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Year Number of Results
1984 2
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1994 4
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1996 5
1997 9
1998 7
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2000 33
2001 45
2002 41
2003 60
2004 64
2005 69
2006 72
2007 72
2008 76
2009 90
2010 85
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1,521 results

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Page 1
On Degree-Based Topological Indices of Carbon Nanocones.
Sharma K, Bhat VK, Sharma SK. Sharma K, et al. ACS Omega. 2022 Dec 2;7(49):45562-45573. doi: 10.1021/acsomega.2c06287. eCollection 2022 Dec 13. ACS Omega. 2022. PMID: 36530320 Free PMC article.
Topological descriptors are numerical numbers that are assigned to molecular structures and can predict certain physicochemical properties. ...In this paper, we discuss the ev-degree- and ve-degree-based topological indices for the generalized carbon nanocone …
Topological descriptors are numerical numbers that are assigned to molecular structures and can predict certain physicochemica …
Topological analysis of tetracyanobenzene metal-organic framework.
Al-Dayel I, Nadeem MF, Khan MA. Al-Dayel I, et al. Sci Rep. 2024 Jan 20;14(1):1789. doi: 10.1038/s41598-024-52194-1. Sci Rep. 2024. PMID: 38245615 Free PMC article.
Chemical graph theory emerges as a critical tool, providing a mathematical model to represent the molecular structure of these frameworks. Topological indices/molecular descriptors are mathematical formulations applied to molecular models, enabling the analysis of p …
Chemical graph theory emerges as a critical tool, providing a mathematical model to represent the molecular structure of these frameworks. …
Sombor topological indices for different nanostructures.
Imran M, Ismail R, Azeem M, Jamil MK, Al-Sabri EHA. Imran M, et al. Heliyon. 2023 Oct 5;9(10):e20600. doi: 10.1016/j.heliyon.2023.e20600. eCollection 2023 Oct. Heliyon. 2023. PMID: 37867810 Free PMC article.
Topological Sholl descriptors for neuronal clustering and classification.
Khalil R, Kallel S, Farhat A, Dlotko P. Khalil R, et al. PLoS Comput Biol. 2022 Jun 22;18(6):e1010229. doi: 10.1371/journal.pcbi.1010229. eCollection 2022 Jun. PLoS Comput Biol. 2022. PMID: 35731804 Free PMC article.
Sholl descriptors were subsequently computed, and standard clustering methods enhanced with detection and metric learning algorithms were then used to objectively cluster and classify each dataset. Importantly, our descriptors outperformed conventional morphometric …
Sholl descriptors were subsequently computed, and standard clustering methods enhanced with detection and metric learning algorithms …
Topological Properties of Sierpinski Network and its Application.
Fang J, Rafiullah M, Siddiqui HMA. Fang J, et al. Comb Chem High Throughput Screen. 2022;25(3):568-578. doi: 10.2174/1386207324666210713114755. Comb Chem High Throughput Screen. 2022. PMID: 34259141
BACKGROUND: Sierpinski graphs S(n, k) are largely studied because of their fractal nature with applications in topology, chemistry, mathematics of Tower of Hanoi and computer sciences. Applications of molecular structure descriptors are a standard procedure which are used …
BACKGROUND: Sierpinski graphs S(n, k) are largely studied because of their fractal nature with applications in topology, chemistry, mathemat …
A Topological Representation of Branching Neuronal Morphologies.
Kanari L, Dłotko P, Scolamiero M, Levi R, Shillcock J, Hess K, Markram H. Kanari L, et al. Neuroinformatics. 2018 Jan;16(1):3-13. doi: 10.1007/s12021-017-9341-1. Neuroinformatics. 2018. PMID: 28975511 Free PMC article.
Our understanding of their systematic roles is hampered from the start by the lack of a fundamental means of standardizing the description of complex branching patterns, such as those of neuronal trees. To solve this problem, we have invented the Topological Morphology …
Our understanding of their systematic roles is hampered from the start by the lack of a fundamental means of standardizing the description o …
Chemical graphs, molecular matrices and topological indices in chemoinformatics and quantitative structure-activity relationships.
Ivanciuc O. Ivanciuc O. Curr Comput Aided Drug Des. 2013 Jun;9(2):153-63. doi: 10.2174/1573409911309020002. Curr Comput Aided Drug Des. 2013. PMID: 23701000 Review.
We present here a selection of the most important graph descriptors and topological indices, including molecular matrices, graph spectra, spectral moments, graph polynomials, and vertex topological indices. ...The molecular descriptors and topologic …
We present here a selection of the most important graph descriptors and topological indices, including molecular matrices, gra …
Topological Learning for the Classification of Disorder: An Application to the Design of Metasurfaces.
Madeleine T, Podoliak N, Buchnev O, Membrillo Solis I, Orlova T, van Rossem M, Kaczmarek M, D'Alessandro G, Brodzki J. Madeleine T, et al. ACS Nano. 2023 Dec 18;18(1):630-40. doi: 10.1021/acsnano.3c08776. Online ahead of print. ACS Nano. 2023. PMID: 38108267 Free PMC article.
The accuracy of these topological descriptors is illustrated both theoretically and experimentally by using them to design plasmonic metasurfaces with controlled disorder that we then correlate to the strength of their surface lattice resonances. These descriptor …
The accuracy of these topological descriptors is illustrated both theoretically and experimentally by using them to design pla …
Molecular van der Waals space and topological indices from the distance matrix.
Ciubotariu D, Medeleanu M, Vlaia V, Olariu T, Ciubotariu C, Dragos D, Corina S. Ciubotariu D, et al. Molecules. 2004 Dec 31;9(12):1053-78. doi: 10.3390/91201053. Molecules. 2004. PMID: 18007504 Free PMC article. Review.
A comparative study of 36 molecular descriptors derived from the topological distance matrix and van der Waals space is carried out within this paper. They are partitioned into 16 generalized topological distance matrix indices, 11 topological distance …
A comparative study of 36 molecular descriptors derived from the topological distance matrix and van der Waals space is carrie …
1,521 results