Structure-based analyses of gut microbiome-related proteins by neural networks and molecular dynamics simulations |
| |
Affiliation: | 1. Center for Advanced Photonics, RIKEN, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan;2. Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, 2-4-7 Aomi, Koto-ku, Tokyo, 135-0064, Japan |
| |
Abstract: | An imbalance in the gut microbiome is linked to immune disorders, such as autoimmune, allergic, and chronic inflammatory disorders. Elucidation of disease mechanisms is a matter of urgency. It requires precise elucidation of the structure-based mechanisms of protein interactions involved in disease onset. In addition, an understanding of the protein dynamics is vital because these fluctuations affect the function and interaction of disease-associated proteins. Experimental evaluation of not only protein interactions, functions, and structures but also the dynamics are time-consuming; therefore, computational predictions are necessary to elucidate disease mechanisms. Here, we introduce recent studies on structure-based analyses of proteins using computational approaches, particularly artificial intelligence (AI) and molecular dynamics (MD) simulations. |
| |
Keywords: | AI" },{" #name" :" keyword" ," $" :{" id" :" kwrd0015" }," $$" :[{" #name" :" text" ," _" :" artificial intelligence AE" },{" #name" :" keyword" ," $" :{" id" :" kwrd0025" }," $$" :[{" #name" :" text" ," _" :" autoencoder MD" },{" #name" :" keyword" ," $" :{" id" :" kwrd0035" }," $$" :[{" #name" :" text" ," _" :" molecular dynamics PDB" },{" #name" :" keyword" ," $" :{" id" :" kwrd0045" }," $$" :[{" #name" :" text" ," _" :" Protein Data Bank NMR" },{" #name" :" keyword" ," $" :{" id" :" kwrd0055" }," $$" :[{" #name" :" text" ," _" :" nuclear magnetic resonance PSM" },{" #name" :" keyword" ," $" :{" id" :" kwrd0065" }," $$" :[{" #name" :" text" ," _" :" peptide-spectrum match CNN" },{" #name" :" keyword" ," $" :{" id" :" kwrd0075" }," $$" :[{" #name" :" text" ," _" :" convolutional neural network MSA" },{" #name" :" keyword" ," $" :{" id" :" kwrd0085" }," $$" :[{" #name" :" text" ," _" :" multiple sequence alignment LSTM" },{" #name" :" keyword" ," $" :{" id" :" kwrd0095" }," $$" :[{" #name" :" text" ," _" :" long short-term memory RNN" },{" #name" :" keyword" ," $" :{" id" :" kwrd0105" }," $$" :[{" #name" :" text" ," _" :" recurrent neural network NLP" },{" #name" :" keyword" ," $" :{" id" :" kwrd0115" }," $$" :[{" #name" :" text" ," _" :" natural language processing GCN" },{" #name" :" keyword" ," $" :{" id" :" kwrd0125" }," $$" :[{" #name" :" text" ," _" :" graph convolutional network |
本文献已被 ScienceDirect 等数据库收录! |
|