Jan 24, 2023 · In this work, we implement an algorithm that predicts that a protein has a label based on the frequency of its presence in the training set.
Jun 8, 2023 · The first one is TEMPROT, a method that uses the amino acid sequence to make GO predictions based on the fine-tuning and extraction of ...
We explored how explainable artificial intelligence (XAI) can help to shed light into the inner workings of neural networks for protein function prediction.
Jan 24, 2023 · In this work, we evaluate the use of Transformer architectures to classify protein molecular functions.
TransFun is a method using a transformer-based protein language model and 3D-equivariant graph neural networks (EGNN) to distill information from both protein ...
Jun 8, 2023 · TEMPROT: protein function annotation using transformers embeddings and homology search.
This paper proposes a method named PA_SPP, based on pre-trained ProtAlbert transformer to predict the profile for a single protein sequence without alignment.
Jun 30, 2023 · TransFun consists of three main stages: (i) extracting a protein graph from a predicted structure (PDB), (ii) generating the embeddings from a ...
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Jan 18, 2023 · We review recent developments and the use of large-scale Transformer models in applications for predicting protein characteristics.
DeepGOZero: improving protein function prediction from sequence and zero-shot learning based on ontology axioms ... Prediction of Protein Molecular Functions ...