npj Systems Biology and Applications

Papers
(The median citation count of npj Systems Biology and Applications is 2. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Gene co-expression in the interactome: moving from correlation toward causation via an integrated approach to disease module discovery69
Metabolic modelling reveals broad changes in gut microbial metabolism in inflammatory bowel disease patients with dysbiosis53
Nobel Turing Challenge: creating the engine for scientific discovery47
Comparative transcriptome analysis reveals key epigenetic targets in SARS-CoV-2 infection34
Sparsely-connected autoencoder (SCA) for single cell RNAseq data mining33
Crosstalk between Plk1, p53, cell cycle, and G2/M DNA damage checkpoint regulation in cancer: computational modeling and analysis31
Adaptive coding for DNA storage with high storage density and low coverage31
High-throughput toxicogenomic screening of chemicals in the environment using metabolically competent hepatic cell cultures30
Cell morphology-based machine learning models for human cell state classification29
Computational systems biology in disease modeling and control, review and perspectives25
The in vitro micronucleus assay using imaging flow cytometry and deep learning24
Integrative computational approach identifies drug targets in CD4+ T-cell-mediated immune disorders23
An expanded whole-cell model of E. coli links cellular physiology with mechanisms of growth rate control21
Application of physiologically based pharmacokinetic modeling for sertraline dosing recommendations in pregnancy19
Systems modeling predicts that mitochondria ER contact sites regulate the postsynaptic energy landscape19
Predicted ‘wiring landscape’ of Ras-effector interactions in 29 human tissues19
Metabolomics and transcriptomics based multi-omics integration reveals radiation-induced altered pathway networking and underlying mechanism18
Constructing gene regulatory networks using epigenetic data18
Metabolic modeling of host–microbe interactions for therapeutics in colorectal cancer18
Optimal proteome allocation and the temperature dependence of microbial growth laws18
Extending the landscape of omics technologies by pathomics17
Identifying the essential nutritional requirements of the probiotic bacteria Bifidobacterium animalis and Bifidobacterium longum through genome-scale modeling16
Comprehensive network medicine-based drug repositioning via integration of therapeutic efficacy and side effects15
Mapping drug-target interactions and synergy in multi-molecular therapeutics for pressure-overload cardiac hypertrophy15
Leveraging network structure in nonlinear control15
An updated genome-scale metabolic network reconstruction of Pseudomonas aeruginosa PA14 to characterize mucin-driven shifts in bacterial metabolism15
Metabolic modelling of the human gut microbiome in type 2 diabetes patients in response to metformin treatment15
The nonlinearity of regulation in biological networks14
Prediction of hemophilia A severity using a small-input machine-learning framework14
Uncovering cancer gene regulation by accurate regulatory network inference from uninformative data13
Gene regulatory network reconstruction: harnessing the power of single-cell multi-omic data13
MethylSPWNet and MethylCapsNet: Biologically Motivated Organization of DNAm Neural Networks, Inspired by Capsule Networks13
GLUT1 production in cancer cells: a tragedy of the commons12
Nanoscale programming of cellular and physiological phenotypes: inorganic meets organic programming12
Curating and comparing 114 strain-specific genome-scale metabolic models of Staphylococcus aureus12
Quantifying the optimal strategy of population control of quorum sensing network in Escherichia coli12
A dynamic multi-tissue model to study human metabolism12
Assessment of skin barrier function using skin images with topological data analysis12
Deep neural network prediction of genome-wide transcriptome signatures – beyond the Black-box12
sciCAN: single-cell chromatin accessibility and gene expression data integration via cycle-consistent adversarial network11
Prediction of degradation pathways of phenolic compounds in the human gut microbiota through enzyme promiscuity methods11
Personalized modulation of coagulation factors using a thrombin dynamics model to treat trauma-induced coagulopathy10
Network- and enrichment-based inference of phenotypes and targets from large-scale disease maps10
Automating parameter selection to avoid implausible biological pathway models9
Computational analysis of fused co-expression networks for the identification of candidate cancer gene biomarkers9
Employing active learning in the optimization of culture medium for mammalian cells9
Genome-scale metabolic modeling reveals increased reliance on valine catabolism in clinical isolates of Klebsiella pneumoniae9
Model-informed experimental design recommendations for distinguishing intrinsic and acquired targeted therapeutic resistance in head and neck cancer9
LimeMap: a comprehensive map of lipid mediator metabolic pathways9
Unraveling the effect of intra- and intercellular processes on acetaminophen-induced liver injury9
NETISCE: a network-based tool for cell fate reprogramming9
