Dec 23, 2021 · Few work directly with the sequence itself. In this paper, we explore the utility of sequence embeddings for predicting protein-protein ...
In this paper, we explore the utility of sequence embeddings for predicting protein-protein interactions.
Dec 31, 2019 · In this paper, we propose to use sequence embeddings learned through RepL methods to represent a protein pair for making PPI predictions.
In this paper, we explore the utility of sequence embeddings for predicting protein-protein interactions. We construct a protein pair feature vector by ...
Protein-Protein Interactions (PPIs) are a crucial mechanism underpinning the function of the cell. Predicting the likely relationship between a pair of proteins ...
Aug 4, 2024 · Protein-Protein Interactions (PPIs) are a crucial mechanism underpinning the function of the cell. Predicting the likely relationship ...
In this paper, we explore the utility of sequence embeddings for predicting protein-protein interactions. We construct a protein pair feature vector by ...
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This paper obtains sequence encodings for the PPI task which achieve similar levels of performance to existing methods without reliance on complex ...
Conclusions: Naive low dimensional sequence embeddings provide better results on protein-protein interaction prediction task than most of the alternative ...
Dec 24, 2022 · In this brief review, we introduce currently available PPI databases and recent sequence-based methods for predicting PPIs.
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