Unverified50% confidenceFactExact time
DeepTMHMM takes sequence embeddings generated by a protein language model as input and, combined with a structured output layer based on hidden Markov models, can predict multiple topology elements such as transmembrane helices, transmembrane barrels, and signal peptides.
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50%
Confidence
Long-term
Relevance
9/28/2026
First Seen
Sources
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UnverifiedDeepTMHMM was released in 2022 by a team from the Technical University of Denmark and is a strong baseline model in the field of transmembrane protein topology prediction.74% similarVerifiedDeepMind's AlphaFold3 extends protein structure prediction to DNA, RNA, and small molecule ligands.72% similarUnverifiedDeepSeek同时提供了生成模型和Embedding模型，可用于构建完整RAG管线68% similarUnverifiedIn the DeepSeek model family, deepseek-chat is a non-reasoning model and deepseek-reasoner is a reasoning model with a thinking process.67% similar
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