Computing and Analysis of Topological Co-Indices for Metal-Organic Compound

2021 ◽  
Vol 18 ◽  
Author(s):  
Dongming Zhao ◽  
Mehwish Hussain Muhammad ◽  
Muhammad Kamran Siddiqui ◽  
Muhammad Nasir ◽  
Muhammad Faisal Nadeem ◽  
...  

: A topological descriptor is a mathematical illustration of a molecular construction that relates particular physicochemical properties of primary molecular structure as well its mathematical depiction. Topological co-indices are usually applied for quantitative structure actions relationships (QSAR) and quantitative structures property relationships (QSPR). Topological co-indices are topological descriptor which considered the noncontiguous vertex set. At this point, we study the accompanying some renowned topological co-indices: the 1st and 2nd Zagreb co-indices, the 1st and 2nd multiplicative Zagreb co-indices and the F-coindex. By applying structure basics examinations and deductions, we discuss the earlier stated co-indices of few synthetic atomic structures that frequently comes in clinical, synthetic, and material designing.

2021 ◽  
Vol 44 (1) ◽  
pp. 103-116
Author(s):  
Muhammad Kamran Siddiqui ◽  
Yu-Ming Chu ◽  
Muhammad Nasir ◽  
Muhammad Faisal Nadeem ◽  
Muhammad Farhan Hanif

Abstract A topological descriptor is a mathematical illustration of a molecular construction that relates particular physicochemical properties of primary molecular structure as well its mathematical depiction. Topological co-indices are usually applied for quantitative structure actions relationships (QSAR) and quantitative structures property relationships (QSPR). Topological co-indices are topological descriptors which are considered the noncontiguous vertex set. We study the accompanying some renowned topological co-indices: first and second Zagreb co-indices, first and second multiplicative Zagreb co-indices and the F-coindex, and some other degree-based indices of the co-indices of ceria oxide.


2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Xuan Guo ◽  
Yu-Ming Chu ◽  
Muhammad Khalid Hashmi ◽  
Abaid Ur Rehman Virk ◽  
Jingjng Li

Topological index plays an important role in predicting physicochemical properties of a molecular structure. With the help of the topological index, we can associate a single number with a molecular graph. Drugs and other chemical compounds are frequently demonstrated as different polygonal shapes, trees, graphs, etc. In this paper, we will compute irregularity indices for metal-organic networks.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
S. Prabhu ◽  
Y. Sherlin Nisha ◽  
M. Arulperumjothi ◽  
D. Sagaya Rani Jeba ◽  
V. Manimozhi

AbstractCycloparaphenylene is a particle that comprises a few benzene rings associated with covalent bonds in the para positions to frame a ring-like structure. Similarly, poly (para-phenylenes) are macromolecules that include benzenoid compounds straightforwardly joined to each other by C–C bonds. Because of their remarkable architectural highlights, these structures have fascinated attention from numerous vantage focuses. Descriptors are among the most fundamental segments of prescient quantitative structure-activity and property relationship (QSAR/QSPR) demonstrating examination. They encode chemical data of particles as quantitative numbers, which are utilized to create a mathematical correlation. The nature of a predictive model relies upon great demonstrating insights, yet additionally on the extraction of compound highlights. To a great extent, Molecular topology has exhibited its adequacy in portraying sub-atomic structures and anticipating their properties. It follows a two-dimensional methodology, just thinking about the interior plan, including molecules. Explicit subsets speak the design of every atom of topological descriptors. When all around picked, these descriptors give a unique method of describing an atomic system that can represent the most significant highlights of the molecular structure. Detour index is one such topological descriptor with much application in chemistry, especially in QSAR/QSPR studies. This article presents an exact analytical expression for the detour index of cycloparaphenylene and poly (para-phenylene).


2016 ◽  
Vol 45 (16) ◽  
pp. 6901-6908 ◽  
Author(s):  
Barun Dhara ◽  
Subrahmanyam Sappati ◽  
Santosh K. Singh ◽  
Sreekumar Kurungot ◽  
Prasenjit Ghosh ◽  
...  

Remarkable differences in the physicochemical properties of metal–organic gels of Fe(iii) and Al(iii) ions with the TCA ligand is reported.


ChemSusChem ◽  
2017 ◽  
Vol 10 (14) ◽  
pp. 2869-2874 ◽  
Author(s):  
Ruina Dai ◽  
Yangyang Wang ◽  
Jie Wang ◽  
Xianyu Deng

Molecules ◽  
2019 ◽  
Vol 25 (1) ◽  
pp. 24 ◽  
Author(s):  
Edgar Márquez ◽  
José R. Mora ◽  
Virginia Flores-Morales ◽  
Daniel Insuasty ◽  
Luis Calle

The antileukemia cancer activity of organic compounds analogous to ellipticine representes a critical endpoint in the understanding of this dramatic disease. A molecular modeling simulation on a dataset of 23 compounds, all of which comply with Lipinski’s rules and have a structure analogous to ellipticine, was performed using the quantitative structure activity relationship (QSAR) technique, followed by a detailed docking study on three different proteins significantly involved in this disease (PDB IDs: SYK, PI3K and BTK). As a result, a model with only four descriptors (HOMO, softness, AC1RABAMBID, and TS1KFABMID) was found to be robust enough for prediction of the antileukemia activity of the compounds studied in this work, with an R2 of 0.899 and Q2 of 0.730. A favorable interaction between the compounds and their target proteins was found in all cases; in particular, compounds 9 and 22 showed high activity and binding free energy values of around −10 kcal/mol. Theses compounds were evaluated in detail based on their molecular structure, and some modifications are suggested herein to enhance their biological activity. In particular, compounds 22_1, 22_2, 9_1, and 9_2 are indicated as possible new, potent ellipticine derivatives to be synthesized and biologically tested.


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