ReviewCurrent opinion in biotechnology2020
Precision medicine - networks to the rescue.
Review in Current opinion in biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 35 citations in OpenAlex.
- Genetic-based patient stratification in Alzheimer's disease.Scientific reports · 2024Article
- Mutational scanning pinpoints distinct binding sites of key ATGL regulators in lipolysis.Nature communications · 2024Article
- Enhanced Protein-Protein Interaction Discovery via AlphaFold-Multimer.bioRxiv : the preprint server for biology · 2024Article
- Quantification of biases in predictions of protein-protein binding affinity changes upon mutations.Briefings in bioinformatics · 2023Article
- Missense variant interaction scanning reveals a critical role of the FERM domain for tumor suppressor protein NF2 conformation and function.Life science alliance · 2023Article
- Network location and clustering of genetic mutations determine chronicity in a stylized model of genetic diseases.Scientific reports · 2022Article
- On the limits of graph neural networks for the early diagnosis of Alzheimer's disease.Scientific reports · 2022Article
- Disease-specific interactome alterations via epichaperomics: the case for Alzheimer's disease.The FEBS journal · 2022Review
- IID 2021: towards context-specific protein interaction analyses by increased coverage, enhanced annotation and enrichment analysis.Nucleic acids research · 2022Article
- De novo individualized disease modules reveal the synthetic penetrance of genes and inform personalized treatment regimens.Genome research · 2022Article
- Pharmacologically controlling protein-protein interactions through epichaperomes for therapeutic vulnerability in cancer.Communications biology · 2021Article
- ExploringMicrobial cell (Graz, Austria) · 2021Review
- The role of phenotype-based search approaches using public online databases in diagnostics of Mendelian disorders.Genetics in medicine : official journal of the American College of Medical Genetics · 2021Article
- Contextualized Protein-Protein Interactions.Patterns (New York, N.Y.) · 2021Article
- Multi-parametric characterization of drug effects on cells.F1000Research · 2020Article
- Disruption of redox homeostasis for combinatorial drug efficacy inCancer & metabolism · 2020Article
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 1 institution in 2 countries.
Funding
Abstract
Genetic variants are often not predictive of the phenotypic outcome. Individuals carrying the same pathogenic variant, associated with Mendelian or complex disease, can manifest to different extents, from severe-to-mild to no disease. Improving the accuracy of predicted clinical manifestations of genetic variants has emerged as one of the biggest challenges in precision medicine, which can only be addressed by understanding the mechanisms underlying genotype-phenotype relationships. Efforts to understand the molecular basis of these relationships have identified complex systems of interacting biomolecules that underlie cellular function. Here, we review recent advances in how modeling cellular systems as networks of interacting proteins has fueled identification of disease-associated processes, delineation of underlying molecular mechanisms, and prediction of the pathogenicity of variants. This review is intended to be inspiring for clinicians, geneticists, and network biologists alike who aim to jointly advance our understanding of human disease and accelerate progress toward precision medicine.
Indexed as
Identifiers
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.