Parameterizing elastic network models to capture the dynamics of proteins
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Computational Chemistry"
DOI: 10.1002/jcc.26701
Abstract: Coarse‐grained normal mode analyses of protein dynamics rely on the idea that the geometry of a protein structure contains enough information for computing its fluctuations around its equilibrium conformation. This geometry is captured in the… read more here.
Keywords: network; network models; geometry; parameterizing elastic ... See more keywords
Identification of Allosteric Effects in Proteins by Elastic Network Models.
Sign Up to like & getrecommendations! Published in 2021 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-1154-8_3
Abstract: Allostery is a fundamental regulatory mechanism in the majority of biological processes of molecular machines. Allostery is well-known as a dynamic-driven process, and thus, the molecular mechanism of allosteric signal transmission needs to be established.… read more here.
Keywords: allosteric effects; network; network models; model ... See more keywords
A Protocol for the Construction and Curation of Genome-Scale Integrated Metabolic and Regulatory Network Models.
Sign Up to like & getrecommendations! Published in 2019 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-9142-6_14
Abstract: Genome-scale metabolic network models have been widely used over the last decade and have been shown to successfully predict the metabolic behavior of many organisms. Yet the complexity of metabolic regulation often limits the accuracy… read more here.
Keywords: metabolic regulatory; genome scale; network; network models ... See more keywords
Boolean network modeling in systems pharmacology
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Pharmacokinetics and Pharmacodynamics"
DOI: 10.1007/s10928-017-9567-4
Abstract: Quantitative systems pharmacology (QSP) is an emerging discipline that aims to discover how drugs modulate the dynamics of biological components in molecular and cellular networks and the impact of those perturbations on human pathophysiology. The… read more here.
Keywords: network modeling; network; network models; boolean network ... See more keywords
Application of Neural Network Models for Mathematical Programming Problems: A State of Art Review
Sign Up to like & getrecommendations! Published in 2020 at "Archives of Computational Methods in Engineering"
DOI: 10.1007/s11831-018-09309-5
Abstract: Artificial neural networks or neural networks (NN) are new computational models based on the working of biological neurons of human body. A NN model consists of an interactive system through which external or internal information… read more here.
Keywords: neural network; review; network models; programming problems ... See more keywords
Forecasting Daily Streamflow Discharges Using Various Neural Network Models and Training Algorithms
Sign Up to like & getrecommendations! Published in 2018 at "KSCE Journal of Civil Engineering"
DOI: 10.1007/s12205-017-1933-7
Abstract: Streamflow forecasting based on past records is an important issue in both hydrologic engineering and hydropower reservoir management. In the study, three artificial Neural Network (NN) models, namely NN with well-known multi-layer perceptron (MLPNN), NN… read more here.
Keywords: models training; network models; time; daily streamflow ... See more keywords
Neural network models and deep learning
Sign Up to like & getrecommendations! Published in 2019 at "Current Biology"
DOI: 10.1016/j.cub.2019.02.034
Abstract: Originally inspired by neurobiology, deep neural network models have become a powerful tool of machine learning and artificial intelligence. They can approximate functions and dynamics by learning from examples. Here we give a brief introduction… read more here.
Keywords: network models; deep learning; models deep; neural network ... See more keywords
Network models to evaluate vaccine strategies towards herd immunity in COVID-19
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Theoretical Biology"
DOI: 10.1016/j.jtbi.2021.110894
Abstract: Vaccination remains a critical element in the eventual solution to COVID-19 public health crisis. Many vaccines are already being mass produced and supplied to the population. However, the COVID-19 vaccination programme will be the biggest… read more here.
Keywords: immunity; herd immunity; network models; vaccine ... See more keywords
Empirically constrained network models for contrast-dependent modulation of gamma rhythm in V1
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DOI: 10.1016/j.neuroimage.2021.117748
Abstract: Gamma oscillations are thought to play a key role in neuronal network function and neuronal communication, yet the underlying generating mechanisms have not been fully elucidated to date. At least partly, this may be due… read more here.
Keywords: constrained network; models contrast; network; empirically constrained ... See more keywords
Network Models of DSM–5 Posttraumatic Stress Disorder: Implications for ICD–11
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Abnormal Psychology"
DOI: 10.1037/abn0000252
Abstract: Recent proposals for revisions to the 11th edition of the International Classification of Diseases (ICD–11) posttraumatic stress disorder (PTSD) diagnostic criteria have argued that the current symptom constellation under the Diagnostic and Statistical Manual of… read more here.
Keywords: network models; posttraumatic stress; network; stress disorder ... See more keywords
The sum of all fears: Comparing networks based on symptom sum-scores.
Sign Up to like & getrecommendations! Published in 2021 at "Psychological methods"
DOI: 10.1037/met0000418
Abstract: Researchers are often interested in comparing statistical network models estimated from groups that are defined by the sum-score of the modeled variables. A prominent example is an analysis that compares networks of individuals with and… read more here.
Keywords: bias; network models; sum scores; network ... See more keywords