Author

Sungjun 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

Biophysics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Bomi JeongiD· 1 shared Hajin Lee· 1 shared In Jung KimiD· 1 shared Jumin Lee· 1 shared Minsik BaeiD· 1 shared Seonghoon KimiD· 1 shared Sunhwan JoiD· 1 shared Wonpil ImiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 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 paperBiophysics

Bomi JeongORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Comparative Analysis of Relative Ligand Binding Free Energy Simulation Methods: Amber-TI, GROMACS-NETI, OpenMM-FEP, and BLaDE-MSLD

Hajin Lee, In Jung Kim, Sungjun Kim, Minsik Bae, Bomi Jeong, Seonghoon Kim, Sunhwan Jo, Jumin Lee, Wonpil Im

This study compares four ligand binding free energy methods using the same force field and finds they show comparable accuracy with no significant performance differences.

Journal of Chemical Theory and Computation · Oct 9, 2026Peer-reviewedBiophysics