Author

Gunasekaran Subramaniam

University of OxfordORCID 0000-0001-6191-4920Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Assay:proteomics· 2 Research Focus:cell-cell communication· 1 Research Focus:gene regulatory network inference· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Kalimuthu KaruppananiD· 3 shared Suresh KumariD· 3 shared Thiviya S. Thambiraja· 2 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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3 shared papersBioinformatics

Kalimuthu KaruppananORCID

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3 papers

Recent·Most cited

BioinformaticsJournal of Medical VirologyPeer-reviewedJun 9, 2022

Omicron (BA.1) and Sub-Variants (BA.1, BA.2 and BA.3) of SARS-CoV-2 Spike Infectivity and Pathogenicity: A Comparative Sequence and Structural-based Computational Assessment

Suresh Kumar, Kalimuthu Karuppanan, Gunasekaran Subramaniam

This study compares the infectivity and pathogenicity of SARS-CoV-2 Omicron variants using computational analysis of mutations and structural interactions.

223 citationstop 1%

humanproteomics

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BioinformaticsJournal of Medical VirologyPeer-reviewedDec 15, 2021

Omicron and Delta Variant of SARS-CoV-2: A Comparative Computational Study of Spike protein

Suresh Kumar, Thiviya S. Thambiraja, Kalimuthu Karuppanan, Gunasekaran Subramaniam

This study compares the Delta and Omicron variants of SARS-CoV-2, finding that Omicron has higher ACE2 binding affinity and structural stability due to mutations in the spike protein.

579 citationstop 1%

humanprotein structure

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BioinformaticsbioRxivPreprintOct 28, 2021

Identification of COVID-19 and COPD common key genes and pathways using a protein-protein interaction approach

Thiviya S. Thambiraja, Kalimuthu Karuppanan, Gunasekaran Subramaniam, Suresh Kumar

This study identifies common key genes and pathways between COVID-19 and COPD using a protein-protein interaction network approach.

DOI 10.1101/2021.10.28.466298

humanproteomics

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