1
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Prabhu S, Murugan G, Imran M, Arockiaraj M, Alam MM, Ghani MU. Several distance and degree-based molecular structural attributes of cove-edged graphene nanoribbons. Heliyon 2024; 10:e34944. [PMID: 39170540 PMCID: PMC11336347 DOI: 10.1016/j.heliyon.2024.e34944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 07/15/2024] [Accepted: 07/18/2024] [Indexed: 08/23/2024] Open
Abstract
A carbon-based material with a broad scope of favourable developments is called graphene. Recently, a graphene nanoribbon with cove-edged was integrated by utilizing a bottom-up liquid-phase procedure, and it can be geometrically viewed as a hybrid of the armchair and the zigzag edges. It is indeed a type of nanoribbon containing asymmetric edges made up of sequential hexagons with impressive mechanical and electrical characteristics. Topological indices are numerical values associated with the structure of a chemical graph and are used to predict various physical, chemical, and biological properties of molecules. They are derived from the graph representation of molecules, where atoms are represented as vertices and bonds as edges. In this article, we derived the exact topological expressions of cove-edged graphene nanoribbons based on the graph-theoretical structural measures that help reduce the number of repetitive laboratory tasks necessary for studying the physicochemical characteristics of graphene nanoribbons with curved edges.
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Affiliation(s)
- S. Prabhu
- Department of Mathematics, Rajalakshmi Engineering College, Thandalam, Chennai 602105, India
| | - G. Murugan
- Department of Mathematics, Chennai Institute of Technology, Chennai 600069, India
| | - Muhammad Imran
- Department of Mathematical Sciences, United Arab Emirates University, Al Ain, P. O. Box 15551, United Arab Emirates
| | | | - Mohammad Mahtab Alam
- Central Labs, King Khalid University, AlQura'a, Abha, P.O. Box 960, Saudi Arabia
- Department of Basic Medical Sciences, College of Applied Medical Science, King Khalid University, Abha 61421, Saudi Arabia
| | - Muhammad Usman Ghani
- Institute of Mathematics, Khawaja Fareed University of Engineering & Information Technology, Abu Dhabi Road, 64200, Rahim Yar Khan, Pakistan
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2
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Hassan MM, Pan XF. Molecular structure of DNA via Zagreb connection descriptors. THE EUROPEAN PHYSICAL JOURNAL. E, SOFT MATTER 2024; 47:48. [PMID: 39066888 DOI: 10.1140/epje/s10189-024-00442-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Accepted: 07/17/2024] [Indexed: 07/30/2024]
Abstract
Topological indices quantify the connectivity and structural properties of chemical compounds. We use the topological indices for predicting and evaluating the numerous properties of molecules, such as boiling temperatures, toxicity, and biological activity. Zagreb connection indices are a useful tool for studying the structural characteristics of the DNA backbone network. These indices provide important information on the arrangement and connections between nucleotide bases inside the DNA molecule. These indices show compactness, complexity, and topological properties in order to predict DNA bending propensity, DNA-protein interaction, and DNA stability. DNA folding patterns and the impact of mutations on DNA networks are areas of further research for these topological indices. In this study, we calculate Zagreb connection indices and modified Zagreb connection indices for backbone DNA network and subdivided backbone DNA network. Furthermore, we compute the hyper-Zagreb connection index, the inverse sum connection index, and the harmonic connection index.
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Affiliation(s)
| | - Xiang-Feng Pan
- School of Mathematical Sciences, Anhui University, Hefei, 230601, People's Republic of China.
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3
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Desmecht D, Dubois V. Correlation of the Molecular Cross-Sectional Area of Organic Monofunctional Compounds with Topological Descriptors. J Chem Inf Model 2024; 64:3248-3259. [PMID: 38528706 DOI: 10.1021/acs.jcim.3c01787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
The molecular cross-sectional area (σ) has proved to be an interesting molecular measure not only in the field of adsorption phenomena on solids but also in biochemistry, physiology, or surfactant chemistry. The existing methods to estimate the cross-sectional areas are either not readily applicable or can only be applied to a limited number of compounds. The aim of this work was to describe a method, as general as possible, quick and easy to perform. To that end, the molecular cross-sectional areas were correlated with topological indices. The Emmett-Brunauer formula was used to calculate the reference cross-sectional areas (σEB) of 431 compounds. The correlations of the Wiener (W), hyper-Wiener (WW), Balaban (J), and Randić (χ) indices with σEB were compared for n-alkanes as well as branched and cyclic alkanes. Only the Wiener and hyper-Wiener indices correlated well with σEB, with the data being best fitted by power law regression curves. The lower degeneracy of the hyper-Wiener index did not translate into any significant gain of performance when correlated with σEB. Following the parsimony principle, the less complex Wiener index was thus selected to correlate with the σEB of compounds representing 31 other monofunctional and structural families. The integration of all the compound families into a single curve allowed a quick rough estimation of the cross-sectional areas. The specific reference equations σEB = qWp were determined for the 34 selected families, allowing the fast and reliable calculation of the cross-sectional area of any monofunctional compound.
