Home › Entities › written_work › Data-driven Methods and Models for Predicting Protein Structure Using Dynamic Fragments and Rotamers

Data-driven Methods and Models for Predicting Protein Structure Using Dynamic Fragments and Rotamers

doctoral thesis by Steven J. Rysavy, University of Washington, 2014
Place written_work Q110719523
Press Enter · cited answer in seconds

Data-driven Methods and Models for Predicting Protein Structure Using Dynamic Fragments and Rotamers

Summary

Data-driven Methods and Models for Predicting Protein Structure Using Dynamic Fragments and Rotamers is a written work[1].

Key Facts

  • Data-driven Methods and Models for Predicting Protein Structure Using Dynamic Fragments and Rotamers authored Steven J Rysavy[2].
  • Data-driven Methods and Models for Predicting Protein Structure Using Dynamic Fragments and Rotamers's instance of is recorded as written work[3].
  • Data-driven Methods and Models for Predicting Protein Structure Using Dynamic Fragments and Rotamers's instance of is recorded as doctoral thesis[4].
  • Data-driven Methods and Models for Predicting Protein Structure Using Dynamic Fragments and Rotamers's OCLC number is recorded as 890826658[5].
  • Data-driven Methods and Models for Predicting Protein Structure Using Dynamic Fragments and Rotamers's language of work or name is recorded as English[6].
  • +2014-00-00T00:00:00Z marks the founding of Data-driven Methods and Models for Predicting Protein Structure Using Dynamic Fragments and Rotamers[7].
  • Data-driven Methods and Models for Predicting Protein Structure Using Dynamic Fragments and Rotamers's work available at URL is recorded as http://hdl.handle.net/1773/25437[8].
  • Data-driven Methods and Models for Predicting Protein Structure Using Dynamic Fragments and Rotamers's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q1069725', 'amount': '+161'}[9].
  • Data-driven Methods and Models for Predicting Protein Structure Using Dynamic Fragments and Rotamers's Handle ID is recorded as 1773/25437[10].
  • Data-driven Methods and Models for Predicting Protein Structure Using Dynamic Fragments and Rotamers's title is recorded as Data-driven Methods and Models for Predicting Protein Structure Using Dynamic Fragments and Rotamers[11].
  • Data-driven Methods and Models for Predicting Protein Structure Using Dynamic Fragments and Rotamers's thesis submitted to is recorded as University of Washington[12].
  • Data-driven Methods and Models for Predicting Protein Structure Using Dynamic Fragments and Rotamers's on focus list of Wikimedia project is recorded as WikiProject PCC Wikidata Pilot/University of Washington[13].
  • Data-driven Methods and Models for Predicting Protein Structure Using Dynamic Fragments and Rotamers's thesis committee member is recorded as Valerie Daggett[14].

Body

Designation and Status

Recorded instance of include written work[3] and doctoral thesis[4].

History and Context

+2014-00-00T00:00:00Z marks the founding of Data-driven Methods and Models for Predicting Protein Structure Using Dynamic Fragments and Rotamers[7].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [3] ↑ . WorldCat. wikidata.org.
  2. [4] ↑ . WorldCat. wikidata.org.
  3. [2] ↑ . WorldCat. wikidata.org.
  4. [5] ↑ . WorldCat. wikidata.org.
  5. [6] ↑ . WorldCat. wikidata.org.
  6. [7] ↑ . WorldCat. wikidata.org.
  7. [8] ↑ . WorldCat. wikidata.org.
  8. [9] ↑ . WorldCat. wikidata.org.
  9. [10] ↑ . WorldCat. wikidata.org.
  10. [11] ↑ . WorldCat. wikidata.org.
  11. [12] ↑ . WorldCat. wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . WorldCat. wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Data-driven Methods and Models for Predicting Protein Structure Using Dynamic Fragments and Rotamers. Retrieved May 3, 2026, from https://4ort.xyz/entity/data-driven-methods-and-models-for-predicting-protein-structure-using-dynamic-fragments-and-rotamers
MLA “Data-driven Methods and Models for Predicting Protein Structure Using Dynamic Fragments and Rotamers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/data-driven-methods-and-models-for-predicting-protein-structure-using-dynamic-fragments-and-rotamers.
BibTeX @misc{4ortxyz_data-driven-methods-and-models-for-predicting-protein-structure-using-dynamic-fragments-and-rotamers_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Data-driven Methods and Models for Predicting Protein Structure Using Dynamic Fragments and Rotamers}}, year = {2026}, url = {https://4ort.xyz/entity/data-driven-methods-and-models-for-predicting-protein-structure-using-dynamic-fragments-and-rotamers}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Data-driven Methods and Models for Predicting Protein Structure Using Dynamic Fragments and Rotamers — https://4ort.xyz/entity/data-driven-methods-and-models-for-predicting-protein-structure-using-dynamic-fragments-and-rotamers (retrieved 2026-05-03)

Canonical URL: https://4ort.xyz/entity/data-driven-methods-and-models-for-predicting-protein-structure-using-dynamic-fragments-and-rotamers · Last refreshed: