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Pymolsar: A Python-based Toolkit to Predict the Activity and Property of Small Molecules

master's thesis by Rahul Avadhoot, University of Washington, 2018
CreativeWork master_s_thesis Q110932640
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Summary

Pymolsar: A Python-based Toolkit to Predict the Activity and Property of Small Molecules is a master's thesis[1].

Key Facts

  • Pymolsar: A Python-based Toolkit to Predict the Activity and Property of Small Molecules authored A Python-based Toolkit to Predict the Activity and Property of Small Molecules — author (P50): Rahul Avadhoot[2].
  • Pymolsar: A Python-based Toolkit to Predict the Activity and Property of Small Molecules's instance of is recorded as A Python-based Toolkit to Predict the Activity and Property of Small Molecules — instance of (P31): master's thesis[3].
  • Pymolsar: A Python-based Toolkit to Predict the Activity and Property of Small Molecules's instance of is recorded as A Python-based Toolkit to Predict the Activity and Property of Small Molecules — instance of (P31): written work[4].
  • Pymolsar: A Python-based Toolkit to Predict the Activity and Property of Small Molecules's OCLC number is recorded as 1043359957[5].
  • Pymolsar: A Python-based Toolkit to Predict the Activity and Property of Small Molecules's language of work or name is recorded as A Python-based Toolkit to Predict the Activity and Property of Small Molecules — language of work or name (P407): English[6].
  • +2018-00-00T00:00:00Z marks the founding of Pymolsar: A Python-based Toolkit to Predict the Activity and Property of Small Molecules[7].
  • Pymolsar: A Python-based Toolkit to Predict the Activity and Property of Small Molecules's work available at URL is recorded as http://hdl.handle.net/1773/41746[8].
  • Pymolsar: A Python-based Toolkit to Predict the Activity and Property of Small Molecules's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q1069725', 'amount': '+27'}[9].
  • Pymolsar: A Python-based Toolkit to Predict the Activity and Property of Small Molecules's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q56761382', 'amount': '+2'}[10].
  • Pymolsar: A Python-based Toolkit to Predict the Activity and Property of Small Molecules's Handle ID is recorded as 1773/41746[11].
  • Pymolsar: A Python-based Toolkit to Predict the Activity and Property of Small Molecules's title is recorded as Pymolsar[12].
  • Pymolsar: A Python-based Toolkit to Predict the Activity and Property of Small Molecules's subtitle is recorded as A Python-based Toolkit to Predict the Activity and Property of Small Molecules[13].
  • Pymolsar: A Python-based Toolkit to Predict the Activity and Property of Small Molecules's thesis submitted to is recorded as A Python-based Toolkit to Predict the Activity and Property of Small Molecules — thesis submitted to (P4101): University of Washington[14].
  • Pymolsar: A Python-based Toolkit to Predict the Activity and Property of Small Molecules's on focus list of Wikimedia project is recorded as A Python-based Toolkit to Predict the Activity and Property of Small Molecules — on focus list of Wikimedia project (P5008): WikiProject PCC Wikidata Pilot/University of Washington[15].
  • Pymolsar: A Python-based Toolkit to Predict the Activity and Property of Small Molecules's thesis committee member is recorded as A Python-based Toolkit to Predict the Activity and Property of Small Molecules — thesis committee member (P9161): David Andrew Crawford Beck[16].

Body

Designation and Status

Recorded instance of include A Python-based Toolkit to Predict the Activity and Property of Small Molecules — instance of (P31): master's thesis[3] and A Python-based Toolkit to Predict the Activity and Property of Small Molecules — instance of (P31): written work[4].

History and Context

+2018-00-00T00:00:00Z marks the founding of Pymolsar: A Python-based Toolkit to Predict the Activity and Property of Small Molecules[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] ↑ . WorldCat. wikidata.org.
  13. [14] ↑ . WorldCat. wikidata.org.
  14. [15] ↑ . wikidata.org.
  15. [16] ↑ . WorldCat. wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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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). Pymolsar: A Python-based Toolkit to Predict the Activity and Property of Small Molecules. Retrieved May 3, 2026, from https://4ort.xyz/entity/pymolsar-a-python-based-toolkit-to-predict-the-activity-and-property-of-small-molecules
MLA “Pymolsar: A Python-based Toolkit to Predict the Activity and Property of Small Molecules.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/pymolsar-a-python-based-toolkit-to-predict-the-activity-and-property-of-small-molecules.
BibTeX @misc{4ortxyz_pymolsar-a-python-based-toolkit-to-predict-the-activity-and-property-of-small-molecules_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Pymolsar: A Python-based Toolkit to Predict the Activity and Property of Small Molecules}}, year = {2026}, url = {https://4ort.xyz/entity/pymolsar-a-python-based-toolkit-to-predict-the-activity-and-property-of-small-molecules}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Pymolsar: A Python-based Toolkit to Predict the Activity and Property of Small Molecules — https://4ort.xyz/entity/pymolsar-a-python-based-toolkit-to-predict-the-activity-and-property-of-small-molecules (retrieved 2026-05-03)

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