ProtAlign: Contrastive learning paradigm for Sequence and structure alignment

Protein language models often take into consideration the alignment between a protein sequence and its textual description. However, they do not take structural information into consideration. Traditional methods treat sequence and structure separately, limiting the ability to exploit the alignment between the structure and protein sequence embeddings. In this paper, we introduce a sequence structure contrastive alignment framework, which learns a shared embedding space where proteins are repres

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ethics.ai (6 March 2026), “ProtAlign: Contrastive learning paradigm for Sequence and structure alignment,” evidence record 7628, https://ethics.ai/record/7628 (originally published by arXiv).

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