Author

Laxman Nawale

Korea Research Institute of Bioscience and Biotechnology

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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Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Cheolju LeeiD· 1 shared Dong Hyun KimiD· 1 shared Han Kyul LeeiD· 1 shared Hyunjoo Cha‐MolstadiD· 1 shared Jung Gi KimiD· 1 shared Narae ParkiD· 1 shared Seonjeong LeeiD· 1 shared Shinyeong JuiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperSystems Biology

Cheolju LeeORCID

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1 paper

Recent·Most cited

Implementing N-terminomics and machine learning to probe in vivo Nt-arginylation

Shinyeong Ju, Laxman Nawale, Seonjeong Lee, Jung Gi Kim, Han Kyul Lee, Narae Park, Dong Hyun Kim, Hyunjoo Cha‐Molstad, Cheolju Lee

This study identifies in vivo Nt-arginylation sites using N-terminomics combined with machine learning, revealing increased arginylation under UPR stress and its localization across organelles.

Nature Communications · Dec 9, 2025Peer-reviewedSystems Biology