npj Systems Biology and Applications

Papers
(The TQCC of npj Systems Biology and Applications is 8. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
Identifying inhibitors of epithelial–mesenchymal plasticity using a network topology-based approach68
Gene co-expression in the interactome: moving from correlation toward causation via an integrated approach to disease module discovery64
Mitigating the risk of cytokine release syndrome in a Phase I trial of CD20/CD3 bispecific antibody mosunetuzumab in NHL: impact of translational system modeling61
ROS networks: designs, aging, Parkinson’s disease and precision therapies53
Metabolic modelling reveals broad changes in gut microbial metabolism in inflammatory bowel disease patients with dysbiosis45
Stratification and prediction of drug synergy based on target functional similarity33
Sparsely-connected autoencoder (SCA) for single cell RNAseq data mining32
Nobel Turing Challenge: creating the engine for scientific discovery32
Comparative transcriptome analysis reveals key epigenetic targets in SARS-CoV-2 infection32
Adaptive coding for DNA storage with high storage density and low coverage27
High-throughput toxicogenomic screening of chemicals in the environment using metabolically competent hepatic cell cultures27
3D convolutional neural networks-based segmentation to acquire quantitative criteria of the nucleus during mouse embryogenesis25
Cell morphology-based machine learning models for human cell state classification25
Crosstalk between Plk1, p53, cell cycle, and G2/M DNA damage checkpoint regulation in cancer: computational modeling and analysis23
Supervised learning of gene-regulatory networks based on graph distance profiles of transcriptomics data22
Linking metabolic phenotypes to pathogenic traits among “Candidatus Liberibacter asiaticus” and its hosts19
Signatures of co-deregulated genes and their transcriptional regulators in colorectal cancer19
Integrative computational approach identifies drug targets in CD4+ T-cell-mediated immune disorders18
Dynamic resource allocation drives growth under nitrogen starvation in eukaryotes18
The in vitro micronucleus assay using imaging flow cytometry and deep learning18
A global network for network medicine18
An expanded whole-cell model of E. coli links cellular physiology with mechanisms of growth rate control18
Model-driven design allows growth of Mycoplasma pneumoniae on serum-free media17
Systems modeling predicts that mitochondria ER contact sites regulate the postsynaptic energy landscape17
Predicted ‘wiring landscape’ of Ras-effector interactions in 29 human tissues17
Prostate cancer screening research can benefit from network medicine: an emerging awareness16
Identifying the essential nutritional requirements of the probiotic bacteria Bifidobacterium animalis and Bifidobacterium longum through genome-scale modeling15
Systems biology analysis of the Clostridioides difficile core-genome contextualizes microenvironmental evolutionary pressures leading to genotypic and phenotypic divergence15
Metabolic modeling of host–microbe interactions for therapeutics in colorectal cancer15
Application of physiologically based pharmacokinetic modeling for sertraline dosing recommendations in pregnancy14
Optimal proteome allocation and the temperature dependence of microbial growth laws14
Computational systems biology in disease modeling and control, review and perspectives14
Constructing gene regulatory networks using epigenetic data13
Mapping drug-target interactions and synergy in multi-molecular therapeutics for pressure-overload cardiac hypertrophy13
An updated genome-scale metabolic network reconstruction of Pseudomonas aeruginosa PA14 to characterize mucin-driven shifts in bacterial metabolism12
Uncovering cancer gene regulation by accurate regulatory network inference from uninformative data12
Curating and comparing 114 strain-specific genome-scale metabolic models of Staphylococcus aureus11
Quantifying the optimal strategy of population control of quorum sensing network in Escherichia coli11
Prediction of hemophilia A severity using a small-input machine-learning framework10
MethylSPWNet and MethylCapsNet: Biologically Motivated Organization of DNAm Neural Networks, Inspired by Capsule Networks10
Leveraging network structure in nonlinear control10
A dynamic multi-tissue model to study human metabolism10
GLUT1 production in cancer cells: a tragedy of the commons10
Extending the landscape of omics technologies by pathomics10
CODC: a Copula-based model to identify differential coexpression10
Deep neural network prediction of genome-wide transcriptome signatures – beyond the Black-box9
Nanoscale programming of cellular and physiological phenotypes: inorganic meets organic programming9
Advice from a systems-biology model of the corona epidemics9
The nonlinearity of regulation in biological networks9
Clb3-centered regulations are recurrent across distinct parameter regions in minimal autonomous cell cycle oscillator designs9
Temporal ordering of omics and multiomic events inferred from time-series data9
Comprehensive network medicine-based drug repositioning via integration of therapeutic efficacy and side effects9
sciCAN: single-cell chromatin accessibility and gene expression data integration via cycle-consistent adversarial network9
Assessment of skin barrier function using skin images with topological data analysis9
LimeMap: a comprehensive map of lipid mediator metabolic pathways8
Prediction of degradation pathways of phenolic compounds in the human gut microbiota through enzyme promiscuity methods8
Personalized modulation of coagulation factors using a thrombin dynamics model to treat trauma-induced coagulopathy8
Whole-genome sequencing and gene network modules predict gemcitabine/carboplatin-induced myelosuppression in non-small cell lung cancer patients8
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