Aug 29, 2018 · This approach reduces the number of false positives and time spent in machine annotation's curation process. The presented semantic data model ...

Feb 14, 2024 · DeepGO-SE generates multiple approximate models of GO, and a neural network predicts the truth values of statements about protein functions in ...

This approach reduces the number of false positives and time spent in machine annotation's curation process. The presented semantic data model is designed to ...

Oct 19, 2023 · Here, we propose an end-to-end protein function annotation model named HNetGO, which innovatively uses heterogeneous network to integrate ...

Feb 1, 2024 · Herein, an innovative strategy, entitled 'AnnoPRO', for protein function annotation was therefore constructed. First, a sequence-based multi- ...

Sep 28, 2023 · We have developed DeepGO-SE, a novel method which predicts GO functions from pro- tein sequences using a pretrained large language model ...

May 16, 2024 · Here, we used the protein‐centric evaluation mode, which measures the accuracy of assigning GO terms to a protein by calculating two basic ...

Feb 15, 2024 · In the present study, researchers developed a protein function prediction method, DeepGO-SE, using a large, pre-trained protein language model.

We propose a multi-layer perceptron (MLP) based model which incorporates protein function inter-relationships to find functions performed by protein sequences.

Mar 14, 2024 · TransFew leverages a large pre-trained protein language model (ESM2-t48) to learn function-relevant representations of proteins from raw protein ...