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ForceGen: End-to-end de novo protein generation based on nonlinear mechanical unfolding responses using a language diffusion model
Research article (Science Advances, 2024) · cited 38× · AI/ML
ForceGen: End-to-end de novo protein generation based on nonlinear mechanical unfolding responses using a language diffusion model
Summary
ForceGen: End-to-end de novo protein generation based on nonlinear mechanical unfolding responses using a language diffusion model is a scholarly article[1].
Key Facts
ForceGen: End-to-end de novo protein generation based on nonlinear mechanical unfolding responses using a language diffusion model's instance of is recorded as scholarly article[2].
References
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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.
APA4ort.xyz Knowledge Graph. (2026). ForceGen: End-to-end de novo protein generation based on nonlinear mechanical unfolding responses using a language diffusion model. Retrieved May 24, 2026, from https://4ort.xyz/entity/forcegen-end-to-end-de-novo-protein-generation-based-on-nonlinear-mechanical-unfolding-responses-using-a-language-diffus
MLA“ForceGen: End-to-end de novo protein generation based on nonlinear mechanical unfolding responses using a language diffusion model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/forcegen-end-to-end-de-novo-protein-generation-based-on-nonlinear-mechanical-unfolding-responses-using-a-language-diffus.
BibTeX@misc{4ortxyz_forcegen-end-to-end-de-novo-protein-generation-based-on-nonlinear-mechanical-unfolding-responses-using-a-language-diffus_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ForceGen: End-to-end de novo protein generation based on nonlinear mechanical unfolding responses using a language diffusion model}}, year = {2026}, url = {https://4ort.xyz/entity/forcegen-end-to-end-de-novo-protein-generation-based-on-nonlinear-mechanical-unfolding-responses-using-a-language-diffus}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ForceGen: End-to-end de novo protein generation based on nonlinear mechanical unfolding responses using a language diffusion model — https://4ort.xyz/entity/forcegen-end-to-end-de-novo-protein-generation-based-on-nonlinear-mechanical-unfolding-responses-using-a-language-diffus (retrieved 2026-05-24)
