Molecular Systems Biology

Papers
(The median citation count of Molecular Systems Biology is 7. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
Development and validation of AI/ML derived splice-switching oligonucleotides410
A split intein and split luciferase-coupled system for detecting protein-protein interactions172
Systematic identification of 20S proteasome substrates143
Cell‐to‐cell and type‐to‐type heterogeneity of signaling networks: insights from the crowd109
Stress‐sensitive dynamics of miRNAs and Elba1 in Drosophila embryogenesis94
Exogenous prion-like proteins and their potential to trigger cognitive dysfunction93
State of the interactomes: an evaluation of molecular networks for generating biological insights73
SARS‐CoV‐2–host proteome interactions for antiviral drug discovery71
Dynamic human liver proteome atlas reveals functional insights into disease pathways70
Leveraging prior knowledge to infer gene regulatory networks from single-cell RNA-sequencing data68
Ultra‐high sensitivity mass spectrometry quantifies single‐cell proteome changes upon perturbation65
Author Correction: Systematic protein-protein interaction mapping for clinically relevant human GPCRs63
A transient mutational burst occurs during yeast colony development58
Time‐series transcriptomics and proteomics reveal alternative modes to decode p53 oscillations54
Host inflammatory dynamics reveal placental immune modulation by Group B Streptococcus during pregnancy51
Dimensionality reduction methods for extracting functional networks from large‐scaleCRISPRscreens50
Enhancing nutritional niche and host defenses by modifying the gut microbiome49
Predicting cellular responses to complex perturbations in high‐throughput screens45
A proximity proteomics pipeline with improved reproducibility and throughput45
High‐efficiency delivery of CRISPR‐Cas9 by engineered probiotics enables precise microbiome editing44
Suboptimal resource allocation in changing environments constrains response and growth in bacteria41
The genotype‐phenotype landscape of an allosteric protein40
Machine learning identifies molecular regulators and therapeutics for targeting SARS‐CoV2‐induced cytokine release39
Detection of PatIent-Level distances from single cell genomics and pathomics data with Optimal Transport (PILOT)39
Tensor‐structured decomposition improves systems serology analysis38
Characterizing chemical signaling between engineered “microbial sentinels” in porous microplates37
Author Correction: From coarse to fine: the absolute Escherichia coli proteome under diverse growth conditions35
Comprehensive quantitative modeling of translation efficiency in a genome‐reduced bacterium34
What we can learn from deep space communication for reproducible bioimaging and data analysis34
Systematic identification of structure-specific protein–protein interactions33
Yeast9: a consensus genome-scale metabolic model for S. cerevisiae curated by the community32
Metabolic mutations reduce antibiotic susceptibility of E. coli by pathway-specific bottlenecks31
Deep learning for protein structure prediction and design—progress and applications31
Estrogen receptor activation remodels TEAD1 gene expression to alleviate hepatic steatosis29
Author Correction: Predictive evolution of metabolic phenotypes using model-designed environments29
Pan‐Cancer landscape of protein activities identifies drivers of signalling dysregulation and patient survival29
Large‐scale phosphomimetic screening identifies phospho‐modulated motif‐based protein interactions28
Predicting natural variation in the yeast phenotypic landscape with machine learning27
Turnover and replication analysis by isotope labeling (TRAIL) reveals the influence of tissue context on protein and organelle lifetimes27
Resuscitation dynamics reveal persister partitioning after antibiotic treatment26
Deep quantification of substrate turnover defines protease subsite cooperativity26
SARS‐CoV‐2 structural coverage map reveals viral protein assembly, mimicry, and hijacking mechanisms26
Evaluation of determinants of the serological response to the quadrivalent split‐inactivated influenza vaccine25
Vertical and horizontal gene transfer tradeoffs direct plasmid fitness25
Mouse promoters are characterised by low occupancy and high turnover of RNA polymerase II24
Constraints on the optimization of gene product diversity24
Mutational biases favor complexity increases in protein interaction networks after gene duplication24
Paralog dispensability shapes homozygous deletion patterns in tumor genomes24
XCMS-METLIN: data-driven metabolite, lipid, and chemical analysis24
Persistent epigenetic memory of SARS-CoV-2 mRNA vaccination in monocyte-derived macrophages24
