Author

Mukesh Doble

Indian Institute of Technology MadrasORCID 0000-0002-4335-0698Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:proteomics· 1

Frequent Co-Authors

Gourvendu SaxenaiD· 1 shared Murugesh EaswaraniD· 1 shared P. Ambili UnniiD· 1 shared Radhika RavindraniD· 1 shared S. Vino· 1 shared Sajitha Lulu SiD· 1 shared Shoba GunasekaraniD· 1 shared Utkarsh Khandelwal· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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1 shared paperSystems Biology

Gourvendu SaxenaORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMar 26, 2021

Immunoinformatic approach to design a vaccine against SARS-COV-2 membrane glycoprotein

Radhika Ravindran, Shoba Gunasekaran, Murugesh Easwaran…·Mukesh Doble

The paper designs a multiepitope vaccine against SARS-CoV-2 membrane protein using immunoinformatic methods and identifies an epitope with strong binding to HLA-A and HLA-B alleles.

1 citation

proteomicsstatistical model

Systems BiologybioRxivPreprintJul 25, 2019

Mathematical modeling of the role of α-synuclein and dopamine in cell death in Parkinson’s disease provides the molecular basis to the toxicity of different point mutations

Gourvendu Saxena, Utkarsh Khandelwal, Mukesh Doble

The paper models the role of α-synuclein and dopamine in cell death in Parkinson’s disease, showing how mutations affect toxicity through oxidative stress and dopamine pathways.

DOI 10.1101/714600

humanstatistical model