Home ›
Entities
› academia
› Leveraging computer-aided design and artificial intelligence to develop a next-generation multi-epitope tuberculosis vaccine candidate
Leveraging computer-aided design and artificial intelligence to develop a next-generation multi-epitope tuberculosis vaccine candidate
Research article (Infectious Medicine, 2024) · cited 23× · AI/ML
Leveraging computer-aided design and artificial intelligence to develop a next-generation multi-epitope tuberculosis vaccine candidate
Summary
Leveraging computer-aided design and artificial intelligence to develop a next-generation multi-epitope tuberculosis vaccine candidate is a scholarly article[1].
Key Facts
Leveraging computer-aided design and artificial intelligence to develop a next-generation multi-epitope tuberculosis vaccine candidate's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Leveraging computer-aided design and artificial intelligence to develop a next-generation multi-epitope tuberculosis vaccine candidate. Retrieved May 24, 2026, from https://4ort.xyz/entity/leveraging-computer-aided-design-and-artificial-intelligence-to-develop-a-next-generation-multi-epitope-tuberculosis-vac
MLA“Leveraging computer-aided design and artificial intelligence to develop a next-generation multi-epitope tuberculosis vaccine candidate.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/leveraging-computer-aided-design-and-artificial-intelligence-to-develop-a-next-generation-multi-epitope-tuberculosis-vac.
BibTeX@misc{4ortxyz_leveraging-computer-aided-design-and-artificial-intelligence-to-develop-a-next-generation-multi-epitope-tuberculosis-vac_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Leveraging computer-aided design and artificial intelligence to develop a next-generation multi-epitope tuberculosis vaccine candidate}}, year = {2026}, url = {https://4ort.xyz/entity/leveraging-computer-aided-design-and-artificial-intelligence-to-develop-a-next-generation-multi-epitope-tuberculosis-vac}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Leveraging computer-aided design and artificial intelligence to develop a next-generation multi-epitope tuberculosis vaccine candidate — https://4ort.xyz/entity/leveraging-computer-aided-design-and-artificial-intelligence-to-develop-a-next-generation-multi-epitope-tuberculosis-vac (retrieved 2026-05-24)
