Graph-BERT and language model-based framework for protein–protein interaction identification

K Jha, S Karmakar, S Saha - Scientific Reports, 2023 - nature.com
Identification of protein–protein interactions (PPI) is among the critical problems in the
domain of bioinformatics. Previous studies have utilized different AI-based models for PPI …

Growing ecosystem of deep learning methods for modeling protein–protein interactions

JR Rogers, G Nikolényi… - … Engineering, Design and …, 2023 - academic.oup.com
Numerous cellular functions rely on protein–protein interactions. Efforts to comprehensively
characterize them remain challenged however by the diversity of molecular recognition …

Protein–Protein Interaction Prediction Model Based on ProtBert-BiGRU-Attention

Q Gao, C Zhang, M Li, T Yu - Journal of Computational Biology, 2024 - liebertpub.com
The physiological activities within cells are mainly regulated through protein–protein
interactions (PPI). Therefore, studying protein interactions has become an essential part of …

Prediction of Protein-Protein Interactions Using Vision Transformer and Language Model

K Jha, S Saha, S Karmakar - IEEE/ACM Transactions on …, 2023 - ieeexplore.ieee.org
The knowledge of protein-protein interaction (PPI) helps us to understand proteins'
functions, the causes and growth of several diseases, and can aid in designing new drugs …

Cross-Modality Image Transformation Using Generative Adversarial Network

H Liu, S Yu, Q Hou, S Chen, K Guo, X Wang… - … Conference on Man …, 2024 - Springer
A cross-modality image transformation method using the Generative Adversarial Network
(GAN) is proposed in this paper. First, the preprocessing methods are performed to the …

Cross-Modality Image Transformation Using

H Liu, S Yu, Q Hou¹, S Chen, K Guo… - … : Proceedings of the 24th …, 2024 - books.google.com
A cross-modality image transformation method using the Generative Adversarial Network
(GAN) is proposed in this paper. First, the preprocessing methods are performed to the …