Graph neural networks for molecules
Graph neural networks (GNNs), which are capable of learning representations from
graphical data, are naturally suitable for modeling molecular systems. This review …
graphical data, are naturally suitable for modeling molecular systems. This review …
Neural message passing for joint paratope-epitope prediction
Antibodies are proteins in the immune system which bind to antigens to detect and
neutralise them. The binding sites in an antibody-antigen interaction are known as the …
neutralise them. The binding sites in an antibody-antigen interaction are known as the …
Protein function prediction with gene ontology: from traditional to deep learning models
TTD Vu, J Jung - PeerJ, 2021 - peerj.com
Protein function prediction is a crucial part of genome annotation. Prediction methods have
recently witnessed rapid development, owing to the emergence of high-throughput …
recently witnessed rapid development, owing to the emergence of high-throughput …
Deep learning for protein–protein interaction site prediction
Protein–protein interactions (PPIs) are central to cellular functions. Experimental methods for
predicting PPIs are well developed but are time and resource expensive and suffer from …
predicting PPIs are well developed but are time and resource expensive and suffer from …
An effective GCN-based hierarchical multi-label classification for protein function prediction
K Choi, Y Lee, C Kim, M Yoon - arXiv preprint arXiv:2112.02810, 2021 - arxiv.org
We propose an effective method to improve Protein Function Prediction (PFP) utilizing
hierarchical features of Gene Ontology (GO) terms. Our method consists of a language …
hierarchical features of Gene Ontology (GO) terms. Our method consists of a language …
Предсказание функций белков при помощи базы данных «Gene Ontology» и моделей машинного обучения
А Исмаилова, А Жумаханова - Известия НАН РК …, 2022 - journals.nauka-nanrk.kz
Аннотация Прогнозирование функций белков является важной частью аннотации
генома. В последнее время методы прогнозирования быстро развиваются благодаря …
генома. В последнее время методы прогнозирования быстро развиваются благодаря …