Molecular Systems Biology

Papers
(The median citation count of Molecular Systems Biology is 6. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
State of the interactomes: an evaluation of molecular networks for generating biological insights260
Dynamic human liver proteome atlas reveals functional insights into disease pathways234
Exogenous prion-like proteins and their potential to trigger cognitive dysfunction136
A split intein and split luciferase-coupled system for detecting protein-protein interactions100
Development and validation of AI/ML derived splice-switching oligonucleotides83
Stress‐sensitive dynamics of miRNAs and Elba1 in Drosophila embryogenesis78
Methylation reprogramming associated with aggressive prostate cancer and ancestral disparities76
Systematic identification of 20S proteasome substrates66
Leveraging prior knowledge to infer gene regulatory networks from single-cell RNA-sequencing data63
A transient mutational burst occurs during yeast colony development60
Molecular Systems Biology at 20: reflecting on the past, envisioning the future59
Enhancing nutritional niche and host defenses by modifying the gut microbiome57
Progress and new challenges in image-based profiling56
Author Correction: Spatial proteomics of ovarian cancer precursors delineates early disease changes and drug targets53
Author Correction: Systematic protein-protein interaction mapping for clinically relevant human GPCRs52
Host inflammatory dynamics reveal placental immune modulation by Group B Streptococcus during pregnancy50
Chromosome length is constrained by spindle scaling to ensure faithful mitosis in mammals47
Unlocking CRISPR-Cas9 editing for widely diverse Dictyostelid species46
A proximity proteomics pipeline with improved reproducibility and throughput45
Dimensionality reduction methods for extracting functional networks from large‐scale CRISPR screens44
Predicting cellular responses to complex perturbations in high‐throughput screens43
What we can learn from deep space communication for reproducible bioimaging and data analysis39
Author Correction: From coarse to fine: the absolute Escherichia coli proteome under diverse growth conditions37
Comprehensive quantitative modeling of translation efficiency in a genome‐reduced bacterium37
Epigenomic landscape of single vascular cells reflects developmental origin and disease risk loci37
Metabolic mutations reduce antibiotic susceptibility of E. coli by pathway-specific bottlenecks35
A novel combination therapy for ER+ breast cancer suppresses drug resistance via an evolutionary double-bind35
Systematic identification of structure-specific protein–protein interactions33
Deep learning for protein structure prediction and design—progress and applications33
Detection of PatIent-Level distances from single cell genomics and pathomics data with Optimal Transport (PILOT)33
CANTAO: guiding clustering and annotation in single-cell RNA sequencing using average overlap32
Predicting natural variation in the yeast phenotypic landscape with machine learning32
Author Correction: Predictive evolution of metabolic phenotypes using model-designed environments32
Yeast9: a consensus genome-scale metabolic model for S. cerevisiae curated by the community32
Five dominant amino acid substitution signatures shape tumour immunity30
Pan‐Cancer landscape of protein activities identifies drivers of signalling dysregulation and patient survival29
Estrogen receptor activation remodels TEAD1 gene expression to alleviate hepatic steatosis28
Turnover and replication analysis by isotope labeling (TRAIL) reveals the influence of tissue context on protein and organelle lifetimes28
Large‐scale phosphomimetic screening identifies phospho‐modulated motif‐based protein interactions28
Suppression of bacterial cell death underlies the antagonistic interaction between ciprofloxacin and tetracycline28
Vertical and horizontal gene transfer tradeoffs direct plasmid fitness27
Deep quantification of substrate turnover defines protease subsite cooperativity27
Persistent epigenetic memory of SARS-CoV-2 mRNA vaccination in monocyte-derived macrophages26
Evaluation of determinants of the serological response to the quadrivalent split‐inactivated influenza vaccine25
Resuscitation dynamics reveal persister partitioning after antibiotic treatment25
XCMS-METLIN: data-driven metabolite, lipid, and chemical analysis24
Protein buffering of aneuploidy is driven by coordinated factors identified through machine learning24
Mouse promoters are characterised by low occupancy and high turnover of RNA polymerase II24
Mutational biases favor complexity increases in protein interaction networks after gene duplication23
