1
|
Rasheed MW, Mahboob A, Hanif I. An Estimation of the Physicochemical Properties of Heart Attack Treatment Medicines by Using Molecular Descriptors. SOUTH AFRICAN JOURNAL OF CHEMICAL ENGINEERING 2023. [DOI: 10.1016/j.sajce.2023.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/08/2023] Open
|
2
|
Das S, Rai S, Mandal M. M-polynomial and Correlated Topological Indices of Antiviral Drug Molnupiravir Used as a Therapy for COVID-19. Polycycl Aromat Compd 2022. [DOI: 10.1080/10406638.2022.2131854] [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)
- Shibsankar Das
- Department of Mathematics, Institute of Science, Banaras Hindu University, Varanasi, Uttar Pradesh, India
| | - Shikha Rai
- Department of Mathematics, Institute of Science, Banaras Hindu University, Varanasi, Uttar Pradesh, India
| | - Modhuleena Mandal
- Subject Matter Expert in Biology, Chegg India Private Limited, New Delhi, India
| |
Collapse
|
3
|
Rosary MS. Topological Study of Line Graph of Remdesivir Compound Used in the Treatment of Corona Virus. Polycycl Aromat Compd 2022. [DOI: 10.1080/10406638.2021.1956552] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Maria Singaraj Rosary
- Department of Mathematics, Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai, India
| |
Collapse
|
4
|
Khabyah AA, Jamil MK, Koam ANA, Javed A, Azeem M. Partition dimension of COVID antiviral drug structures. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2022; 19:10078-10095. [PMID: 36031984 DOI: 10.3934/mbe.2022471] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
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.
Collapse
Affiliation(s)
- Ali Al Khabyah
- Department of Mathematics, College of Science, Jazan University, New Campus, Jazan 2097, Saudi Arabia
| | - Muhammad Kamran Jamil
- Department of Mathematics, Riphah Institute of Computing and Applied Sciences, Riphah International University Lahore, Pakistan
| | - Ali N A Koam
- Department of Mathematics, College of Science, Jazan University, New Campus, Jazan 2097, Saudi Arabia
| | - Aisha Javed
- Abdus Salam School of Mathematical Sciences, Government College University, Lahore, Pakistan
| | - Muhammad Azeem
- Department of Mathematics, Riphah Institute of Computing and Applied Sciences, Riphah International University Lahore, Pakistan
| |
Collapse
|
5
|
Ullah A, Zeb A, Zaman S. A new perspective on the modeling and topological characterization of H-Naphtalenic nanosheets with applications. J Mol Model 2022; 28:211. [PMID: 35790576 PMCID: PMC9255509 DOI: 10.1007/s00894-022-05201-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 06/16/2022] [Indexed: 11/13/2022]
Abstract
In the past few years, two-dimensional (2D) layered nanomaterials have greatly attracted the scientific community. Among 2D nanomaterials, the porphyrin-based Naphtalenic nanosheets have been the subject of intense research due to their utilization in photo-dynamic therapy and nanodevices. New technologies based on nanomaterials or Naphtalenic nanosheet are advantageous in overcoming the problems in conventional drug delivery like poor solubility, toxicity and poor release pattern of drugs. In chemical network theory, various molecular descriptors are used to predict the chemical properties of molecules; these molecular descriptors are found to be very useful for Quantitative Structure-Activity/ Quantitative Structure-Property (QSAR/QSPR) relationship analysis in materials engineering, chemical and pharmaceutical industries. Researchers have computed the molecular descriptors for various nanostructures; however, despite intense research, the topology of nanostructures is not yet well understood. Specially, to our knowledge, the computation of topological indices for the line graph of subdivision graph of H-Naphtalenic nanosheet has not been discussed so far, which may open new perspectives for a more accurate and reliable topological characterization of this nanosheet.In this article, we employed some important degree-based topological indices to study the chemical structure of Naphtalenic nanosheet as a chemical network for QSAR/QSPR analysis. We have computed these degree-based topological indices for the line graph of subdivision graph of H-Naphtalenic nanosheet and derived formulas for them. Based on the derived formulas, numerical results are obtained and the physical and chemical properties of the under study nanosheet are investigated.
Collapse
Affiliation(s)
- Asad Ullah
- Department of Mathematical Sciences, Karakoram International University Gilgit-Baltistan, Gilgit, 15100, Pakistan.
| | - Aurang Zeb
- Department of Mathematical Sciences, Karakoram International University Gilgit-Baltistan, Gilgit, 15100, Pakistan
| | - Shahid Zaman
- Department of Mathematics, University of Sialkot, Sialkot, 51310, Pakistan
| |
Collapse
|
6
|
Prediction of Exchange-Correlation Energy of Graphene Sheets from Reverse Degree-Based Molecular Descriptors with Applications. MATERIALS 2022; 15:ma15082889. [PMID: 35454580 PMCID: PMC9028513 DOI: 10.3390/ma15082889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 04/09/2022] [Accepted: 04/12/2022] [Indexed: 11/22/2022]
Abstract
Over the past few years, the popularity of graphene as a potential 2D material has increased since graphene-based materials have applications in a variety of fields, including medicine, engineering, energy, and the environment. A large number of graphene sheets as well as an understanding of graphene’s structural hierarchy are critical to the development of graphene-based materials. For a variety of purposes, it is essential to understand the fundamental structural properties of graphene. Molecular descriptors were used in this study to investigate graphene sheets’ structural behaviour. Based on our findings, reverse degree-based molecular descriptors can significantly affect the exchange-correlation energy prediction. For the exchange-correlation energy of graphene sheets, a linear regression analysis was conducted using the reverse general inverse sum indeg descriptor, RGISI(p,q). From RGISI(p,q), a set of reverse topological descriptors can be obtained all at once as a special case, resulting in a model with a high correlation coefficient (R between 0.896 and 0.998). Used together, these reverse descriptors are graphed in relation to their response to graphene. Based on this study’s findings, it is possible to predict the exchange correlation energy as well as the geometric structures of graphene sheets with very little computational cost.
Collapse
|
7
|
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.
Collapse
|
8
|
Rosary MS. On Reverse Valency Based Topological Indices of Metal–Organic Framework. Polycycl Aromat Compd 2022. [DOI: 10.1080/10406638.2021.2021255] [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)
- Maria Singaraj Rosary
- Department of Mathematics, Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai, India
| |
Collapse
|
9
|
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
| | | | | |
Collapse
|
10
|
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.
Collapse
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;
| |
Collapse
|
11
|
Ravi V, Siddiqui MK, Chidambaram N, Desikan K. On Topological Descriptors and Curvilinear Regression Analysis of Antiviral Drugs Used in COVID-19 Treatment. Polycycl Aromat Compd 2021. [DOI: 10.1080/10406638.2021.1993941] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Vignesh Ravi
- Division of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Chennai, India
| | | | - Natarajan Chidambaram
- Department of Mathematics, Srinivasa Ramanujan Centre, SASTRA Deemed to be University, Kumbakonam, India
| | - Kalyani Desikan
- Division of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Chennai, India
| |
Collapse
|
12
|
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
|
13
|
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
| |
Collapse
|