Systematic discovery of protein interaction interfaces using AlphaFold and experimental validation24
Metabolic modelling reveals increased autonomy and antagonism in type 2 diabetic gut microbiota23
Glycolysis/gluconeogenesis specialization in microbes is driven by biochemical constraints of flux sensing23
System‐wide optimization of an orthogonal translation system with enhanced biological tolerance23
Metabolomics paves the way for improved drug target identification23
The molecular architecture of cell cycle arrest22
Automated assembly of molecular mechanisms at scale from text mining and curated databases22
Phosphorylation‐linked complex profiling identifies assemblies required for Hippo signal integration22
Vibrio natriegens genome‐scale modeling reveals insights into halophilic adaptations and resource allocation22
Mapping single‐cell responses to population‐level dynamics during antibiotic treatment22
Who controls the tariffs of a human cell?21
A genome‐scale TF–DNA interaction network of transcriptional regulation ofArabidopsisprimary and specialized metabolism21
Uncovering the dynamics and consequences of RNA isoform changes during neuronal differentiation21
PerturbNet predicts single-cell responses to unseen chemical and genetic perturbations21
Engineering a genome‐reduced bacterium to eliminate Staphylococcus aureus biofilms in vivo21
Transcription factor expression is the main determinant of variability in gene co‐activity20
Integrated systems biology approach identifies gene targets for endothelial dysfunction20
A self‐propagating, barcoded transposon system for the dynamic rewiring of genomic networks20
LaGrACE: estimating gene program dysregulation with latent regulatory network20
The solute carrier superfamily interactome19
Tissue-aware interpretation of genetic variants advances the etiology of rare diseases19
From microbes to molecules: unveiling host-microbe interactions with spatial metabolomics18
Proteomic compensation by paralogs preserves protein interaction networks after gene loss in cancer18
Real‐time genomics for One Health17
Predicting molecular mechanisms of hereditary diseases by using their tissue‐selective manifestation17
Network integration of thermal proteome profiling with multi-omics data decodes PARP inhibition17
Somatic CpG hypermutation is associated with mismatch repair deficiency in cancer17
CellRegMap : a statistical framework for mapping context‐specific regulatory variants using scRNA ‐seq17
Optogenetic actuator – ERK biosensor circuits identify MAPK network nodes that shape ERK dynamics17
Single‐cell RNA sequencing of motoneurons identifies regulators of synaptic wiring in Drosophila embryos17
Unique features of transcription termination and initiation at closely spaced tandem human genes17
An enzyme activation network reveals extensive regulatory crosstalk between metabolic pathways16
Updated benchmarking of variant effect predictors using deep mutational scanning16
Time-resolved interactome profiling deconvolutes secretory protein quality control dynamics16
Pulsed stimuli enable p53 phase resetting to synchronize single cells and modulate cell fate16
PIFiA: self-supervised approach for protein functional annotation from single-cell imaging data15
Building and analyzing metacells in single-cell genomics data15
The impact of genomic variation on protein phosphorylation states and regulatory networks15
Modeling population size independent tissue epigenomes by ChIL‐seq with single thin sections15
Drug‐microenvironment perturbations reveal resistance mechanisms and prognostic subgroups inCLL15
An engineered bacterial therapeutic lowers urinary oxalate in preclinical models and in silico simulations of enteric hyperoxaluria15
Impact of drugs and environmental contaminants on amine production by gut bacteria15
Keep calm and transcribe on: chromatin changes with age, but transcription can learn to live with it15
Spatial entropy drives the maintenance and dissemination of transferable plasmids15
Oncogenic PIK3CA corrupts growth factor signaling specificity14
Perspective: a stirring role for metabolism in cells14
Linking patient-specific basal MET phosphorylation levels to liver health14
Quantifying the phenotypic information in mRNA abundance13
Proteome‐scale mapping of binding sites in the unstructured regions of the human proteome13
CFTR interactome mapping using the mammalian membrane two‐hybrid high‐throughput screening system13
The population context is a driver of the heterogeneous response of epithelial cells to interferons13
Subcellular mRNA kinetic modeling reveals nuclear retention as rate-limiting12
SLAM‐Drop‐seq reveals mRNA kinetic rates throughout the cell cycle12
µPhos: a scalable and sensitive platform for high-dimensional phosphoproteomics12
