ReviewNPJ systems biology and applications2022
Computational systems biology in disease modeling and control, review and perspectives.
Review in NPJ systems biology and applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.
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
39 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Q-marker identification strategies in traditional Chinese medicines: a systematic review of research from 2020 to 2024.Frontiers in medicine · 2025Pooled it
- Article
- Data-intensive immune network modelling for One Health.Briefings in bioinformatics · 2026Review
- Review
- Multiscale modeling reveals synergy between CCL19 and PD-1 blockade in reshaping the TNBC microenvironment.NPJ systems biology and applications · 2026Article
- Targeting metabolism to combat anticancer and antibacterial drug resistance.Trends in pharmacological sciences · 2026Review
- Artificial Intelligence in Transcriptomics: From Human-in-the-Loop to Agentic AI.Journal of personalized medicine · 2026Review
- Conserved Pathways, Divergent Outcomes: A Cross-Species Genomic Perspective on the Cancer-Neurodegeneration Paradox.International journal of molecular sciences · 2026Review
- Who's afraid of synthetic data? Hybrid approaches to deliver medical digital twins.Informatics in medicine unlocked · 2026Article
- Rethinking medical education through systems biology to address complexity.NPJ systems biology and applications · 2026Review
- Deciphering gut microbial impact in coronary artery disease through multimodal computational approaches.BMC microbiology · 2025Article
- Integrating in-silico and experimental validation approaches to unveil the therapeutic mechanism of naringenin against breast cancer.Scientific reports · 2025Article
- Review
- Advancing Alzheimer's Therapy: Computational strategies and treatment innovations.IBRO neuroscience reports · 2025Review
- Next-Generation Vaccine Platforms: Integrating Synthetic Biology, Nanotechnology, and Systems Immunology for Improved Immunogenicity.Vaccines · 2025Review
- An in silico approach deciphering the commensal dynamics in the cutaneous milieu.NPJ systems biology and applications · 2025Article
- Network analysis of multivariate time series data in biological systems: methods and applications.Briefings in bioinformatics · 2025Article
- Analysis of human urinary extracellular vesicles reveals disordered renal metabolism in myotonic dystrophy type 1.Nature communications · 2025Article
- Repurposing Drugs for Infectious Diseases by Graph Convolutional Network with Sensitivity-Based Graph Reduction.Interdisciplinary sciences, computational life sciences · 2025Article
- Chronic kidney disease and aging: dissecting the p53/p21 pathway as a therapeutic target.Biogerontology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Omics-based approaches have become increasingly influential in identifying disease mechanisms and drug responses. Considering that diseases and drug responses are co-expressed and regulated in the relevant omics data interactions, the traditional way of grabbing omics data from single isolated layers cannot always obtain valuable inference. Also, drugs have adverse effects that may impair patients, and launching new medicines for diseases is costly. To resolve the above difficulties, systems biology is applied to predict potential molecular interactions by integrating omics data from genomic, proteomic, transcriptional, and metabolic layers. Combined with known drug reactions, the resulting models improve medicines' therapeutical performance by re-purposing the existing drugs and combining drug molecules without off-target effects. Based on the identified computational models, drug administration control laws are designed to balance toxicity and efficacy. This review introduces biomedical applications and analyses of interactions among gene, protein and drug molecules for modeling disease mechanisms and drug responses. The therapeutical performance can be improved by combining the predictive and computational models with drug administration designed by control laws. The challenges are also discussed for its clinical uses in this work.
Indexed as
Identifiers
What Socratic 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 Socratic graph.