Distance based and bond additive topological indices of certain repurposed antiviral drug compounds tested for treating <scp>COVID</scp>‐19

Liu, Jia‐Bao; Arockiaraj, Micheal; Arulperumjothi, M.; Prabhu, S.

doi:10.1002/qua.26617

Cited by 63 publications

(32 citation statements)

References 33 publications

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“…Topological indices of some chemical structures applied for the treatment of COVID-19 are extensively studied [36]. Distance based and bond additive topological indices of certain repurposed antiviral drug compounds tested for treating COVID-19 are briefly explained by Liu et al [37]. In this paper, we obtain the physical chemical properties and the biological activity of the molecular structure of the para-line graph of Remdesivir.…”

Section: Molecular Graph Of Ethene (C) Subdivision Graph Of Ethene (D) Para-line Graph Of Ethenementioning

confidence: 99%

Topological analysis of para‐line graph of Remdesivir used in the prevention of corona virus

Liu

Singaraj

2021

Int J of Quantum Chemistry

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Topological indices are the molecular descriptors that characterize the formation of chemical compounds and they assist us to predict certain physical-chemical properties like molar refraction, molar volume, chromatographic behavior, boiling point, heat of vaporization and partition coefficient. The computation of the topological index of a drug design enable researchers to have a high quality conception of the physical science and bioorganic characteristics of drugs. Reverse degree based topological indices play important role for calculation of topological descriptor. Para-line graphs are used to illustrate the molecular structure in another way and these illustrations are valuable in structural chemistry. In this article, we present some reverse degree based 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 different types of Zagreb indices for the para-line graph of Remdesivir. The results attained can help in the design of new medicine for the prevention of corona virus.

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Section: Molecular Graph Of Ethene (C) Subdivision Graph Of Ethene (D) Para-line Graph Of Ethenementioning

confidence: 99%

Topological analysis of para‐line graph of Remdesivir used in the prevention of corona virus

Liu

Singaraj

2021

Int J of Quantum Chemistry

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“…g while for two edges e ¼ uv and f ¼ xy the distance between them denoted by [27] and widely discussed in References [28][29][30][31] as…”

Section: Topological Descriptorsmentioning

confidence: 99%

Molecular structural characterization of superphenalene and supertriphenylene

Radhakrishnan

Prabhu²,

Arockiaraj³

et al. 2021

Int J of Quantum Chemistry

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Innovative discovery in bottom-line research and industrial utilization of graphene material has made its mass and low-cost creation an essential advance. This oneatom thick luminous of carbon accumulates a set of different physico-chemical properties, going from its extraordinary mechanical conduct to its uncommon electrical and warm conductivities, which are making graphene a genuine choice to trade numerous customary materials for different applications. Hexabenzocoronene (HBC) is one of the model frameworks for graphene. Because of extremely solid π À π stacking cooperations prompting a columnar plan inside the HBC crystal the subsequent material is as insoluble as graphene. In this paper, we derive the explicit analytic expressions of distance and degree-based topological indices of super-polycyclic aromatic compounds with HBC as a base molecule, such as superphenalene and supertriphenylene.

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“…At last, we use a 1 × 1 convolution kernel to convolve the stitched feature map, before joining them with the operation of Concat and Add [26]. In particular, Concat feature fusion achieves superposition on the number of dimensions [25]. On the other hand, the Add feature fusion is used to increase the amount of information in each dimension, which is done by adding the corresponding feature maps before proceeding to the next convolution operation (see Figure 2).…”

Section: Multiresolution Feature Fusionmentioning

confidence: 99%

AEMF: An Attention-Based Efficient and Multifeature Fast Text Detector

Yang

et al. 2021

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The label from industrial commodity packaging usually contains important data, such as production date, manufacturer, and other commodity-related information. As such, those labels are essential for consumers to purchase goods, help commodity supervision, and reveal potential product safety problems. Consequently, packaging label detection, as the prerequisite for product label identification, becomes a very useful application, which has achieved promising results in the past decades. Yet, in complex industrial scenarios, traditional detection methods are often unable to meet the requirements, which suffer from many problems of low accuracy and efficiency. In this paper, we propose a multifeature fast and attention-based algorithm using a combination of area suggestion and semantic segmentation. This algorithm is an attention-based efficient and multifeature fast text detector (termed AEMF). The proposed approach is formed by fusing segmentation branches and detection branches with each other. Based on the original algorithm that can only detect text in any direction, it is possible to detect different shapes with a better accuracy. Meanwhile, the algorithm also works better on long-text detection. The algorithm was evaluated using ICDAR2015, CTW1500, and MSRA-TD500 public datasets. The experimental results show that the proposed multifeature fusion with self-attention module makes the algorithm more accurate and efficient than existing algorithms. On the MSRA-TD500 dataset, the AEMF algorithm has an F-measure of 72.3% and a frame per second (FPS) of 8. On the CTW1500 dataset, the AEMF algorithm has an F-measure of 62.3% and an FPS of 23. In particular, the AEMF algorithm has achieved an F-measure of 79.3% and an FPS of 16 on the ICDAR2015 dataset, demonstrating the excellent performance in detecting label text on industrial packaging.

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Distance based and bond additive topological indices of certain repurposed antiviral drug compounds tested for treating COVID‐19

Cited by 63 publications

References 33 publications

Topological analysis of para‐line graph of Remdesivir used in the prevention of corona virus

Topological analysis of para‐line graph of Remdesivir used in the prevention of corona virus

Molecular structural characterization of superphenalene and supertriphenylene

AEMF: An Attention-Based Efficient and Multifeature Fast Text Detector

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