Integrated genetic and metabolic landscapes predict vulnerabilities of temozolomide resistant glioblastoma cells8
A systems biology model of junctional localization and downstream signaling of the Ang–Tie signaling pathway8
High-throughput platform for yeast morphological profiling predicts the targets of bioactive compounds8
Mapping the dynamics of insulin-responsive pathways in the blood–brain barrier endothelium using time-series transcriptomics data8
Inference of phenotype-relevant transcriptional regulatory networks elucidates cancer type-specific regulatory mechanisms in a pan-cancer study8
ADAS-viewer: web-based application for integrative analysis of multi-omics data in Alzheimer’s disease8
Learning to encode cellular responses to systematic perturbations with deep generative models8
PhysiBoSS 2.0: a sustainable integration of stochastic Boolean and agent-based modelling frameworks8
Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits8
A robust method for designing multistable systems by embedding bistable subsystems7
Computational modeling of AMPK and mTOR crosstalk in glutamatergic synapse calcium signaling7
Network inference from perturbation time course data7
Cell polarisation in a bulk-surface model can be driven by both classic and non-classic Turing instability7
IκBα is required for full transcriptional induction of some NFκB-regulated genes in response to TNF in MCF-7 cells7
Optimal energy and redox metabolism in the cyanobacterium Synechocystis sp. PCC 68037
Topological data analysis of spatial patterning in heterogeneous cell populations: clustering and sorting with varying cell-cell adhesion7
Predicting stress response and improved protein overproduction in Bacillus subtilis7
Characteristics of mathematical modeling languages that facilitate model reuse in systems biology: a software engineering perspective6
Using predictive machine learning models for drug response simulation by calibrating patient-specific pathway signatures6
NERO: a biomedical named-entity (recognition) ontology with a large, annotated corpus reveals meaningful associations through text embedding6
Mitochondria interaction networks show altered topological patterns in Parkinson’s disease6
Four features of temporal patterns characterize similarity among individuals and molecules by glucose ingestion in humans6
An integrated study to decipher immunosuppressive cellular communication in the PDAC environment6
Regulome-based characterization of drug activity across the human diseasome6
SANA: cross-species prediction of Gene Ontology GO annotations via topological network alignment6
Tissue-wide cell-specific proteogenomic modeling reveals novel candidate risk genes in autism spectrum disorders6
Integration of graph neural networks and genome-scale metabolic models for predicting gene essentiality5
Understanding repertoire sequencing data through a multiscale computational model of the germinal center5
A large-scale Boolean model of the rheumatoid arthritis fibroblast-like synoviocytes predicts drug synergies in the arthritic joint5
Restoring circadian gene profiles in clock networks using synthetic feedback control5
Quantitative model of eukaryotic Cdk control through the Forkhead CONTROLLER5
Olfactory receptors contribute to progression of kidney fibrosis5
MorphoSim: an efficient and scalable phase-field framework for accurately simulating multicellular morphologies5
An integrated network representation of multiple cancer-specific data for graph-based machine learning5
Efficient, cell-based simulations of cardiac electrophysiology; The Kirchhoff Network Model (KNM)5
The small world coefficient 4.8 ± 1 optimizes information processing in 2D neuronal networks5
An integrative mathematical model for timing treatment toxicity and Zeitgeber impact in colorectal cancer cells5
Explainable deep learning for tumor dynamic modeling and overall survival prediction using Neural-ODE5
Transcriptome analysis of clock disrupted cancer cells reveals differential alternative splicing of cancer hallmarks genes5
Mesenchymal ovarian cancer cells promote CD8+ T cell exhaustion through the LGALS3-LAG3 axis5
Reliable interpretability of biology-inspired deep neural networks5
Synthetic lethality in large-scale integrated metabolic and regulatory network models of human cells5
Position-dependent effects of RNA-binding proteins in the context of co-transcriptional splicing5
High-throughput metabolomics for the design and validation of a diauxic shift model5
Knowledge-based mechanistic modeling accurately predicts disease progression with gefitinib in EGFR-mutant lung adenocarcinoma5
CTCFL regulates the PI3K-Akt pathway and it is a target for personalized ovarian cancer therapy5
Computational modeling of complex bioenergetic mechanisms that modulate CD4+ T cell effector and regulatory functions5
Diversity and molecular network patterns of symptom phenotypes4
Quantitative prediction of conditional vulnerabilities in regulatory and metabolic networks using PRIME4
Understanding and leveraging phenotypic plasticity during metastasis formation4
Functional stratification of cancer drugs through integrated network similarity4
The economy of chromosomal distances in bacterial gene regulation4
A quantitative systems pharmacology model of the pathophysiology and treatment of COVID-19 predicts optimal timing of pharmacological interventions4
