The Significance of Super Intelligence of Artificial Intelligence Agencies in the Social Savageries of COVID-19: An Appraisal

Das, Kabita; Pattanaik, Manaswini; Paital, Biswaranjan

doi:10.1007/978-3-031-17778-1_16

Cited by 2 publications

(2 citation statements)

References 47 publications

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“…Coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a global public health crisis. Vaccines saved many lives despite numerous clinical trials for medicines against SAR-CoV-2 is under process ( World Health Organization, 2020 ; Das et al, 2023 ). With nearly 765 million cases and 6.9 million deaths worldwide as of 3rd May 2023, 1 there exists a vital need to identify or develop novel therapeutic interventions.…”

Section: Introductionmentioning

confidence: 99%

Insilico generation of novel ligands for the inhibition of SARS-CoV-2 main protease (3CLpro) using deep learning

Prabhakaran

Hebbani²,

Menon

et al. 2023

Front. Microbiol.

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The recent emergence of novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causing the coronavirus disease (COVID-19) has become a global public health crisis, and a crucial need exists for rapid identification and development of novel therapeutic interventions. In this study, a recurrent neural network (RNN) is trained and optimized to produce novel ligands that could serve as potential inhibitors to the SARS-CoV-2 viral protease: 3 chymotrypsin-like protease (3CLpro). Structure-based virtual screening was performed through molecular docking, ADMET profiling, and predictions of various molecular properties were done to evaluate the toxicity and drug-likeness of the generated novel ligands. The properties of the generated ligands were also compared with current drugs under various phases of clinical trials to assess the efficacy of the novel ligands. Twenty novel ligands were selected that exhibited good drug-likeness properties, with most ligands conforming to Lipinski’s rule of 5, high binding affinity (highest binding affinity: −9.4 kcal/mol), and promising ADMET profile. Additionally, the generated ligands complexed with 3CLpro were found to be stable based on the results of molecular dynamics simulation studies conducted over a 100 ns period. Overall, the findings offer a promising avenue for the rapid identification and development of effective therapeutic interventions to treat COVID-19.

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Section: Introductionmentioning

confidence: 99%

Insilico generation of novel ligands for the inhibition of SARS-CoV-2 main protease (3CLpro) using deep learning

Prabhakaran

Hebbani²,

Menon

et al. 2023

Front. Microbiol.

Self Cite

View full text Add to dashboard Cite

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“…The corona virus, also known as COVID-19, has spread quickly over the world and is responsible for a serious worldwide health problem. Artificial intelligence (AI) has become an important weapon in the fight against the virus in the face of this pandemic [4]. The COVID-19 response has benefited greatly from the use of AI applications in many different ways.…”

Section: Introductionmentioning

confidence: 99%

Discussing Artificial Intelligence's Role in Combatting the COVID-19 Pandemic: A Review

2023

Mesopotamian Journal of Artificial Intelligence in Healthcare

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The COVID-19 pandemic is considered one of the most dangerous diseases that have emerged in recent years, as it began at the end of 2019 in China and quickly spread to become a severe epidemic. This virus has become, in a short period of time, threatening millions of the earth's populations, and infected individuals show symptoms that may lead to the loss of their lives. In this article, the author concentrates on the significance and methods of artificial intelligence strategies in facing COVID-19 and the primary role of these technologies. AI techniques have been applied in various areas, including creating diagnostic tools, predicting disease transmission, identifying new treatments, and improving resource allocation. Moreover, these techniques have been employed to analyze medical images to find symptoms of COVID-19 in patients, speeding up diagnosis and reducing transmission risks. Public health professionals can more efficiently allocate resources thanks to machine learning models that have been trained on data from other pandemics to anticipate the spread of COVID-19 and identify possible outbreaks. Large datasets of currently available medications have also been analyzed using AI to find potential new molecules.

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The Significance of Super Intelligence of Artificial Intelligence Agencies in the Social Savageries of COVID-19: An Appraisal

Cited by 2 publications

References 47 publications

Insilico generation of novel ligands for the inhibition of SARS-CoV-2 main protease (3CLpro) using deep learning

Insilico generation of novel ligands for the inhibition of SARS-CoV-2 main protease (3CLpro) using deep learning

Discussing Artificial Intelligence's Role in Combatting the COVID-19 Pandemic: A Review

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