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Affiliation(s)
- Didier Desmecht
- Laboratory of Catalysis and Porous Materials, Labiris, Sustainable Chemistry, 1 Avenue Gryson, B-1070 Brussels, Belgium
| | - Vincent Dubois
- Laboratory of Catalysis and Porous Materials, Labiris, Sustainable Chemistry, 1 Avenue Gryson, B-1070 Brussels, Belgium
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4
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Naeem M, Rauf A, Mumtaz MW, Ameen N. Predictive ability of physiochemical properties of benzene derivatives using Ve-degree of end vertices-based entropy. J Biomol Struct Dyn 2023:1-11. [PMID: 37897181 DOI: 10.1080/07391102.2023.2269419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 10/04/2023] [Indexed: 10/29/2023]
Abstract
Topological indices relate chemical structure to chemical reactivity, physical properties, and biological activity. Quantitative structure-activity relationships (QSPR) are mathematical models proposed for the correlation of various types of chemical reactivity, biological activity, and physical properties with topological indices/entropies. In this article, we have proposed the QSPR between the ve-degree of end vertices of edge based entropies and the physiochemical properties of benzene derivatives. We have designed a Maple-based algorithm for the computation of entropies. The relationship was analyzed using SPSS. We have shown that the physiochemical properties such as critical pressure, Henry's law, critical temperature, Gibb's energy, logP, critical volume, and molar refractivity can be predicted by entropies. All the results were highly positive and significant. The Randić, Balaban, and redefined third Zagreb entropies showed the best relations with physiochemical properties.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Muhammad Naeem
- Department of Mathematics, School of Natural Sciences, National University of Sciences and Technology (NUST), Islamabad, Pakistan
| | - Abdul Rauf
- Air University Multan Campus, Multan, Pakistan
| | | | - Nimra Ameen
- The Islamia University Bahawalnagar Campus, Bahawalnagar, Pakistan
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5
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Farooq MT, Jiarasuksakun T, Kaemawichanurat P. Entropy analysis of nickel(II) porphyrins network via curve fitting techniques. Sci Rep 2023; 13:17317. [PMID: 37828093 PMCID: PMC10570312 DOI: 10.1038/s41598-023-44000-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 10/03/2023] [Indexed: 10/14/2023] Open
Abstract
Nickel(II) porphyrins typically adopt a square planar coordination geometry, with the nickel atom located at the center of the porphyrin ring and the coordinating atoms arranged in a square plane. The additional atoms or groups coordinated to the nickel atom in nickel(II) porphyrins are called ligands. Porphyrins have been investigated as potential agents for imaging and treating cancer due to their ability to selectively bind to tumor cells and be used as sensors for a variety of analytes. Nickel(II) porphyrins are relatively stable compounds, with high thermal and chemical stability. They can be stored in a solid state or in solution without significant degradation. In this study, we compute several connectivity indices, such as general Randi'c, hyper Zagreb, and redefined Zagreb indices, based on the degrees of vertices of the chemical graph of nickel porphyrins. Then, we compute the entropy and heat of formation NiP production, among other physical parameters. Using MATLAB, we fit curves between various indices and the thermodynamic properties parameters, notably the heat of formation and entropy, using various linearity- and non-linearity-based approaches. The method's effectiveness is evaluated using [Formula: see text], the sum of squared errors, and root mean square error. We also provide visual representations of these indexes. These mathematical frameworks might offer a mechanism to investigate the thermodynamical characteristics of NiP's chemical structure under various circumstances, which will help us understand the connection between system dimensions and these metrics.