iUMRG: multi-layered network-guided propagation modeling for the inference of susceptibility genes and potential drugs against uveal melanoma4
Executable models of immune signaling pathways in HIV-associated atherosclerosis4
gDesigner: computational design of synthetic gRNAs for Cas12a-based transcriptional repression in mammalian cells4
Growth exponents reflect evolutionary processes and treatment response in brain metastases4
Cyclin/Forkhead-mediated coordination of cyclin waves: an autonomous oscillator rationalizing the quantitative model of Cdk control for budding yeast4
Peripheral gene interactions define interpretable clusters of core ASD genes in a network-based investigation of the omnigenic theory4
Protein painting reveals pervasive remodeling of conserved proteostasis machinery in response to pharmacological stimuli4
A deep learning approach for morphological feature extraction based on variational auto-encoder: an application to mandible shape3
Harnessing synthetic biology for advancing RNA therapeutics and vaccine design3
A data-driven Boolean model explains memory subsets and evolution in CD8+ T cell exhaustion3
Reverse engineering morphogenesis through Bayesian optimization of physics-based models3
Effective dose window for containing tumor burden under tolerable level3
Identification of Probucol as a candidate for combination therapy with Metformin for Type 2 diabetes3
Multi-omic regulatory networks capture downstream effects of kinase inhibition in Mycobacterium tuberculosis3
Mapping the epithelial–immune cell interactome upon infection in the gut and the upper airways3
Design principles of improving the dose-response alignment in coupled GTPase switches3
Computational modeling of DLBCL predicts response to BH3-mimetics3
Assessing biological network dynamics: comparing numerical simulations with analytical decomposition of parameter space3
Old drugs, new tricks: leveraging known compounds to disrupt coronavirus-induced cytokine storm3
A robust ultrasensitive transcriptional switch in noisy cellular environments3
Argininosuccinate lyase is a metabolic vulnerability in breast development and cancer3
DeepARV: ensemble deep learning to predict drug-drug interaction of clinical relevance with antiretroviral therapy3
Large-scale computational modelling of the M1 and M2 synovial macrophages in rheumatoid arthritis3
Data-driven structural analysis of small cell lung cancer transcription factor network suggests potential subtype regulators and transition pathways2
Single-cell characterization of step-wise acquisition of carboplatin resistance in ovarian cancer2
The Sherpa hypothesis: Phenotype-Preserving Disordered Proteins stabilize the phenotypes of neurons and oligodendrocytes2
A systems biology approach to define mechanisms, phenotypes, and drivers in PanNETs with a personalized perspective2
Few-shot prediction of amyloid β accumulation from mainly unpaired data on biomarker candidates2
Frequency-preference response in covalent modification cycles under substrate sequestration conditions2
Systematic analysis of negative and positive feedback loops for robustness and temperature compensation in circadian rhythms2
Author Correction: IκBα is required for full transcriptional induction of some NFκB-regulated genes in response to TNF in MCF-7 cells2
Severe testing with high-dimensional omics data for enhancing biomedical scientific discovery2
Proteotyping of knockout mouse strains reveals sex- and strain-specific signatures in blood plasma2
A multiscale chemical-mechanical model predicts impact of morphogen spreading on tissue growth2
PEACOCK: a machine learning approach to assess the validity of cell type-specific enhancer-gene regulatory relationships2
Making drugs from T cells: The quantitative pharmacology of engineered T cell therapeutics2
Globally invariant behavior of oncogenes and random genes at population but not at single cell level2
EMBED: Essential MicroBiomE Dynamics, a dimensionality reduction approach for longitudinal microbiome studies2
Alzheimer’s disease rewires gene coexpression networks coupling different brain regions2
Metabolic function-based normalization improves transcriptome data-driven reduction of genome-scale metabolic models2
Optimization of nutrient utilization efficiency and productivity for algal cultures under light and dark cycles using genome-scale model process control2
Evaluation of single-sample network inference methods for precision oncology2
Mechanisms of cell size regulation in slow-growing Escherichia coli cells: discriminating models beyond the adder2
Exploring chronic and transient tumor hypoxia for predicting the efficacy of hypoxia-activated pro-drugs2
‘Social’ versus ‘asocial’ cells—dynamic competition flux balance analysis2
Quantitative systems-based prediction of antimicrobial resistance evolution2
Computational analysis of arrhythmogenesis in KCNH2 T618I mutation-associated short QT syndrome and the pharmacological effects of quinidine and sotalol2
Machine learning approach for discrimination of genotypes based on bright-field cellular images2
An automated workflow for multi-omics screening of microbial model organisms2
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