May 26, 2021 · Here, we introduce DeepFRI, a Graph Convolutional Network for predicting protein functions by leveraging sequence features extracted from a protein language model and protein structures. It...

I-TASSER (Iterative Threading ASSEmbly Refinement) is a hierarchical approach to protein structure prediction and structure-based function annotation. It first identifies structural templates from the PDB by multiple threading approach LOMETS, with full-length atomic models constructed by iterative template-based fragment assembly simulations.

This unit describes how to use the I-TASSER protocol to generate structure and function prediction and how to interpret the prediction results, as well as alternative approaches for further improving the I-TASSER modeling quality for distant-homologous and …

Jan 2, 2025 · DPFunc can detect significant regions in protein structures and accurately predict corresponding functions under the guidance of domain information. It outperforms current state-of-the-art...

service for protein structure prediction, protein sequence analysis, protein function prediction, protein sequence alignments, bioinformatics

Oct 17, 2023 · To address this, this article proposes the Struct2GO model, which combines protein structure and sequence data to enhance the precision of protein function prediction and the generality of the model.

Function prediction from structure can be achieved by global comparison of protein structures to detect homology or through the use of structural templates derived from the active sites of...

According to recent studies [24,25,26,27], the approaches that predict protein function from structure include structure alignment, molecular docking, and AI-aided prediction. Researchers use Gene Ontology (GO) to detail the functions of a protein.

In this review, we present a survey of the efforts for protein structure prediction. We compare the research paradigms adopted by researchers from different fields, with an emphasis on the shift of research paradigms in the era of deep learning.

Jul 12, 2024 · Here, we provide an in-depth review of the recent developments of deep learning methods for protein function prediction. We summarize the significant advances in the field, identify several remaining major challenges to be tackled, and suggest some potential directions to …