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). Improving homology modeling from low-sequence identity templates in Rosetta: A case study in GPCRs. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-homology-modeling-from-low-sequence-identity-templates-in-rosetta-a-case-study-in-gpcrs
MLA“Improving homology modeling from low-sequence identity templates in Rosetta: A case study in GPCRs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-homology-modeling-from-low-sequence-identity-templates-in-rosetta-a-case-study-in-gpcrs.
BibTeX@misc{4ortxyz_improving-homology-modeling-from-low-sequence-identity-templates-in-rosetta-a-case-study-in-gpcrs_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving homology modeling from low-sequence identity templates in Rosetta: A case study in GPCRs}}, year = {2026}, url = {https://4ort.xyz/entity/improving-homology-modeling-from-low-sequence-identity-templates-in-rosetta-a-case-study-in-gpcrs}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving homology modeling from low-sequence identity templates in Rosetta: A case study in GPCRs — https://4ort.xyz/entity/improving-homology-modeling-from-low-sequence-identity-templates-in-rosetta-a-case-study-in-gpcrs (retrieved 2026-05-24)