npj Systems Biology and Applications

Papers
(The median citation count of npj Systems Biology and Applications is 3. 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
Nobel Turing Challenge: creating the engine for scientific discovery32
Comparative transcriptome analysis reveals key epigenetic targets in SARS-CoV-2 infection32
Sparsely-connected autoencoder (SCA) for single cell RNAseq data mining32
High-throughput toxicogenomic screening of chemicals in the environment using metabolically competent hepatic cell cultures27
Adaptive coding for DNA storage with high storage density and low coverage27
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
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
Identifying the essential nutritional requirements of the probiotic bacteria Bifidobacterium animalis and Bifidobacterium longum through genome-scale modeling15
Optimal proteome allocation and the temperature dependence of microbial growth laws14
Computational systems biology in disease modeling and control, review and perspectives14
Application of physiologically based pharmacokinetic modeling for sertraline dosing recommendations in pregnancy14
Mapping drug-target interactions and synergy in multi-molecular therapeutics for pressure-overload cardiac hypertrophy13
Constructing gene regulatory networks using epigenetic data13
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
Quantifying the optimal strategy of population control of quorum sensing network in Escherichia coli11
Curating and comparing 114 strain-specific genome-scale metabolic models of Staphylococcus aureus11
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
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
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
Automating parameter selection to avoid implausible biological pathway models7
Model-informed experimental design recommendations for distinguishing intrinsic and acquired targeted therapeutic resistance in head and neck cancer7
Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits7
Network- and enrichment-based inference of phenotypes and targets from large-scale disease maps7
A robust method for designing multistable systems by embedding bistable subsystems7
NETISCE: a network-based tool for cell fate reprogramming7
Unraveling the effect of intra- and intercellular processes on acetaminophen-induced liver injury7
A systems biology model of junctional localization and downstream signaling of the Ang–Tie signaling pathway7
Metabolic modelling of the human gut microbiome in type 2 diabetes patients in response to metformin treatment7
Metabolomics and transcriptomics based multi-omics integration reveals radiation-induced altered pathway networking and underlying mechanism6
Genome-scale metabolic modeling reveals increased reliance on valine catabolism in clinical isolates of Klebsiella pneumoniae6
Network inference from perturbation time course data6
Mitochondria interaction networks show altered topological patterns in Parkinson’s disease6
Computational analysis of fused co-expression networks for the identification of candidate cancer gene biomarkers6
Employing active learning in the optimization of culture medium for mammalian cells6
Learning to encode cellular responses to systematic perturbations with deep generative models6
IκBα is required for full transcriptional induction of some NFκB-regulated genes in response to TNF in MCF-7 cells6
Cell polarisation in a bulk-surface model can be driven by both classic and non-classic Turing instability5
Quantitative model of eukaryotic Cdk control through the Forkhead CONTROLLER5
CTCFL regulates the PI3K-Akt pathway and it is a target for personalized ovarian cancer therapy5
Four features of temporal patterns characterize similarity among individuals and molecules by glucose ingestion in humans5
Tissue-wide cell-specific proteogenomic modeling reveals novel candidate risk genes in autism spectrum disorders5
High-throughput platform for yeast morphological profiling predicts the targets of bioactive compounds5
Inference of phenotype-relevant transcriptional regulatory networks elucidates cancer type-specific regulatory mechanisms in a pan-cancer study5
SANA: cross-species prediction of Gene Ontology GO annotations via topological network alignment5
ADAS-viewer: web-based application for integrative analysis of multi-omics data in Alzheimer’s disease5
Olfactory receptors contribute to progression of kidney fibrosis4
Computational modeling of complex bioenergetic mechanisms that modulate CD4+ T cell effector and regulatory functions4
Optimal energy and redox metabolism in the cyanobacterium Synechocystis sp. PCC 68034
Characteristics of mathematical modeling languages that facilitate model reuse in systems biology: a software engineering perspective4
Predicting stress response and improved protein overproduction in Bacillus subtilis4
Genomic competition for noise reduction shaped evolutionary landscape of mir-46734
Transcriptome analysis of clock disrupted cancer cells reveals differential alternative splicing of cancer hallmarks genes4
Regulome-based characterization of drug activity across the human diseasome4
Using predictive machine learning models for drug response simulation by calibrating patient-specific pathway signatures4
Restoring circadian gene profiles in clock networks using synthetic feedback control4
Inferring clonal composition from multiple tumor biopsies4
gDesigner: computational design of synthetic gRNAs for Cas12a-based transcriptional repression in mammalian cells4
An integrated network representation of multiple cancer-specific data for graph-based machine learning4
The small world coefficient 4.8 ± 1 optimizes information processing in 2D neuronal networks4
An integrative mathematical model for timing treatment toxicity and Zeitgeber impact in colorectal cancer cells4
Position-dependent effects of RNA-binding proteins in the context of co-transcriptional splicing3
Knowledge-based mechanistic modeling accurately predicts disease progression with gefitinib in EGFR-mutant lung adenocarcinoma3
A quantitative systems pharmacology model of the pathophysiology and treatment of COVID-19 predicts optimal timing of pharmacological interventions3
Mapping the dynamics of insulin-responsive pathways in the blood–brain barrier endothelium using time-series transcriptomics data3
Mapping the epithelial–immune cell interactome upon infection in the gut and the upper airways3
Understanding repertoire sequencing data through a multiscale computational model of the germinal center3
An integrated study to decipher immunosuppressive cellular communication in the PDAC environment3
Computational modeling of AMPK and mTOR crosstalk in glutamatergic synapse calcium signaling3
Executable models of immune signaling pathways in HIV-associated atherosclerosis3
The economy of chromosomal distances in bacterial gene regulation3
Growth exponents reflect evolutionary processes and treatment response in brain metastases3
Cyclin/Forkhead-mediated coordination of cyclin waves: an autonomous oscillator rationalizing the quantitative model of Cdk control for budding yeast3
Design principles of improving the dose-response alignment in coupled GTPase switches3
Genetic interactions derived from high-throughput phenotyping of 6589 yeast cell cycle mutants3
High-throughput metabolomics for the design and validation of a diauxic shift model3
Functional stratification of cancer drugs through integrated network similarity3
NERO: a biomedical named-entity (recognition) ontology with a large, annotated corpus reveals meaningful associations through text embedding3
Multi-omic regulatory networks capture downstream effects of kinase inhibition in Mycobacterium tuberculosis3
Integrated genetic and metabolic landscapes predict vulnerabilities of temozolomide resistant glioblastoma cells3
PhysiBoSS 2.0: a sustainable integration of stochastic Boolean and agent-based modelling frameworks3
iUMRG: multi-layered network-guided propagation modeling for the inference of susceptibility genes and potential drugs against uveal melanoma3
Multiomics data integration unveils core transcriptional regulatory networks governing cell-type identity3
0.022891998291016