概览介绍
Generative modeling for programmable protein design. Review weight-access conditions separately from code; generated proteins require experimental validation.
信息已比对权威文献或官方白皮书;非实验性跑分。 权威出处 · 最后核对: 16/09/2026, 17:33:40 UTC
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Generative modeling for programmable protein design. Review weight-access conditions separately from code; generated proteins require experimental validation.
Generative modeling for programmable protein design. Review weight-access conditions separately from code; generated proteins require experimental validation.
信息已比对权威文献或官方白皮书;非实验性跑分。 权威出处 · 最后核对: 16/09/2026, 17:33:40 UTC
Use this citation format when referencing Chroma in scientific publications and benchmark papers.
@software{chroma_2026,
title = {{Chroma}},
author = {{Generate Biomedicines}},
year = {2026},
url = {https://github.com/generatebio/chroma},
note = {Indexed on aibioatlas - AI for Biology and Drug Discovery}
}Live scientific citations queried from Europe PMC and PubMed for Chroma.
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No software–hardware integration has been verified for this entry yet. Explore documented research workflows.

Chroma Scientific Architecture · Credit: Generate Biomedicines · Open original ↗
Research and editorial use Source & attribution ↗ License ↗
同一科学领域的同类算法与工具。
Research AI model / method · Research code or publication
All-atom protein structure diffusion conditioned on specific ligand or nucleic acid atomic context.
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Generate:Biomedicines Reports Positive Clinical Trial Results for AI-Designed Antibody GB-0669
26 Jun 2026
See project access and maintenance status
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