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 2022-08-01 to 2026-08-01.)
ArticleCitations
Measuring criticality in control of complex biological networks105
Knowledge-based mechanistic modeling accurately predicts disease progression with gefitinib in EGFR-mutant lung adenocarcinoma84
Causality-aware graph neural networks for functional stratification and phenotype prediction at scale83
Sunset Yellow protects against oxidative damage and exhibits chemoprevention in chemically induced skin cancer model64
Leveraging public AI tools to explore systems biology resources in mathematical modeling62
Data-driven modeling of core gene regulatory network underlying leukemogenesis in IDH mutant AML56
Optimization of nutrient utilization efficiency and productivity for algal cultures under light and dark cycles using genome-scale model process control54
Patient-specific modeling of G2/M cell cycle dynamics reveals prognostic dynamical regimes driven by copy number alterations49
Calibrating tissue level PDE models of ligand dynamics using single cell and spatial transcriptomics data44
Severe testing with high-dimensional omics data for enhancing biomedical scientific discovery41
Comprehensive molecular interaction map of TGFβ induced epithelial to mesenchymal transition in breast cancer40
Drug-tolerant persisters to TRAIL emerge from a dose-dependent surface in a cell-state continuum of sensitivity39
Spatial computational modelling illuminates the role of the tumour microenvironment for treating glioblastoma with immunotherapies35
Network-based transfer of pan-cancer immunotherapy responses to guide breast cancer prognosis34
Data-driven universal insights into tumorigenesis via hallmark networks34
Extracellular matrix-driven patient stratification and network modeling reveal distinct molecular grades with potential clinical implications33
Author Correction: Systems medicine disease maps: community-driven comprehensive representation of disease mechanisms32
Understanding the role of toggle genes in chronic lymphocytic leukemia proliferation31
Integrative temporal multi-omics reveals uncoupling of transcriptome and proteome during human T cell activation30
Revisiting the evolution of bow-tie architecture in signaling networks30
Modelling HIV-1 control and remission28
Tissue-wide cell-specific proteogenomic modeling reveals novel candidate risk genes in autism spectrum disorders27
sciCAN: single-cell chromatin accessibility and gene expression data integration via cycle-consistent adversarial network27
Quantitative cancer-immunity cycle modeling for predicting disease progression in advanced metastatic colorectal cancer26
Data-driven synthetic microbes for sustainable future25
Classification of NSCLC subtypes using lung microbiome from resected tissue based on machine learning methods25
Leveraging quantitative systems pharmacology modeling for elranatamab regimen optimization in relapsed or refractory multiple myeloma25
Spatiotemporal instability of influenza seasonality during viral co-circulation24
An integrative mathematical model for timing treatment toxicity and Zeitgeber impact in colorectal cancer cells23
Exploring cell-to-cell variability and functional insights through differentially variable gene analysis23
Integrated omics of Saccharomyces cerevisiae CENPK2-1C reveals pleiotropic drug resistance and lipidomic adaptations to cannabidiol23
Hif-1 responsive IFFLs to explain specific transcriptional responses to cycling hypoxia in cancers22
Systematic analysis of negative and positive feedback loops for robustness and temperature compensation in circadian rhythms22
A mechanism for the emergence of low-dimensional structures in brain dynamics22
WEE1 inhibition delays resistance to CDK4/6 inhibitor and antiestrogen treatment in ER+ MCF7 cells21
Personalizing neoadjuvant chemotherapy regimens for triple-negative breast cancer using a biology-based digital twin21
EMBED: Essential MicroBiomE Dynamics, a dimensionality reduction approach for longitudinal microbiome studies21
A single-cell network approach to decode metabolic regulation in gynecologic and breast cancers20
Gene regulatory network transitions reveal the central transcription factors in lung adenocarcinoma progression20
Prediction variability in physiologically based pharmacokinetic modeling of tissue disposition under deep uncertainty20
Matters of life and death in computational cell biology20
Alzheimer’s disease rewires gene coexpression networks coupling different brain regions20
Enhancing yeast cell tracking with a time-symmetric deep learning approach20
YAP/TAZ drives Notch and angiogenesis mechanoregulation in silico19
Region-specific mean field models enhance simulations of local and global brain dynamics19
Merging metabolic modeling and imaging for screening therapeutic targets in colorectal cancer19
General relationship of local topologies, global dynamics, and bifurcation in cellular networks18
Manifold-based learning for high-throughput single-peanut phenotyping18
