Author

Maengsup Kim

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:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:graph neural network· 1 Organism:human· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1

Frequent Co-Authors

Dae Ryong KangiD· 1 shared Hoyeon JeongiD· 1 shared Jungsoo GimiD· 1 shared Seung‐Kuy ChaiD· 1 shared Young‐Rae ChoiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 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

Dae Ryong KangORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

GraphMHC: neoantigen prediction model applying the graph neural network to molecular structure

Hoyeon Jeong, Young‐Rae Cho, Jungsoo Gim, Seung‐Kuy Cha, Maengsup Kim, Dae Ryong Kang

GraphMHC predicts neoantigen binding using graph neural networks on molecular structures, achieving high accuracy and showing survival differences in melanoma patients.

PLoS ONE · Mar 27, 2024Peer-reviewedBioinformatics