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Affiliation(s)
- Muhammad Talha Farooq
- Department of Mathematics, Faculty of Science, King Mongkut's University of Technology Thonburi, Bangkok, Thailand
- Mathematics and Statistics with Applications (MaSA), Bangkok, 10400, Thailand
| | - Thiradet Jiarasuksakun
- Mathematics and Statistics with Applications (MaSA), Bangkok, 10400, Thailand
- The Institute for the Promotion of Teaching Science and Technology (IPST), Bangkok, Thailand
| | - Pawaton Kaemawichanurat
- Department of Mathematics, Faculty of Science, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.
- Mathematics and Statistics with Applications (MaSA), Bangkok, 10400, Thailand.
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6
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Wardecki D, Dołowy M, Bober-Majnusz K. Evaluation of the Usefulness of Topological Indices for Predicting Selected Physicochemical Properties of Bioactive Substances with Anti-Androgenic and Hypouricemic Activity. Molecules 2023; 28:5822. [PMID: 37570792 PMCID: PMC10420683 DOI: 10.3390/molecules28155822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Revised: 07/27/2023] [Accepted: 07/31/2023] [Indexed: 08/13/2023] Open
Abstract
Due to the observed increase in the importance of computational methods in determining selected physicochemical parameters of biologically active compounds that are key to understanding their ADME/T profile, such as lipophilicity, there is a great need to work on accurate and precise in silico models based on some structural descriptors, such as topological indices for predicting lipophilicity of certain anti-androgenic and hypouricemic agents and their derivatives, for which the experimental lipophilicity parameter is not accurately described in the available literature, e.g., febuxostat, oxypurinol, ailanthone, abiraterone and teriflunomide. Therefore, the following topological indices were accurately calculated in this paper: Gutman (M, Mν), Randić (0χ, 1χ, 0χν, 1χν), Wiener (W), Rouvray-Crafford (R) and Pyka (A, 0B, 1B) for the selected anti-androgenic drugs (abiraterone, bicalutamide, flutamide, nilutamide, leflunomide, teriflunomide, ailanthone) and some hypouricemic compounds (allopurinol, oxypurinol, febuxostat). Linear regression analysis was used to create simple linear correlations between the newly calculated topological indices and some physicochemical parameters, including lipophilicity descriptors of the tested compounds (previously obtained by TLC and theoretical methods). Our studies confirmed the usefulness of the obtained linear regression equations based on topological indices to predict ADME/T important parameters, such as lipophilicity descriptors of tested compounds with anti-androgenic and hypouricemic effects. The proposed calculation method based on topological indices is fast, easy to use and avoids valuable and lengthy laboratory experiments required in the case of experimental ADME/T studies.
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Affiliation(s)
- Dawid Wardecki
- Faculty of Pharmaceutical Sciences in Sosnowiec, Doctoral School, Medical University of Silesia in Katowice, 41-200 Sosnowiec, Poland
| | - Małgorzata Dołowy
- Department of Analytical Chemistry, Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia in Katowice, 41-200 Sosnowiec, Poland;
| | - Katarzyna Bober-Majnusz
- Department of Analytical Chemistry, Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia in Katowice, 41-200 Sosnowiec, Poland;
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7
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Jeyaraj S, Santiago R. A Study on Efficient Technique for Generating Vertex-based Topological Characterization of Boric Acid 2D Structure. ACS OMEGA 2023; 8:23089-23097. [PMID: 37396267 PMCID: PMC10308567 DOI: 10.1021/acsomega.3c02477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 05/12/2023] [Indexed: 07/04/2023]
Abstract
The computational technique called the cut method is used to predict the natural behaviors among the chemical network's physicochemical characteristics, known as topological indices. Distance-based indices are used to describe the physical density of chemical networks. In this paper, we have done analytical computation results for the vertex-distance-based and vertex-degree-based indices for boric acid hydrogen-bonded 2D lattice sheet. Boric acid is an inorganic compound with low toxicity when applied to the skin or eaten. A graphical representation is used to explain a thorough comparison of the computed topological indices of hydrogen-bonded 2D lattice sheets of boric acid.
