Objective Workers performing emotional labor are at increased risk for depression, yet conventional self-report assessments often lack objectivity and temporal sensitivity. This study aimed to examine whether longitudinal analysis of daily natural language collected through ecological momentary assessment (EMA) can ser...
Hye Hyeon Kim, S. Kim, Dae-Kwang Kim et al.· Psychiatry Investigation· 0 citations
Motivation Accurate peptide–MHC class II (pMHC-II) binding prediction is complicated by MHC polymorphism and context-dependent peptide recognition. Protein representations are usually evaluated in different pipelines, obscuring their contribution to predictive performance. Results We present PREpiBind, a joint-attentio...
D.-K. Jang, Dongwoo Kim, Untaek Hwang et al.· bioRxiv· 0 citations
STRUMP-I (STRUcture-based pMHC Prediction for class I), a novel pMHC-I binding prediction tool that directly leverages a broad set of force-field-derived energy terms as machine learning features, achieved performance comparable to state-of-the-art sequence-based models overall and showed a clear advantage for alleles...
Adam Voshall, Jeongjun Chae, Honglan Li et al.· Computational and Structural...· 0 citations
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