Constraints on the optimization of gene product diversity23
Systematic discovery of protein interaction interfaces using AlphaFold and experimental validation23
Paralog dispensability shapes homozygous deletion patterns in tumor genomes23
Phosphoproteomics of osimertinib-tolerant persister cells reveals targetable kinase-substrate signatures22
Phosphorylation‐linked complex profiling identifies assemblies required for Hippo signal integration22
Automated assembly of molecular mechanisms at scale from text mining and curated databases22
Vibrio natriegens genome‐scale modeling reveals insights into halophilic adaptations and resource allocation21
The molecular architecture of cell cycle arrest21
System‐wide optimization of an orthogonal translation system with enhanced biological tolerance21
Integrated systems biology approach identifies gene targets for endothelial dysfunction20
Mapping single‐cell responses to population‐level dynamics during antibiotic treatment20
Metabolic modelling reveals increased autonomy and antagonism in type 2 diabetic gut microbiota20
PerturbNet predicts single-cell responses to unseen chemical and genetic perturbations20
The DNA dialect: a comprehensive guide to pretrained genomic language models20
Uncovering the dynamics and consequences of RNA isoform changes during neuronal differentiation20
A self‐propagating, barcoded transposon system for the dynamic rewiring of genomic networks19
A scheduler for rhythmic gene expression19
Tissue-aware interpretation of genetic variants advances the etiology of rare diseases19
The solute carrier superfamily interactome19
Transcription factor expression is the main determinant of variability in gene co‐activity19
Proteomic compensation by paralogs preserves protein interaction networks after gene loss in cancer19
LaGrACE: estimating gene program dysregulation with latent regulatory network19
Who controls the tariffs of a human cell?19
From microbes to molecules: unveiling host-microbe interactions with spatial metabolomics19
Convergence of aging- and rejuvenation-related epigenetic alterations on PRC2 targets18
Real‐time genomics for One Health18
Optogenetic actuator – ERK biosensor circuits identify MAPK network nodes that shape ERK dynamics18
Fast analysis and engineering of protein function by microbe-independent deep assembly and screening18
Predicting molecular mechanisms of hereditary diseases by using their tissue‐selective manifestation17
Proteome-wide AlphaFold pool party17
CellRegMap : a statistical framework for mapping context‐specific regulatory variants using scRNA ‐seq17
Network integration of thermal proteome profiling with multi-omics data decodes PARP inhibition17
Somatic CpG hypermutation is associated with mismatch repair deficiency in cancer17
Keep calm and transcribe on: chromatin changes with age, but transcription can learn to live with it16
The impact of genomic variation on protein phosphorylation states and regulatory networks16
Time-resolved interactome profiling deconvolutes secretory protein quality control dynamics16
Updated benchmarking of variant effect predictors using deep mutational scanning16
Pulsed stimuli enable p53 phase resetting to synchronize single cells and modulate cell fate15
Spatial entropy drives the maintenance and dissemination of transferable plasmids15
Drug‐microenvironment perturbations reveal resistance mechanisms and prognostic subgroups in CLL14
PIFiA: self-supervised approach for protein functional annotation from single-cell imaging data14
Building and analyzing metacells in single-cell genomics data14
Viro3D: a comprehensive database of virus protein structure predictions14
Impact of drugs and environmental contaminants on amine production by gut bacteria14
Oncogenic PIK3CA corrupts growth factor signaling specificity14
An enzyme activation network reveals extensive regulatory crosstalk between metabolic pathways14
Machine learning-guided deconvolution of plasma protein levels14
Linking patient-specific basal MET phosphorylation levels to liver health13
µPhos: a scalable and sensitive platform for high-dimensional phosphoproteomics13
SLAM‐Drop ‐seq reveals mRNA kinetic rates throughout the cell cycle13
Quantifying the phenotypic information in mRNA abundance13
Subcellular mRNA kinetic modeling reveals nuclear retention as rate-limiting13
Analysis of proteome adaptation reveals a key role of the bacterial envelope in starvation survival13
Changes in chromatin accessibility are not concordant with transcriptional changes for single‐factor perturbations12
Single-cell analysis reveals critical toxin/antitoxin ratio triggering persister resuscitation12
Modeling unveils sex differences of signaling networks in mouse embryonic stem cells12
