Author

Junwen Guo

Umeå University

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

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Frequent Co-Authors

Chamsai PientongiD· 1 shared Hans Jørgen OvergaardiD· 1 shared Henrik SjödiniD· 1 shared Narathit Chanraeng· 1 shared Peter FranssoniD· 1 shared Supranee PhanthanawibooniD· 1 shared Tarapong SrisongkramiD· 1 shared Tipaya EkalaksanananiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Chamsai PientongORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Machine learning-based framework for predicting human infection potential of coronavirus associated with tri-amino acid motifs, KIQ and LEP in spike protein

Narathit Chanraeng, Junwen Guo, Tarapong Srisongkram, Yothin Hinwan, Peter Fransson, Henrik Sjödin, Yoshiharu Matsuura, Hans Jørgen Overgaard, Watcharapong Panthong, Tipaya Ekalaksananan, Chamsai Pientong, Supranee Phanthanawiboon

This paper develops a machine learning framework to predict human infection potential of coronaviruses using spike protein sequences, identifying motifs KIQ and LEP associated with human infection.

bioRxiv · Feb 16, 2026 · PreprintBioinformatics