SIMBA-GNN: mechanistic graph learning for microbiome prediction18
An integrative molecular systems approach unravels mechanisms underlying biphasic nitrate uptake by plant nitrate transporter NRT1.118
Exploring chronic and transient tumor hypoxia for predicting the efficacy of hypoxia-activated pro-drugs17
Few-shot prediction of amyloid β accumulation from mainly unpaired data on biomarker candidates17
A Python toolbox for neural circuit parameter inference17
Unraveling anti-inflammatory metabolic signatures of Glycyrrhiza uralensis and isoliquiritigenin through multiomics17
Endosomal pH is an evolutionarily conserved driver of phenotypic plasticity in colorectal cancer17
LumbriCyc: towards metabolic modelling of earthworms16
Design principles of improving the dose-response alignment in coupled GTPase switches16
Learning patient-specific spatial biomarker dynamics via operator learning for Alzheimer’s disease progression16
Synthetic lethality in large-scale integrated metabolic and regulatory network models of human cells16
Integrating AI, mechanistic modelling and network approaches in systems biology for translational research16
Genetic basis of temporal variation in phenology in a woody perennial plant16
Globally invariant behavior of oncogenes and random genes at population but not at single cell level16
A robust ultrasensitive transcriptional switch in noisy cellular environments16
Geometric representations of brain networks can predict the surgery outcome in temporal lobe epilepsy16
Conditional universal differential equations capture population dynamics and interindividual variation in c-peptide production16
An architecture for collaboration in systems biology at the age of the Metaverse15
Effects of resource packaging on the adaptative and pleiotropic consequences of evolution15
Minimal gene signatures enable high-accuracy prediction of antibiotic resistance in Pseudomonas aeruginosa15
Identification of drug responsive enhancers by predicting chromatin accessibility change from perturbed gene expression profiles15
Spatial cell graph analysis reveals skin tissue organization characteristic for cutaneous T cell lymphoma15
Extending PROXIMAL to predict degradation pathways of phenolic compounds in the human gut microbiota15
A comprehensive mechanistic model of adipocyte signaling with layers of confidence14
Oncostatin M orchestrates collective epithelial migration via HIF1A activation14
Mesenchymal ovarian cancer cells promote CD8+ T cell exhaustion through the LGALS3-LAG3 axis14
PYEAST – A Computational Toolkit for Saccharomyces cerevisiae Genetic Engineering14
Determining parameter impact in systems biology models via sensitivity analysis: a comparative approach14
Harnessing synthetic biology for advancing RNA therapeutics and vaccine design14
Cellular patterns in Arabidopsis root epidermis emerge from gene regulatory network and diffusion dynamical feedback14
Characterizing open-ended evolution through undecidability mechanisms in random Boolean networks14
Development of a severe rat refeeding syndrome model and mathematical modeling of the associated hypophosphatemia14
Cell populations simulated in silico within SimulCell accurately reproduce the behaviour of experimental cell cultures14
Computational gastronomy: capturing culinary creativity by making food computable14
The modular biochemical reaction network structure of cellular translation13
Decoding cellular population dynamics through mechanistic modelling and statistical data analysis13
Expanding the role of metabolism in whole plant models13
Fluxomics reveals cellular and molecular basis of increased renal ammoniagenesis13
QSP modeling of loncastuximab tesirine with T-cell-dependent bispecific antibodies guides dose-regimen strategy13
A double-staining automated flow cytometry method for real-time monitoring of bacteria in continuous bioreactors13
Multi-modal clustering reveals event-free patient subgroup in colorectal cancer survival13
Multistability and predominant hybrid phenotypes in a four node mutually repressive network of Th1/Th2/Th17/Treg differentiation13
Protein painting reveals pervasive remodeling of conserved proteostasis machinery in response to pharmacological stimuli12
Transomics2cytoscape: an automated software for interpretable 2.5-dimensional visualization of trans-omic networks12
Identification of Probucol as a candidate for combination therapy with Metformin for Type 2 diabetes12
Design principles for robust multistability in coupled feedforward-feedback regulatory circuits12
Assessing the impact of sampling bias on node centralities in synthetic and biological networks12
TrackRefiner a tool for refinement of bacillus cell tracking data12
A statistical framework for detecting therapy-induced resistance from drug screens12
Genetic risk in Alzheimer’s disease12
A benchmark of RNA-seq data normalization methods for transcriptome mapping on human genome-scale metabolic networks12
Publisher Correction: Mammalian synthetic gene circuits for biopharmaceutical development & manufacture11
