Emerging Technologies for Antiviral Drug Discovery

Lakshmi, Baddireddi Subhadra; Abillasha, Mohan Latha; Kangueane, Pandjassarame

doi:10.1007/978-3-030-29022-1_3

Cited by 2 publications

(2 citation statements)

References 105 publications

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“…In this context, the use of bioinformatics approaches may help filling the gap of missing data and improve the process of knowledge discovery by elucidating molecular mechanisms behind virus replication, the process of viral attachment to the host cells and the effect on the host molecular pathways [18]. The final understanding of the molecular action of the virus may improve or accelerate the development of anti-viral therapeutic approaches using information and data available for other coronaviruses [19]. Here, we applied a network approach to investigate cellular responses to the interaction of human cells with SARS and MERS viruses to get more insights into the molecular mechanisms regulating susceptibility to infection and transmission.…”

Section: Introductionmentioning

confidence: 99%

Master Regulator Analysis of the SARS-CoV-2/Human interactome

Guzzi

Mercatelli

Ceraolo

et al. 2020

Preprint

103

119

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the recent epidemic outbreak of a novel human coronavirus called SARS-CoV-2 and causing the respiratory tract disease COVID-19 has reached worldwide resonance and a global effort is being undertaken to characterize the molecular features and evolutionary origins of this virus. In this paper, we set out to shed light on the SARS-CoV-2/host receptor recognition, a crucial factor for successful virus infection. Based on the current knowledge of the interactome between SARS-CoV-2 and host cell proteins, we performed Master Regulator Analysis to detect which parts of the human interactome are most affected by the infection. We detected, amongst others, affected apoptotic and mitochondrial mechanisms, and a downregulation of the ACE2 protein receptor, notions that can be used to develop specific therapies against this new virus.

show abstract

Section: Introductionmentioning

confidence: 99%

Master Regulator Analysis of the SARS-CoV-2/Human interactome

Guzzi

Mercatelli

Ceraolo

et al. 2020

Preprint

103

119

View full text Add to dashboard Cite

show abstract

“…In this context, the use of bioinformatics approaches may help to fill the gap of missing data and to improve the process of knowledge discovery by elucidating molecular mechanisms behind virus replication, the process of viral attachment to the host cells and the effect on the host molecular pathways [18]. The final understanding of the molecular action of the virus may improve or accelerate the development of anti-viral therapeutic approaches using information and data available for other coronaviruses [19].…”

Section: Introductionmentioning

confidence: 99%

Master Regulator Analysis of the SARS-CoV-2/Human Interactome

Guzzi

Mercatelli

Ceraolo

et al. 2020

JCM

168

View full text Add to dashboard Cite

The recent epidemic outbreak of a novel human coronavirus called SARS-CoV-2 causing the respiratory tract disease COVID-19 has reached worldwide resonance and a global effort is being undertaken to characterize the molecular features and evolutionary origins of this virus. In this paper, we set out to shed light on the SARS-CoV-2/host receptor recognition, a crucial factor for successful virus infection. Based on the current knowledge of the interactome between SARS-CoV-2 and host cell proteins, we performed Master Regulator Analysis to detect which parts of the human interactome are most affected by the infection. We detected, amongst others, affected apoptotic and mitochondrial mechanisms, and a downregulation of the ACE2 protein receptor, notions that can be used to develop specific therapies against this new virus.

show abstract

Emerging Technologies for Antiviral Drug Discovery

Cited by 2 publications

References 105 publications

Master Regulator Analysis of the SARS-CoV-2/Human interactome

Master Regulator Analysis of the SARS-CoV-2/Human interactome

Master Regulator Analysis of the SARS-CoV-2/Human Interactome

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