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8
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Pattabiraman K, Sudharsan S, Cancan M. QSPR Modeling with Topological Indices of Some Potential Drugs against Cancer. Polycycl Aromat Compd 2023. [DOI: 10.1080/10406638.2023.2189270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
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9
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Govardhan S, Santiago R. Degree-Sum Based Topological Indices of Supercoronene and Triangle-Shaped Discotic Graphene Using NM-Polynomial. Polycycl Aromat Compd 2023. [DOI: 10.1080/10406638.2023.2177314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2023]
Affiliation(s)
- Sriramulu Govardhan
- Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, India
| | - Roy Santiago
- Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, India
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10
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Ghani MU, Campena FJH, Maqbool MK, Liu JB, Dehraj S, Cancan M, Alharbi FM. Entropy Related to K-Banhatti Indices via Valency Based on the Presence of C6H6 in Various Molecules. MOLECULES (BASEL, SWITZERLAND) 2023; 28:molecules28010452. [PMID: 36615642 PMCID: PMC9824825 DOI: 10.3390/molecules28010452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 12/18/2022] [Accepted: 12/19/2022] [Indexed: 01/05/2023]
Abstract
Entropy is a measure of a system's molecular disorder or unpredictability since work is produced by organized molecular motion. Shannon's entropy metric is applied to represent a random graph's variability. Entropy is a thermodynamic function in physics that, based on the variety of possible configurations for molecules to take, describes the randomness and disorder of molecules in a given system or process. Numerous issues in the fields of mathematics, biology, chemical graph theory, organic and inorganic chemistry, and other disciplines are resolved using distance-based entropy. These applications cover quantifying molecules' chemical and electrical structures, signal processing, structural investigations on crystals, and molecular ensembles. In this paper, we look at K-Banhatti entropies using K-Banhatti indices for C6H6 embedded in different chemical networks. Our goal is to investigate the valency-based molecular invariants and K-Banhatti entropies for three chemical networks: the circumnaphthalene (CNBn), the honeycomb (HBn), and the pyrene (PYn). In order to reach conclusions, we apply the method of atom-bond partitioning based on valences, which is an application of spectral graph theory. We obtain the precise values of the first K-Banhatti entropy, the second K-Banhatti entropy, the first hyper K-Banhatti entropy, and the second hyper K-Banhatti entropy for the three chemical networks in the main results and conclusion.
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Affiliation(s)
- Muhammad Usman Ghani
- Institute of Mathematics, Khawaja Fareed University of Engineering & Information Technology, Abu Dhabi Road, Rahim Yar Khan 64200, Pakistan
- Correspondence: (M.U.G.); (F.J.H.C.); (J.-B.L.)
| | - Francis Joseph H. Campena
- Department of Mathematics and Statistics, College of Science, De La Salle University, 2401 Taft Avenue, Manila 1004, Philippines
- Correspondence: (M.U.G.); (F.J.H.C.); (J.-B.L.)
| | - Muhammad Kashif Maqbool
- The Government Sadiq Egerton College Bahwalpur, University Chowk, Bahawalpur Cantt, Bahawalpur 63100, Pakistan
| | - Jia-Bao Liu
- School of Mathematics and Physics, Anhui Jianzhu University, Hefei 230601, China
- Correspondence: (M.U.G.); (F.J.H.C.); (J.-B.L.)
| | - Sanaullah Dehraj
- Department of Mathematics and Statistics, Quaid-e-Awam University of Engineering, Science and Technology, Sakrand Road, Nawabshah 67480, Pakistan
| | - Murat Cancan
- Faculty of Education, Yuzuncu Yil University, 65090 Van, Turkey
| | - Fahad M. Alharbi
- Department of Mathematics, Al-Qunfudah University College, Umm Al-Qura University, Mecca 24382, Saudi Arabia
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11
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Zhang X, Reddy HGG, Usha A, Shanmukha MC, Farahani MR, Alaeiyan M. A study on anti-malaria drugs using degree-based topological indices through QSPR analysis. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2023; 20:3594-3609. [PMID: 36899594 DOI: 10.3934/mbe.2023167] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
The use of topological descriptors is the key method, regardless of great advances taking place in the field of drug design. Descriptors portray the chemical characteristic of a molecule in numerical form, that is used for QSAR/QSPR models. The numerical values related with chemical constitutions that correlate the chemical structure with the physical properties refer to topological indices. The study of chemical structure with chemical reactivity or biological activity is termed quantitative structure activity relationship, in which topological index plays a significant role. Chemical graph theory is one such significant branch of science which plays a key role in QSAR/QSPR/QSTR studies. This work is focused on computing various degree-based topological indices and regression model of nine anti-malaria drugs. Regression models are fitted for computed indices values with 6 physicochemical properties of the anti-malaria drugs are studied. Based on the results obtained, an analysis is carried out for various statistical parameters for which conclusions are drawn.