Transformer-based modeling of Clonal Selection and Expression Dynamics reveals resistance mechanisms in breast cancer11
Systematic proteomic analysis of neuroimaging metrics identifies therapeutic targets for pituitary neuroendocrine11
Network medicine informed multiomics integration identifies drug targets and repurposable medicines for Amyotrophic Lateral Sclerosis11
Longitudinal single-cell data informs deterministic modelling of inflammatory bowel disease11
Mathematical modeling and mechanisms of HIV latency for personalized anti latency therapies11
Peptide hemolytic activity analysis using visual data mining of similarity-based complex networks10
Modelling reliable metabolic phenotypes by analysing the context-specific transcriptomics data10
Dual RAF inhibition outperforms RAF-MEK combinations for suppressing ERK signaling in KRAS mutant cells10
Rewiring miR-22/SNAI1 via CRISPR-based edge editing destabilizes the epithelial phenotype10
Computational modeling of AMPK and mTOR crosstalk in glutamatergic synapse calcium signaling10
Machine learning estimation of FVIII pharmacokinetic parameters in Chinese children with severe Hemophilia A10
A novel approach to quantify out-of-distribution uncertainty in Neural and Universal Differential Equations10
Computational identification of surface markers for isolating distinct subpopulations from heterogeneous cancer cell populations10
DeepARV: ensemble deep learning to predict drug-drug interaction of clinical relevance with antiretroviral therapy10
Cross-platform metabolomics imputation using importance-weighted autoencoders10
Understanding therapeutic tolerance through a mathematical model of drug-induced resistance10
Representation and quantification of module activity from omics data with rROMA10
A machine learning framework reveals key drivers of cytokine responses in a healthy human cohort10
Spatial analysis of malignant-immune cell interactions in the tumor microenvironment using topological data analysis10
Flexible modeling of regulatory networks improves transcription factor activity estimation10
Time and dose selective glucose metabolism for glucose homeostasis and energy conversion in the liver10
Integrating imaging and mathematical modeling to predict and optimize patient outcomes in oncology9
Author Correction: Mitochondria interaction networks show altered topological patterns in Parkinson’s disease9
Systems profiling reveals recurrently dysregulated cytokine signaling responses in ER+ breast cancer patients’ blood9
Mechanisms of rectified gap junctional coupling enhancing pacemaking activity of biologically engineered pacemaker cells9
Multi-omics integration reveals ANXA6-high γδ T cell–endothelial communication as a potential link between periodontitis and MASLD9
A Boolean model explains phenotypic plasticity changes underlying hepatic cancer stem cells emergence9
Patient-specific gene co-expression networks reveal novel subtypes and predictive biomarkers in lung adenocarcinoma9
BioNetGMMFit: estimating parameters of a BioNetGen model from time-stamped snapshots of single cells9
Sometimes extracellular recordings fail for good reasons8
Quantitative systems-based prediction of antimicrobial resistance evolution8
Data-driven energy landscape reveals critical genes in cancer progression8
An integrated study to decipher immunosuppressive cellular communication in the PDAC environment8
Mathematical model of the inflammatory response to acute and prolonged lipopolysaccharide exposure in humans8
Publisher Correction: Rethinking medical education through systems biology to address complexity8
Nucleus pulposus cell network modelling in the intervertebral disc8
Author Correction: Enhancing randomized clinical trials with digital twins8
Decoupling the chemical and physical origins of the seed spectral manifold in sorghum8
Liver progenitor cells perform wound healing in a scratch assay by concerted bistable circuits8
Insights gained from computational modeling of YAP/TAZ signaling for cellular mechanotransduction8
Optimal control theory as a method for designing multidrug adaptive therapy regimens8
Position-dependent effects of RNA-binding proteins in the context of co-transcriptional splicing8
Inferring relationships among major psychiatric disorders in a resting-state functional connectivity-informed embedding space8
Bridging silicon and carbon worlds with digital twins and on-chip systems in drug discovery8
PEACOCK: a machine learning approach to assess the validity of cell type-specific enhancer-gene regulatory relationships8
Cross-species transcriptomics translation reveals a role for the unfolded protein response in Mycobacterium tuberculosis infection8
GINv2.0: a comprehensive topological network integrating molecular interactions from multiple knowledge bases8
Multiscale, mechanistic model of Rheumatoid Arthritis to enable decision making in late stage drug development8
Immune digital twins for complex human pathologies: applications, limitations, and challenges8
