The future of zoonotic risk prediction
In the light of the urgency raised by the COVID-19 pandemic, global investment in wildlife
virology is likely to increase, and new surveillance programmes will identify hundreds of …
virology is likely to increase, and new surveillance programmes will identify hundreds of …
Integrating multi-omics to unravel host-microbiome interactions in inflammatory bowel disease
Y Zhang, JP Thomas, T Korcsmaros, L Gul - Cell Reports Medicine, 2024 - cell.com
The gut microbiome is crucial for nutrient metabolism, immune regulation, and intestinal
homeostasis with changes in its composition linked to complex diseases like inflammatory …
homeostasis with changes in its composition linked to complex diseases like inflammatory …
[HTML][HTML] Deep learning frameworks for protein–protein interaction prediction
X Hu, C Feng, T Ling, M Chen - Computational and structural …, 2022 - Elsevier
Protein-protein interactions (PPIs) play key roles in a broad range of biological processes.
The disorder of PPIs often causes various physical and mental diseases, which makes PPIs …
The disorder of PPIs often causes various physical and mental diseases, which makes PPIs …
Recent advances in deep learning for protein-protein interaction analysis: A comprehensive review
M Lee - Molecules, 2023 - mdpi.com
Deep learning, a potent branch of artificial intelligence, is steadily leaving its transformative
imprint across multiple disciplines. Within computational biology, it is expediting progress in …
imprint across multiple disciplines. Within computational biology, it is expediting progress in …
DeepTrio: a ternary prediction system for protein–protein interaction using mask multiple parallel convolutional neural networks
Motivation Protein–protein interaction (PPI), as a relative property, is determined by two
binding proteins, which brings a great challenge to design an expert model with an …
binding proteins, which brings a great challenge to design an expert model with an …
[HTML][HTML] Unleashing the power of artificial intelligence for diagnosing and treating infectious diseases: A comprehensive review
Infectious diseases present a global challenge, requiring accurate diagnosis, effective
treatments, and preventive measures. Artificial intelligence (AI) has emerged as a promising …
treatments, and preventive measures. Artificial intelligence (AI) has emerged as a promising …
Transfer learning via multi-scale convolutional neural layers for human–virus protein–protein interaction prediction
Motivation To complement experimental efforts, machine learning-based computational
methods are playing an increasingly important role to predict human–virus protein–protein …
methods are playing an increasingly important role to predict human–virus protein–protein …
Bioinformatics approaches for unveiling virus-host interactions
Abstract The coronavirus disease-2019 (COVID-19) pandemic has elucidated major
limitations in the capacity of medical and research institutions to appropriately manage …
limitations in the capacity of medical and research institutions to appropriately manage …
Bibliometric analysis of artificial intelligence for biotechnology and applied microbiology: Exploring research hotspots and frontiers
D Xu, B Liu, J Wang, Z Zhang - Frontiers in bioengineering and …, 2022 - frontiersin.org
Background: In the biotechnology and applied microbiology sectors, artificial intelligence
(AI) has been extensively used in disease diagnostics, drug research and development …
(AI) has been extensively used in disease diagnostics, drug research and development …
[HTML][HTML] Artificial intelligence approaches to human-microbiome protein–protein interactions
Host-microbiome interactions play significant roles in human health and disease. Artificial
intelligence approaches have been developed to better understand and predict the …
intelligence approaches have been developed to better understand and predict the …