Analysis of proteome adaptation reveals a key role of the bacterial envelope in starvation survival12
Monocyte‐crosstalk drives interferon‐mediated signaling following SARS‐CoV ‐2 exposure11
Changes in chromatin accessibility are not concordant with transcriptional changes for single‐factor perturbations11
Compensatory evolution to DNA replication stress is robust to nutrient availability11
Modeling unveils sex differences of signaling networks in mouse embryonic stem cells11
The genetic interaction map of the human solute carrier superfamily11
A metabolic map of the DNA damage response identifies PRDX1 in the control of nuclear ROS scavenging and aspartate availability11
Quantitative contributions of TNF receptor superfamily members to CD8 + T‐cell responses11
Correction of a widespread bias in pooled chemical genomics screens improves their interpretability11
A multi‐layered network model identifies Akt1 as a common modulator of neurodegeneration10
Enhanced flux potential analysis links changes in enzyme expression to metabolic flux10
Dynamic multi-omics and mechanistic modeling approach uncovers novel mechanisms of kidney fibrosis progression10
CellNeighborEX: deciphering neighbor‐dependent gene expression from spatial transcriptomics data10
Protein complexes in cells by AI‐assisted structural proteomics10
Deciphering the physiological response of Escherichia coli under high ATP demand10
Unique transcriptomes of sensory and non-sensory neurons: insights from Splicing Regulatory States10
Growth‐mediated negative feedback shapes quantitative antibiotic response10
Genome‐scale metabolic modeling reveals SARS‐CoV‐2‐induced metabolic changes and antiviral targets9
Integrating knowledge and omics to decipher mechanisms via large‐scale models of signaling networks9
A stimulus‐contingent positive feedback loop enables IFN‐β dose‐dependent activation of pro‐inflammatory genes9
Machine learning inference of continuous single-cell state transitions during myoblast differentiation and fusion9
Proteome-scale characterisation of motif-based interactome rewiring by disease mutations9
Bacterial expression of a designed single‐chain IL ‐10 prevents severe lung inflammation9
One‐shot 13C15N‐metabolic flux analysis for simultaneous quantification of carbon and nitrogen flux9
Dynamics of thyroid diseases and thyroid‐axis gland masses9
Probing cell identity hierarchies by fate titration and collision during direct reprogramming9
Systematic multi‐level analysis of an organelle proteome reveals new peroxisomal functions9
Interrogation of RNA-protein interaction dynamics in bacterial growth9
Global atlas of predicted functional domains in Legionella pneumophila Dot/Icm translocated effectors9
Orthogonal replication with optogenetic selection evolves yeast JEN1 into a mevalonate transporter9
Synthetic gene circuits for cell state detection and protein tuning in human pluripotent stem cells9
Mechanistic model of MAPK signaling reveals how allostery and rewiring contribute to drug resistance8
Single‐cell biology: what does the future hold?8
A negative feedback loop in the GPCR pathway underlies efficient coding of external stimuli8
A functional analysis of 180 cancer cell lines reveals conserved intrinsic metabolic programs8
Mining the heparinome for cryptic antimicrobial peptides that selectively kill Gram-negative bacteria8
Quantitative essentiality in a reduced genome: a functional, regulatory and structural fitness map8
High order expression dependencies finely resolve cryptic states and subtypes in single cell data8
Prediction of the 3D cancer genome from whole-genome sequencing using InfoHiC8
Distinct transcription kinetics of pluripotent cell states8
Differentiation‐related epigenomic changes define clinically distinct keratinocyte cancer subclasses7
Metabolic balance in colorectal cancer is maintained by optimal Wnt signaling levels7
Extensive folding variability between homologous chromosomes in mammalian cells7
Vesalius: high‐resolution in silico anatomization of spatial transcriptomic data using image analysis7
Benchmarking AlphaFold ‐enabled molecular docking predictions for antibiotic discovery7
Predictive evolution of metabolic phenotypes using model‐designed environments7
Author Correction: Estrogen receptor activation remodels TEAD1 gene expression to alleviate hepatic steatosis7
An integrative epigenome-based strategy for unbiased functional profiling of clinical kinase inhibitors7
Multi-epitope immunocapture of huntingtin reveals striatum-selective molecular signatures7
Comparative chromatin accessibility upon BDNF stimulation delineates neuronal regulatory elements7
ENDORSE: a prognostic model for endocrine therapy in estrogen‐receptor‐positive breast cancers7
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