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HelixGAN a deep-learning methodology for conditional <i>de novo</i> design of α-helix structures

Research article (Bioinformatics, 2023) · cited 22× · AI/ML
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HelixGAN a deep-learning methodology for conditional de novo design of α-helix structures

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HelixGAN a deep-learning methodology for conditional de novo design of α-helix structures is a scholarly article[1].

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  • HelixGAN a deep-learning methodology for conditional de novo design of α-helix structures's instance of is recorded as scholarly article[2].

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). HelixGAN a deep-learning methodology for conditional <i>de novo</i> design of α-helix structures. Retrieved May 24, 2026, from https://4ort.xyz/entity/helixgan-a-deep-learning-methodology-for-conditional-i-de-novo-i-design-of-helix-structures
MLA “HelixGAN a deep-learning methodology for conditional <i>de novo</i> design of α-helix structures.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/helixgan-a-deep-learning-methodology-for-conditional-i-de-novo-i-design-of-helix-structures.
BibTeX @misc{4ortxyz_helixgan-a-deep-learning-methodology-for-conditional-i-de-novo-i-design-of-helix-structures_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{HelixGAN a deep-learning methodology for conditional <i>de novo</i> design of α-helix structures}}, year = {2026}, url = {https://4ort.xyz/entity/helixgan-a-deep-learning-methodology-for-conditional-i-de-novo-i-design-of-helix-structures}, note = {Accessed: 2026-05-24}}
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