Author

Christopher S. Francklyn

University of VermontORCID 0000-0002-6075-4037Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:Bayesian inference· 1 Organism:human· 1 Assay:protein structure· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Kayla LiebeskindiD· 1 shared Ramiro Barrantes-ReynoldsiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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

Kayla LiebeskindORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintMay 26, 2026

Structural distance at the tRNA synthetase active site interface predicts pathogenicity but is captured by AlphaMissense and EVE except among score-ambiguous variants

Kayla Liebeskind, Christopher S. Francklyn, Ramiro Barrantes-Reynolds

The paper investigates if structural distance to the tRNA-binding interface improves missense variant pathogenicity prediction, finding that existing models like AlphaMissense and EVE already capture this information.

DOI 10.64898/2026.05.22.727252

humanprotein structure

𝕏 PostBluesky