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Bioinformatic identification of novel melanoma drug targets and investigation of potential inhibitors using high throughput screening

2017 doctoral thesis by Alexander Trevarton at University of Auckland
Place doctoral_thesis Q112932876
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Bioinformatic identification of novel melanoma drug targets and investigation of potential inhibitors using high throughput screening

Summary

Bioinformatic identification of novel melanoma drug targets and investigation of potential inhibitors using high throughput screening is a doctoral thesis[1].

Key Facts

  • Bioinformatic identification of novel melanoma drug targets and investigation of potential inhibitors using high throughput screening authored Alexander Trevarton[2].
  • Bioinformatic identification of novel melanoma drug targets and investigation of potential inhibitors using high throughput screening's instance of is recorded as doctoral thesis[3].
  • Bioinformatic identification of novel melanoma drug targets and investigation of potential inhibitors using high throughput screening's publisher is recorded as ResearchSpace@Auckland[4].
  • Bioinformatic identification of novel melanoma drug targets and investigation of potential inhibitors using high throughput screening's copyright license is recorded as Creative Commons Attribution-NonCommercial-ShareAlike 3.0 New Zealand[5].
  • Bioinformatic identification of novel melanoma drug targets and investigation of potential inhibitors using high throughput screening's country of origin is recorded as New Zealand[6].
  • Bioinformatic identification of novel melanoma drug targets and investigation of potential inhibitors using high throughput screening's publication date is recorded as +2017-00-00T00:00:00Z[7].
  • Bioinformatic identification of novel melanoma drug targets and investigation of potential inhibitors using high throughput screening's main subject is recorded as molecular medicine[8].
  • Bioinformatic identification of novel melanoma drug targets and investigation of potential inhibitors using high throughput screening's work available at URL is recorded as https://researchspace.auckland.ac.nz/handle/2292/32339[9].
  • Bioinformatic identification of novel melanoma drug targets and investigation of potential inhibitors using high throughput screening's Handle ID is recorded as 2292/32339[10].
  • Bioinformatic identification of novel melanoma drug targets and investigation of potential inhibitors using high throughput screening's title is recorded as Bioinformatic identification of novel melanoma drug targets and investigation of potential inhibitors using high throughput screening[11].
  • Bioinformatic identification of novel melanoma drug targets and investigation of potential inhibitors using high throughput screening's copyright holder is recorded as Alexander Trevarton[12].
  • Bioinformatic identification of novel melanoma drug targets and investigation of potential inhibitors using high throughput screening's thesis submitted to is recorded as University of Auckland[13].
  • Bioinformatic identification of novel melanoma drug targets and investigation of potential inhibitors using high throughput screening's on focus list of Wikimedia project is recorded as NZThesisProject[14].
  • Bioinformatic identification of novel melanoma drug targets and investigation of potential inhibitors using high throughput screening's copyright status is recorded as copyrighted[15].
  • Bioinformatic identification of novel melanoma drug targets and investigation of potential inhibitors using high throughput screening's online access status is recorded as open access[16].
  • Bioinformatic identification of novel melanoma drug targets and investigation of potential inhibitors using high throughput screening's thesis committee member is recorded as Cristin Print[17].
  • Bioinformatic identification of novel melanoma drug targets and investigation of potential inhibitors using high throughput screening's thesis committee member is recorded as Annette Lasham[18].

Body

Designation and Status

Bioinformatic identification of novel melanoma drug targets and investigation of potential inhibitors using high throughput screening's instance of is recorded as doctoral thesis[3].

References

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

Direct Wikidata claims

  1. [3] ↑ . wikidata.org.
  2. [2] ↑ . hdl.handle.net. hdl.handle.net. Provenance: wikidata.org.
  3. [4] ↑ . wikidata.org.
  4. [5] ↑ . wikidata.org.
  5. [6] ↑ . wikidata.org.
  6. [7] ↑ . wikidata.org.
  7. [8] ↑ . wikidata.org.
  8. [9] ↑ . wikidata.org.
  9. [10] ↑ . wikidata.org.
  10. [11] ↑ . wikidata.org.
  11. [12] ↑ . wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . wikidata.org.
  14. [15] ↑ . wikidata.org.
  15. [16] ↑ . wikidata.org.
  16. [17] ↑ . wikidata.org.
  17. [18] ↑ . 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). Bioinformatic identification of novel melanoma drug targets and investigation of potential inhibitors using high throughput screening. Retrieved May 3, 2026, from https://4ort.xyz/entity/bioinformatic-identification-of-novel-melanoma-drug-targets-and-investigation-of-potential-inhibitors-using-high-throughput-screening
MLA “Bioinformatic identification of novel melanoma drug targets and investigation of potential inhibitors using high throughput screening.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/bioinformatic-identification-of-novel-melanoma-drug-targets-and-investigation-of-potential-inhibitors-using-high-throughput-screening.
BibTeX @misc{4ortxyz_bioinformatic-identification-of-novel-melanoma-drug-targets-and-investigation-of-potential-inhibitors-using-high-throughput-screening_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bioinformatic identification of novel melanoma drug targets and investigation of potential inhibitors using high throughput screening}}, year = {2026}, url = {https://4ort.xyz/entity/bioinformatic-identification-of-novel-melanoma-drug-targets-and-investigation-of-potential-inhibitors-using-high-throughput-screening}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Bioinformatic identification of novel melanoma drug targets and investigation of potential inhibitors using high throughput screening — https://4ort.xyz/entity/bioinformatic-identification-of-novel-melanoma-drug-targets-and-investigation-of-potential-inhibitors-using-high-throughput-screening (retrieved 2026-05-03)

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