GO2Sum: generating human-readable functional summary of proteins from GO terms8
Metabolic gene expression-based stratification and prognostic risk predictive model of head and neck squamous cell carcinoma8
A data-driven Boolean model explains memory subsets and evolution in CD8+ T cell exhaustion8
Making drugs from T cells: The quantitative pharmacology of engineered T cell therapeutics8
Reliable interpretability of biology-inspired deep neural networks8
Next generation lineage tracing and its applications to unravel development8
Targeting protein protein interactions and their modulators to enable new therapeutic strategies for human diseases8
Modeling single nucleus microglia across species identifies immune pathways and therapeutic candidates in Alzheimer’s disease8
Hybridizing mechanistic modeling and deep learning for personalized survival prediction after immune checkpoint inhibitor immunotherapy8
The antidepressive mechanism of Longya Lilium combined with Fluoxetine in mice with depression-like behaviors7
Old drugs, new tricks: leveraging known compounds to disrupt coronavirus-induced cytokine storm7
Revealing novel subtypes of synovial sarcoma through single cell transcriptomics7
MMP9 shapes cell mechanics to enable collective invasion in cancer7
Constraint-based modelling predicts metabolic signatures of low and high-grade serous ovarian cancer7
Open problems in synthetic multicellularity7
Drug repositioning for immunotherapy in breast cancer using single-cell analysis7
Molecular noise modulates transitions in the cell-fate differentiation landscape7
Asthma-mediated control of optic glioma growth via T cell-microglia interactions: A mathematical model7
Gene regulatory network reconstruction: harnessing the power of single-cell multi-omic data7
Exploring CHO cell stability during prolonged passaging via eXplainable AI driven flux balance analysis7
Forum on immune digital twins: a meeting report7
Emergence of multiple collective motility modes in a physical model of cell chains7
Intelligent tool orchestration for rapid mechanistic model prototyping: MCP servers as AI-biology interfaces7
Unraveling the effect of intra- and intercellular processes on acetaminophen-induced liver injury7
Global loss of metabolic responsiveness and elevated enzyme in leptin deficient obese mice during starvation7
Single-trajectory Bayesian modeling reveals multi-state diffusion of the MSH sliding clamp6
Data-driven modeling of amyloid-β targeted antibodies for Alzheimer’s disease6
Digital twins elucidate critical role of Tscm in clinical persistence of TCR-engineered cell therapy6
SwarmMAP: swarm learning for decentralized cell type annotation in single cell sequencing data6
Supervised machine learning identifies impaired mitochondrial quality control in β-cells with development of type 2 diabetes6
Neuronal and glial networks interact with traumatic brain injury to modulate cognition in ABCD study6
Author Correction: Network-driven cancer cell avatars for combination discovery and biomarker identification for DNA damage response inhibitors6
Deep learning for detecting and early predicting chronic obstructive pulmonary disease from spirogram time series6
Multi-omics reveals new links between Fructosamine-3-Kinase (FN3K) and core metabolic pathways6
A multi-omics approach for biomarker discovery in neuroblastoma: a network-based framework6
MorphoSim: an efficient and scalable phase-field framework for accurately simulating multicellular morphologies6
Biopsy location and tumor-associated macrophages in predicting malignant glioma recurrence using an in-silico model6
A deep learning approach predicting the activity of COVID-19 therapeutics and vaccines against emerging variants6
Deterministic patterns in single-cell transcriptomic data6
Minimally sufficient experimental design using identifiability analysis6
Alternative Promoters Drive Transcriptomic Reprogramming and Prognostic Stratification in TNBC6
Multiscale hyperbolic embedding reveals hierarchical structure in complex biological systems6
Phenotype prediction using biologically interpretable neural networks on multi-cohort multi-omics data6
Designing function-specific minimal microbiomes from large microbial communities6
Data driven network inference and longitudinal transcriptomics unveil dynamic regulation in Chronic Lymphocytic Leukaemia models6
Effective dose window for containing tumor burden under tolerable level6
From FAIR to CURE: guidelines for computational models of biological systems6
Simulation-based inference of cell migration dynamics in complex spatial environments6
Ecological disruptive selection acting on quantitative loci can drive sympatric speciation6
Loss of long-range co-expression is a common feature in cancer6
Pathway-centric visualization of cell-cell communication in single-cell transcriptomics data6
Multiscale modeling reveals synergy between CCL19 and PD-1 blockade in reshaping the TNBC microenvironment5
Virtual twins and the future of human developmental biology5
