aceGenolator enables protein function interpretation using a multimodal large language model fusing genomic and structural interpretation with natural language interaction
Background Decoding the genetic code to unveil its genome functionality is a monumental task which would greatly advance the understanding of disease mechanisms and development of targeted treatments. Although large language models (LLMs) have transformed natural language processing across diverse domains, translating the complex language of DNA into human-readable form remains challenging due to genomic data complexity and unexplored regions of the human genome. Current language models either are capable of pro…
Genolator integrates DNA, amino acid and protein structure embeddings with natural language queries and answers questions about protein localization and function with high accuracy, outperforming general LLMs.
Evidence
- Peer-reviewedGenome Biology2026-09-16
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Truvace Impact Record TRV-2026-1133, v1: “Genolator enables protein function interpretation using a multimodal large language model fusing genomic and structural interpretation with natural language interaction.” Truvace, 2026-09-18. /record/TRV-2026-1133 (accessed at citation time). sha256 b6af1a977d29f4fd…
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