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Affiliation(s)
- Xiujun Zhang
- School of Computer Science, Chengdu University, Chengdu 610106, China
| | - H G Govardhana Reddy
- Department of Mathematics, Alliance School of Applied Mathematics, Alliance University, Bangalore-562106, Karnataka, India
| | - Arcot Usha
- Department of Mathematics, Alliance School of Applied Mathematics, Alliance University, Bangalore-562106, Karnataka, India
| | - M C Shanmukha
- Department of Mathematics, Bapuji Institute of Engineering and Technology, Davanagere-577004, Karnataka, India
| | - Mohammad Reza Farahani
- Department of Mathematics, Iran University of Science and Technology, Tehran 16844, Iran
| | - Mehdi Alaeiyan
- Department of Mathematics, Iran University of Science and Technology, Tehran 16844, Iran
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12
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Srinivasa Rao ASR, Krantz SG. Mathematical analysis and topology of SARS-CoV-2, bonding with cells and unbonding. JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS 2022; 514:125664. [PMID: 34538930 PMCID: PMC8438870 DOI: 10.1016/j.jmaa.2021.125664] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Indexed: 06/13/2023]
Abstract
We consider the structure of the novel coronavirus (SARS-Cov-2) in terms of the number of spikes that are critical in bonding with the cells in the host. Bonding formation is considered for selection criteria with and without any treatments. Functional mappings from the discrete space of spikes and cells and their analysis are performed. We found that careful mathematical constructions help in understanding the treatment impacts, and the role of vaccines within a host. Smale's famous 2-D horseshoe examples inspired us to create 3-D visualizations and understand the topological diffusion of spikes from one human organ to another organ. The pharma industry will benefit from such an analysis for designing efficient treatment and vaccine strategies.
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Affiliation(s)
- Arni S R Srinivasa Rao
- Laboratory for Theory and Mathematical Modeling, Medical College of Georgia, Department of Mathematics, Augusta University, GA, USA
| | - Steven G Krantz
- Department of Mathematics, Washington University in St. Louis, MO, USA
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13
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Jahanbani A, Sheikholeslami SM, Khoeilar R. On the Energy of Benzenoid Hydrocarbons. Polycycl Aromat Compd 2022. [DOI: 10.1080/10406638.2021.1933103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- A. Jahanbani
- Department of Mathematics, Azarbaijan Shahid Madani University, Tabriz, Iran
| | | | - R. Khoeilar
- Department of Mathematics, Azarbaijan Shahid Madani University, Tabriz, Iran
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14
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Rauf A, Ishtiaq M, Muhammad MH, Siddiqui MK, Rubbab Q. Algebraic Polynomial Based Topological Study of Graphite Carbon Nitride (g-) Molecular Structure. Polycycl Aromat Compd 2022. [DOI: 10.1080/10406638.2021.1934044] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- Abdul Rauf
- Department of Computer Science and Mathematics, Air University Multan Campus, Multan, Pakistan
| | - Muhammad Ishtiaq
- Department of Computer Science and Mathematics, Air University Multan Campus, Multan, Pakistan
| | | | - Muhammad Kamran Siddiqui
- College of chemistry, School of Chemical Engineering and Energy, Zhengzhou University, Zhengzhou, China
| | - Qammar Rubbab
- Department of Mathematics, Comsats University Islamabad, Lahore Campus, Lahore, Pakistan
- Department of Mathematics, The Woman University Multan, Multan, Pakistan
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15
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Liu JB, Xavier DA, Varghese ES, Baby A, Mathew D. Molecular Descriptors of Porphyrin-based Dendrimer. Polycycl Aromat Compd 2022. [DOI: 10.1080/10406638.2022.2112714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
Affiliation(s)
- Jia-Bao Liu
- School of Mathematics and Physics, Anhui Jianzhu University, Hefei, China
| | - D. Antony Xavier
- Department of Mathematics, Loyola College (Affiliated to the University of Madras), Chennai, India
| | - Eddith Sarah Varghese
- Department of Mathematics, Loyola College (Affiliated to the University of Madras), Chennai, India
