Results 11 to 20 of about 9,277,012 (302)

Prediction of metal ion ligand binding residues by adding disorder value and propensity factors based on deep learning algorithm

Frontiers in Genetics, 2022
Proteins need to interact with different ligands to perform their functions. Among the ligands, the metal ion is a major ligand. At present, the prediction of protein metal ion ligand binding residues is a challenge. In this study, we selected Zn2+, Cu2+,
Sixi Hao, Sixi Hao, Xiuzhen Hu, Xiuzhen Hu, Zhenxing Feng, Zhenxing Feng, Kai Sun, Kai Sun, Xiaoxiao You, Xiaoxiao You, Ziyang Wang, Ziyang Wang, Caiyun Yang, Caiyun Yang   +13 more
doaj   +1 more source

Recognition of Metal Ion Ligand-Binding Residues by Adding Correlation Features and Propensity Factors

Frontiers in Genetics, 2022
The realization of many protein functions is inseparable from the interaction with ligands; in particular, the combination of protein and metal ion ligands performs an important biological function.
Shuang Xu, Shuang Xu, Xiuzhen Hu, Xiuzhen Hu, Zhenxing Feng, Zhenxing Feng, Jing Pang, Jing Pang, Kai Sun, Kai Sun, Xiaoxiao You, Xiaoxiao You, Ziyang Wang, Ziyang Wang   +13 more
doaj   +1 more source

Altered Spinal Homeostasis and Maladaptive Plasticity in GFAP Null Mice Following Peripheral Nerve Injury

Cells, 2022
The maladaptive response of the central nervous system (CNS) following nerve injury is primarily linked to the activation of glial cells (reactive gliosis) that produce an inflammatory reaction and a wide cellular morpho-structural and functional ...
Ciro De Luca, Assunta Virtuoso, Sohaib Ali Korai, Raffaella Cirillo, Francesca Gargano, Michele Papa, Giovanni Cirillo   +6 more
doaj   +1 more source

Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey [PDF]

, 2021
Dynamic networks are used in a wide range of fields, including social network analysis, recommender systems, and epidemiology. Representing complex networks as structures changing over time allow network models to leverage not only structural but also ...
Gabrys, Bogdan, Musial, Katarzyna, Skarding, Joakim   +2 more
core   +2 more sources

Energy-efficient control of pump units based on neural-network parameter observer [PDF]

, 2020
An observer based on an artificial neural network was designed. The observer determines the pumping unit performance depending on the operating point. Determination is based on the measured technological coordinates of the system and the pressure of the ...
Burian, S. O., Kiselychnyk, Oleh, Pushkar, M. V., Reshetnik, V. S., Zemlianukhina, H. Y.   +4 more
core   +1 more source

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction [PDF]

International Joint Conference on Artificial Intelligence, 2017
Learning sophisticated feature interactions behind user behaviors is critical in maximizing CTR for recommender systems. Despite great progress, existing methods seem to have a strong bias towards low- or high-order interactions, or require expertise ...
Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He   +4 more
semanticscholar   +1 more source

Approximate solutions to shallow water wave equations by the homotopy perturbation method coupled with Mohand transform

Frontiers in Physics, 2023
In this paper, the Mohand transform-based homotopy perturbation method is proposed to solve two-dimensional linear and non-linear shallow water wave equations.
Yue Liu, Yue Liu, Yue Liu, Yanni Zhang, Jing Pang, Jing Pang   +5 more
doaj   +1 more source

A Convolutional Neural Network for Modelling Sentences [PDF]

Annual Meeting of the Association for Computational Linguistics, 2014
The ability to accurately represent sentences is central to language understanding. We describe a convolutional architecture dubbed the Dynamic Convolutional Neural Network (DCNN) that we adopt for the semantic modelling of sentences.
Nal Kalchbrenner, Edward Grefenstette, Phil Blunsom   +2 more
semanticscholar   +1 more source

A programmable diffractive deep neural network based on a digital-coding metasurface array

Nature Electronics, 2022
The development of artificial intelligence is typically focused on computer algorithms and integrated circuits. Recently, all-optical diffractive deep neural networks have been created that are based on passive structures and can perform complicated ...
Che Liu, Qian Ma, Z. Luo, Q. Hong, Qiang Xiao, Hao Chi Zhang, Long Miao, W. Yu, Q. Cheng, Lianlin Li, T. Cui   +10 more
semanticscholar   +1 more source

The HSPG Glypican Regulates Experience-Dependent Synaptic and Behavioral Plasticity by Modulating the Non-Canonical BMP Pathway

Cell Reports, 2019
Summary: Under food deprivation conditions, Drosophila larvae exhibit increases in locomotor speed and synaptic bouton numbers at neuromuscular junctions (NMJs).
Keisuke Kamimura, Aiko Odajima, Yuko Ikegawa, Chikako Maru, Nobuaki Maeda   +4 more
doaj   +1 more source