The population context is a driver of the heterogeneous response of epithelial cells to interferons12
Compensatory evolution to DNA replication stress is robust to nutrient availability12
Correction of a widespread bias in pooled chemical genomics screens improves their interpretability12
A multi‐layered network model identifies Akt1 as a common modulator of neurodegeneration12
Monocyte‐crosstalk drives interferon‐mediated signaling following SARS‐CoV ‐2 exposure12
Engineering mammalian cells for detection and treatment of cardiac injury12
A metabolic map of the DNA damage response identifies PRDX1 in the control of nuclear ROS scavenging and aspartate availability12
Enhanced flux potential analysis links changes in enzyme expression to metabolic flux12
Unique transcriptomes of sensory and non-sensory neurons: insights from Splicing Regulatory States11
Bacterial expression of a designed single‐chain IL ‐10 prevents severe lung inflammation11
Protein complexes in cells by AI ‐assisted structural proteomics11
Dynamic multi-omics and mechanistic modeling approach uncovers novel mechanisms of kidney fibrosis progression11
The genetic interaction map of the human solute carrier superfamily11
Growth‐mediated negative feedback shapes quantitative antibiotic response11
CellNeighborEX : deciphering neighbor‐dependent gene expression from spatial transcriptomics data11
A universal surface functionalization technique to chemically enhance live microbial cells11
Synovial matrix turnover controls immune cell spatial patterning in inflammation resolution11
Deciphering cross-cohort metabolic signatures of immune responses and their implications for disease pathogenesis10
Interrogation of RNA-protein interaction dynamics in bacterial growth10
Systematic multi‐level analysis of an organelle proteome reveals new peroxisomal functions10
One‐shot 13 C 15 N 10
Cell cycle criticality as a mechanism for robust cell population control10
Integrating knowledge and omics to decipher mechanisms via large‐scale models of signaling networks10
A stimulus‐contingent positive feedback loop enables IFN‐β dose‐dependent activation of pro‐inflammatory genes9
Conserved interfaces mediate multiple protein–protein interactions in a prokaryotic metabolon9
SyntheMol-RL: a flexible reinforcement learning framework for designing easily synthesizable antibiotics9
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 resistance9
Machine learning inference of continuous single-cell state transitions during myoblast differentiation and fusion9
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
Single‐cell biology: what does the future hold?9
High order expression dependencies finely resolve cryptic states and subtypes in single cell data9
Proteome-scale characterisation of motif-based interactome rewiring by disease mutations8
Probing cell identity hierarchies by fate titration and collision during direct reprogramming8
Comparative chromatin accessibility upon BDNF stimulation delineates neuronal regulatory elements8
A functional analysis of 180 cancer cell lines reveals conserved intrinsic metabolic programs8
Prediction of the 3D cancer genome from whole-genome sequencing using InfoHiC8
Mining the heparinome for cryptic antimicrobial peptides that selectively kill Gram-negative bacteria8
Dynamics of thyroid diseases and thyroid‐axis gland masses8
Essentiality and dynamic expression of the human tRNA pool during viral infection8
Quantitative essentiality in a reduced genome: a functional, regulatory and structural fitness map7
A negative feedback loop in the GPCR pathway underlies efficient coding of external stimuli7
Transcriptomic profiling of shed cells enables spatial mapping of cellular turnover in human organs6
Extensive folding variability between homologous chromosomes in mammalian cells6
Metabolic balance in colorectal cancer is maintained by optimal Wnt signaling levels6
Benchmarking AlphaFold ‐enabled molecular docking predictions for antibiotic discovery6
Coordination of MAPK and p53 dynamics in the cellular responses to DNA damage and oxidative stress6
Gemcitabine and ATR inhibitors synergize to kill PDAC cells by blocking DNA damage response6
Author Correction: Estrogen receptor activation remodels TEAD1 gene expression to alleviate hepatic steatosis6
VEFill: accurate and generalizable deep mutational scanning score imputation across protein domains6
ENDORSE: a prognostic model for endocrine therapy in estrogen‐receptor‐positive breast cancers6
An integrative epigenome-based strategy for unbiased functional profiling of clinical kinase inhibitors6
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