| | - Annmaria Baby
- Department of Mathematics, Loyola College (Affiliated to the University of Madras), Chennai, India
| | - Deepa Mathew
- Department of Mathematics, St. Joseph’s College, Bangalore, India
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16
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Govardhan S, Roy S, Prabhu S, Siddiqui MK. Computation of Neighborhood M-Polynomial of Three Classes of Polycyclic Aromatic Hydrocarbons. Polycycl Aromat Compd 2022. [DOI: 10.1080/10406638.2022.2103576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
Affiliation(s)
- S. Govardhan
- Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, India
| | - S. Roy
- Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, India
| | - S. Prabhu
- Department of Mathematics, Rajalakshmi Engineering College, Chennai, India
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17
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Arulperumjothi M, Prabhu S, Liu JB, Rajasankar PY, Gayathri V. On counting polynomials of certain classes of polycyclic aromatic hydrocarbons. Polycycl Aromat Compd 2022. [DOI: 10.1080/10406638.2022.2094969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Affiliation(s)
- M. Arulperumjothi
- Department of Mathematics, Saveetha Engineering College, Chennai, India
| | - S. Prabhu
- Department of Mathematics, Rajalakshmi Engineering College, Chennai, India
| | - Jia-Bao Liu
- School of Mathematics and Physics, Anhui Jianzhu University, Hefei, P.R. China
| | | | - V. Gayathri
- Department of Mathematics, St. Joseph College of Engineering, Chennai, India
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18
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Xavier DA, Varghese ES, Baby A, Mathew D, K. A. Kaabar M. Distance based topological descriptors of Zinc Porphyrin Dendrimer. J Mol Struct 2022. [DOI: 10.1016/j.molstruc.2022.133614] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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19
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Kansal N, Garg P, Singh O. Temperature-Based Topological Indices and QSPR Analysis of COVID-19 Drugs. Polycycl Aromat Compd 2022. [DOI: 10.1080/10406638.2022.2086271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Neha Kansal
- Department of Mathematics, University of Rajasthan, Jaipur, Rajasthan, India
| | - Pravin Garg
- Department of Mathematics, University of Rajasthan, Jaipur, Rajasthan, India
| | - Omendra Singh
- Department of Mathematics, University of Rajasthan, Jaipur, Rajasthan, India
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20
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Topological Coindices and Quantitative Structure-Property Analysis of Antiviral Drugs Investigated in the Treatment of COVID-19. J CHEM-NY 2022. [DOI: 10.1155/2022/3036655] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
SARS-CoV-2 is a new strain of coronavirus family that has never been previously detected in humans. This has grown into a huge public health issue that has affected people all around the world. Presently, there is no specific antiviral treatment for COVID-19. To tackle the outbreak, a number of drugs are being explored or have been utilized based on past experience. A molecular descriptor (or topological index) is a numerical value that describes a compound’s molecular structure and has been successfully employed in many QSPR/QSAR investigations to represent several physicochemical attributes. In order to determine topological characteristics of graphs, coindices (topological) take nonadjacent pair of vertices into account. In this study, we introduced CoM-polynomial and numerous degree-based topological coindices for several antiviral medicines such as lopinavir, ritonavir remdesivir, hydroxychloroquine, chloroquine, theaflavin, thalidomide, and arbidol which were studied using the CoM-polynomial approach. In the QSPR model, the linear regression approach is used to analyze the relationships between physicochemical properties and topological coindices. The findings show that the topological coindices under investigation have a substantial relationship with the physicochemical properties of possible antiviral medicines in question. As a result, topological coindices may be effective tools for studying antiviral drugs in the future for QSPR analyses.
