Author

Murali Aravamudan

Nference (United States)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1

Frequent Co-Authors

Arjun Puranik· 2 shared Agustin Lopez Marquez· 1 shared AJ VenkatakrishnaniD· 1 shared Ajit Rajasekharan· 1 shared Enrique Garcia-RiveraiD· 1 shared Jiho ParkiD· 1 shared Praveen AnandiD· 1 shared Venky SoundararajaniD· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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2 shared papersBioinformatics

Arjun Puranik

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2 papers

Recent·Most cited

SARS-CoV-2 selectively mimics a cleavable peptide of human ENaC in a strategic hijack of host proteolytic machinery

Praveen Anand, Arjun Puranik, Murali Aravamudan, AJ Venkatakrishnan, Venky Soundararajan

The paper identifies a SARS-CoV-2 peptide that mimics a human ENaC cleavage site, exploiting host proteolytic machinery and linking it to COVID-19 pathophysiology.

eLife · May 26, 2020Peer-reviewedBioinformatics

Recapitulation and Retrospective Prediction of Biomedical Associations Using Temporally-enabled Word Embeddings

Jiho Park, Agustin Lopez Marquez, Arjun Puranik, Ajit Rajasekharan, Murali Aravamudan, Enrique Garcia-Rivera

This paper uses temporally-enabled word embeddings to recapitulate and predict disease-gene associations from OMIM data, achieving high AUC and predicting some associations before their first literature mention.

bioRxiv · May 7, 2019 · PreprintBioinformatics