EpiScan: accurate high-throughput mapping of antibody-specific epitopes using sequence information5
Metabolic set theory: a generalized model of microbial interactions5
Computational analysis of arrhythmogenesis in KCNH2 T618I mutation-associated short QT syndrome and the pharmacological effects of quinidine and sotalol5
Generalized linear modeling of flow cytometry data to analyze immune responses in tuberculosis vaccine research5
Asking the right questions for mutagenicity prediction from BioMedical text5
Tipping-point transition from transient to persistent inflammation in pancreatic islets5
GraphTME: graph-based framework for predicting immunotherapy response by interpreting tumour microenvironment interactions using spatial transcriptomics5
Surrogate infection model predicts optimal alveolar macrophage number for clearance of Aspergillus fumigatus infections5
Th2 bias and T-cell exhaustion characterize the immunopathology of non-tuberculous mycobacterial pulmonary disease5
Experimentally-driven mathematical model to understand the effects of matrix deprivation in breast cancer metastasis5
Inferring absolute counts from proportions by constraining multivariate normal distributions5
Current state and open problems in universal differential equations for systems biology5
Microarray integrated spatial transcriptomics (MIST) for affordable and robust digital pathology5
Explainable deep learning for tumor dynamic modeling and overall survival prediction using Neural-ODE5
Computer experimentation reveals mechanisms for signaling and coupled transport that trade efficiency for robust growth5
Estimating treatment sensitivity in synthetic and in vitro tumors using a random differential equation model5
Codon usage and expression-based features significantly improve prediction of CRISPR efficiency5
Untargeted metabolomics reveals organism specific biomarkers of carbapenem resistance in Klebsiella pneumoniae and Escherichia coli5
When normalization induces correlation: shared and unstable references can create hidden dependencies5
The p21 resilience network: a conceptual framework linking senescence to ferroptosis and cuproptosis resistance5
Characterizing heterogeneous single-cell dose responses computationally and experimentally using threshold inhibition surfaces and dose-titration assays5
Path-based quantification of activation and repression in Boolean models using BooLEVARD5
A computational approach for perturbation-induced EMT transitions5
Topological data analysis of spatial patterning in heterogeneous cell populations: clustering and sorting with varying cell-cell adhesion5
Benchmarking and integrating human B-cell receptor genomic and antibody proteomic profiling5
Improvement in model flexibility reveals signaling pathway in T cell responses to pulsatile stimuli5
On the mechanisms of epidermal stemness and differentiation5
Splicing junction-based classifier for the detection of abnormal constitutive activation of the KEAP1-NRF2 system5
A system-level model reveals that transcriptional stochasticity is required for hematopoietic stem cell differentiation5
Model of metabolism and gene expression predicts proteome allocation in Pseudomonas putida4
Model-guided discovery of MTOR-oriented synergistic drug combinations in colorectal cancer4
Generative design of synthetic gene circuits for functional and evolutionary properties4
Changes in epistatic green-beard alleles induce domain shift in hypostatic rock-paper-scissors-like green-beard competition4
Breast cancer is detectable from peripheral blood using machine learning over T cell receptor repertoires4
Flexible modulation of hybrid feedback loops in competitive biological oscillators4
Interpreting MALDI imaging data for rare types of ampullary cancer using machine learning4
The art of modeling gene regulatory circuits4
A proteome optimal allocation model for elucidating effects of temperature on bacterial growth4
Understanding flux switching in metabolic networks through an analysis of synthetic lethals4
Bistability in type I toxin-antitoxin systems may lead to stress-induced persister formation4
interFLOW: maximum flow framework for the identification of factors mediating the signaling convergence of multiple receptors4
Network hypermotifs in biological systems: structure, dynamics, and functional implications4
Self-consistent signal transduction analysis for modeling context-specific signaling cascades and perturbations4
Including glutamine in a resource allocation model of energy metabolism in cancer and yeast cells4
Gene regulatory network inference during cell fate decisions by perturbation strategies4
Network-driven cancer cell avatars for combination discovery and biomarker identification for DNA damage response inhibitors4
A mathematical framework for comparison of intermittent versus continuous adaptive chemotherapy dosing in cancer4
Computational systems biology in disease modeling and control, review and perspectives4
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