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Saravanan B, Prabhu S, Arulperumjothi M, Julietraja K, Siddiqui MK. Molecular Structural Characterization of Supercorenene and Triangle-Shaped Discotic Graphene. Polycycl Aromat Compd 2022. [DOI: 10.1080/10406638.2022.2039224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- B. Saravanan
- Department of Mathematics, Sri Venkateswara College of Engineering, Sriperumbudur, India
| | - Savari Prabhu
- Department of Mathematics, Rajalakshmi Engineering College, Chennai, India
| | - M. Arulperumjothi
- Department of Mathematics, Saveetha Engineering College, Chennai, India
| | - K. Julietraja
- Department of Mathematics, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, India
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Ma Y, Siddiqui MK, Javed S, Sherin L. On Analysis of Topological Indices for Graphitic Carbon Nitride via Enthalpy and Entropy Measurements. Polycycl Aromat Compd 2021. [DOI: 10.1080/10406638.2021.2002376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Yanli Ma
- Department of General Education, Anhui Xinhua University, Hefei, China
| | | | - Sana Javed
- Department of Mathematics, COMSATS University Islamabad, Lahore, Pakistan
| | - Lubna Sherin
- Department of Chemistry, COMSATS University Islamabad, Lahore, Pakistan
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Basavanagoud B, Policepatil S, Siddiqui MK. Gourava and Hyper-Gourava Polynomials of Some Chemical Structures Applied for the Treatment of COVID-19. Polycycl Aromat Compd 2021. [DOI: 10.1080/10406638.2021.1998150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- B. Basavanagoud
- Department of Mathematics, Karnatak University, Dharwad, India
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Dołowy M, Jampilek J, Bober-Majnusz K. A Comparative Study of the Lipophilicity of Metformin and Phenformin. Molecules 2021; 26:molecules26216613. [PMID: 34771022 PMCID: PMC8588420 DOI: 10.3390/molecules26216613] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Revised: 10/28/2021] [Accepted: 10/29/2021] [Indexed: 11/16/2022] Open
Abstract
The results presented in this paper confirm the beneficial role of an easy-to-use and low-cost thin-layer chromatography (TLC) technique for describing the retention behavior and the experimental lipophilicity parameter of two biguanide derivatives, metformin and phenformin, in both normal-phase (NP) and reversed-phase (RP) TLC systems. The retention parameters (RF, RM) obtained under different chromatographic conditions, i.e., various stationary and mobile phases in the NP-TLC and RP-TLC systems, were used to determine the lipophilicity parameter (RMW) of metformin and phenformin. This study confirms the poor lipophilicity of both metformin and phenformin. It can be stated that the optimization of chromatographic conditions, i.e., the kind of stationary phase and the composition of mobile phase, was needed to obtain the reliable value of the chromatographic lipophilicity parameter (RMW) in this study. The fewer differences in the RMW values of both biguanide derivatives were ensured by the RP-TLC system composed of RP2, RP18, and RP18W plates and the mixture composed of methanol, propan-1-ol, and acetonitrile as an organic modifier compared to the NP-TLC analysis. The new calculation procedures for logP of drugs based on topological indices 0χν, 0χ, 1χν, M, and Mν may be a certain alternative to other algorithms as well as the TLC procedure performed under optimized chromatographic conditions. The knowledge of different lipophilicity parameters of the studied biguanides can be useful in the future design of novel and more therapeutically effective metformin and phenformin formulations for antidiabetic and possible anticancer treatment. Moreover, the topological indices presented in this work may be further used in the QSAR study of the examined biguanides.
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Affiliation(s)
- Małgorzata Dołowy
- Department of Analytical Chemistry, Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia in Katowice, Jagiellonska 4, 41-200 Sosnowiec, Poland;
- Correspondence: (M.D.); (J.J.)
| | - Josef Jampilek
- Department of Analytical Chemistry, Faculty of Natural Sciences, Comenius University, Ilkovicova 6, 842 15 Bratislava, Slovakia
- Correspondence: (M.D.); (J.J.)
| | - Katarzyna Bober-Majnusz
- Department of Analytical Chemistry, Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia in Katowice, Jagiellonska 4, 41-200 Sosnowiec, Poland;
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Zhong JF, Rauf A, Naeem M, Rahman J, Aslam A. Quantitative structure-property relationships (QSPR) of valency based topological indices with Covid-19 drugs and application. ARAB J CHEM 2021. [DOI: 10.1016/j.arabjc.2021.103240] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
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Havare ÖÇ. Quantitative Structure Analysis of Some Molecules in Drugs Used in the Treatment of COVID-19 with Topological Indices. Polycycl Aromat Compd 2021. [DOI: 10.1080/10406638.2021.1934045] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Özge Çolakoğlu Havare
- Mathematics Department, Arts and Sciences Faculty, Mersin University, Mersin, Turkey
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