ReviewMolecular cell2013
From systems to structure: bridging networks and mechanism.
Review in Molecular cell, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 47 citations in OpenAlex.
- Modular PheWAS reveals the therapeutic heterogeneity landscape of Danghong injection on stable angina pectoris.Molecular biomedicine · 2026Article
- Structural coverage of the human interactome.Briefings in bioinformatics · 2023Article
- In search of a Drosophila core cellular network with single-cell transcriptome data.G3 (Bethesda, Md.) · 2022Article
- A Quantitative Genetic Interaction Map of HIV Infection.Molecular cell · 2020Article
- Specificity in PDZ-peptide interaction networks: Computational analysis and review.Journal of structural biology: X · 2020Review
- Mapping genetic interactions in cancer: a road to rational combination therapies.Genome medicine · 2019Review
- Docking-based modeling of protein-protein interfaces for extensive structural and functional characterization of missense mutations.PloS one · 2017Article
- DEEPN as an Approach for Batch Processing of Yeast 2-Hybrid Interactions.Cell reports · 2016Article
- Systems Biology for Smart Crops and Agricultural Innovation: Filling the Gaps between Genotype and Phenotype for Complex Traits Linked with Robust Agricultural Productivity and Sustainability.Omics : a journal of integrative biology · 2015Review
- Systematic exploration of ubiquitin sequence, E1 activation efficiency, and experimental fitness in yeast.Journal of molecular biology · 2014Article
- Comparing protein folding in vitro and in vivo: foldability meets the fitness challenge.Current opinion in structural biology · 2014Review
- Structural bioinformatics of the interactome.Annual review of biophysics · 2014Review
- Modeling thrombin generation: plasma composition based approach.Journal of thrombosis and thrombolysis · 2014Review
- Genotype to phenotype via network analysis.Current opinion in genetics & development · 2013Review
- High-resolution network biology: connecting sequence with function.Nature reviews. Genetics · 2013Review
- Defining structural and evolutionary modules in proteins: a community detection approach to explore sub-domain architecture.BMC structural biology · 2013Article
- Protein production from the structural genomics perspective: achievements and future needs.Current opinion in structural biology · 2013Review
- Design principles of regulatory networks: searching for the molecular algorithms of the cell.Molecular cell · 2013Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
There is a wide gap between the generation of large-scale biological data sets and more-detailed, structural and mechanistic studies. However, recent studies that explicitly combine data from systems and structural biological approaches are having a profound effect on our ability to predict how mutations and small molecules affect atomic-level mechanisms, disrupt systems-level networks, and ultimately lead to changes in organismal fitness. In fact, we argue that a shared framework for analysis of nonadditive genetic and thermodynamic responses to perturbations will accelerate the integration of reductionist and global approaches. A stronger bridge between these two areas will allow for a deeper and more-complete understanding of complex biological phenomenon and ultimately provide needed breakthroughs in biomedical research.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.