cause diseases ranging from the common cold to Severe Acute Respiratory Syndrome (SARS). Several therapeutic agents have been evaluated for the treatment of Covid-19, but none have yet been shown to be efficacious. Remdesivir Gilead Sciences number (GS-5734), an inhibitor of the viral RNA-dependent, RNA polymerase with inhibitory activity against SARS-CoV and the Middle East respiratory syndrome (MERS-CoV), was identified early as a promising therapeutic candidate for Covid-19 because of its ability to inhibit SARS-CoV-2 invitro. Knowledge about the potential efficacy of Remdesivir against corona viruses has been restricted to in vitro studies and animal models. However, information related to COVID-19 is rapidly growing. Several clinical trials are ongoing for the management of COVID-19 using Remdesivir. Efficacy of Remdesivir (GS-5734) against Ebola virus has been demonstrated. In the field of Medical Science, concerning the definition of the topological index on the molecular structure and corresponding medical, biological, chemical, pharmaceutical properties of drugs can be studied by the topological index calculation. In this paper, we compute some reverse topological indices namely, the reverse general Randic index, the reverse atom bond connectivity index, the reverse geometric arithmetic index, the reverse forgotten index, the reverse Balaban index and the reverse Zagreb type indices.