Protein Function Prediction
Overview
Affiliations
Protein function is a concept that can have different interpretations in different biological contexts, and the number and diversity of novel proteins identified by large-scale "omics" technologies poses increasingly new challenges. In this review we explore current strategies used to predict protein function focused on high-throughput sequence analysis, as for example, inference based on sequence similarity, sequence composition, structure, and protein-protein interaction. Various prediction strategies are discussed together with illustrative workflows highlighting the use of some benchmark tools and knowledge bases in the field.
Chen J, Wang J, Hu Y, Li X, Qian Y, Song C Front Bioeng Biotechnol. 2025; 13:1506508.
PMID: 39906415 PMC: 11790633. DOI: 10.3389/fbioe.2025.1506508.
GPSFun: geometry-aware protein sequence function predictions with language models.
Yuan Q, Tian C, Song Y, Ou P, Zhu M, Zhao H Nucleic Acids Res. 2024; 52(W1):W248-W255.
PMID: 38738636 PMC: 11223820. DOI: 10.1093/nar/gkae381.
Domain-PFP: Protein Function Prediction Using Function-Aware Domain Embedding Representations.
Ibtehaz N, Kagaya Y, Kihara D bioRxiv. 2023; .
PMID: 37662252 PMC: 10473699. DOI: 10.1101/2023.08.23.554486.
Insights into the Structure and Function of TRIP-1, a Newly Identified Member in Calcified Tissues.
Arivalagan J, Ganapathy A, Kalishwaralal K, Chen Y, George A Biomolecules. 2023; 13(3).
PMID: 36979349 PMC: 10046519. DOI: 10.3390/biom13030412.
Walker K, Shwarts M, Demidikin S, Chakravarty A, Joseph-McCarthy D PLoS One. 2023; 18(3):e0281642.
PMID: 36862685 PMC: 9980812. DOI: 10.1371/journal.pone.0281642.