Author

Young Do Kwon

National Institutes of Health

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

Approach:deep learning· 1 Organism:human· 1 Research Focus:protein folding & dynamics· 1 Assay:protein structure· 1

Frequent Co-Authors

Alina P. SergeevaiD· 1 shared Baoshan ZhangiD· 1 shared Barry H. HonigiD· 1 shared Eswar ReddemiD· 1 shared Fabiana A. Bahna· 1 shared Jared M. SampsoniD· 1 shared Lawrence S. ShapiroiD· 1 shared Peter D. KwongiD· 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 paperBiophysics

Alina P. SergeevaORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

A functional investigation of antibody Fc-FcRn variant binding guided by in silico free energy perturbation methods

Jared M. Sampson, Alina P. Sergeeva, Tianyang Gao, Young Do Kwon, Eswar Reddem, Fabiana A. Bahna, Seetha M. Mannepalli, Baoshan Zhang, Peter D. Kwong, Lawrence S. Shapiro, Barry H. Honig, Richard A. Friesner

This paper uses free energy perturbation (FEP) calculations to predict and improve the accuracy of Fc-FcRn binding energy changes due to mutations, incorporating conformational changes and coupling effects.