Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). TCRconv: predicting recognition between T cell receptors and epitopes using contextualized motifs. Retrieved May 24, 2026, from https://4ort.xyz/entity/tcrconv-predicting-recognition-between-t-cell-receptors-and-epitopes-using-contextualized-motifs
MLA“TCRconv: predicting recognition between T cell receptors and epitopes using contextualized motifs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/tcrconv-predicting-recognition-between-t-cell-receptors-and-epitopes-using-contextualized-motifs.
BibTeX@misc{4ortxyz_tcrconv-predicting-recognition-between-t-cell-receptors-and-epitopes-using-contextualized-motifs_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{TCRconv: predicting recognition between T cell receptors and epitopes using contextualized motifs}}, year = {2026}, url = {https://4ort.xyz/entity/tcrconv-predicting-recognition-between-t-cell-receptors-and-epitopes-using-contextualized-motifs}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): TCRconv: predicting recognition between T cell receptors and epitopes using contextualized motifs — https://4ort.xyz/entity/tcrconv-predicting-recognition-between-t-cell-receptors-and-epitopes-using-contextualized-motifs (retrieved 2026-05-24)