ArticleNucleic acids research2011
MIPS: curated databases and comprehensive secondary data resources in 2010.
Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 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
42 citing papers in PubMed.
- Interactome mapping in human excitatory neurons reveals novel risk genes and pathways in Alzheimer's disease.bioRxiv : the preprint server for biology · 2026Article
- A structurally informed human protein-protein interactome reveals proteome-wide perturbations caused by disease mutations.Nature biotechnology · 2025Article
- SynerGNet: A Graph Neural Network Model to Predict Anticancer Drug Synergy.Biomolecules · 2024Article
- Structurally-informed human interactome reveals proteome-wide perturbations by disease mutations.bioRxiv : the preprint server for biology · 2024Article
- The Cancer Research Database (CRDB): Integrated Platform to Gain Statistical Insight Into the Correlation Between Cancer and COVID-19.JMIR cancer · 2022Article
- VEuPathDB: the eukaryotic pathogen, vector and host bioinformatics resource center.Nucleic acids research · 2022Article
- A full-proteome, interaction-specific characterization of mutational hotspots across human cancers.Genome research · 2022Article
- IHP-PING-generating integrated human protein-protein interaction networks on-the-fly.Briefings in bioinformatics · 2021Article
- De novo missense variants disrupting protein-protein interactions affect risk for autism through gene co-expression and protein networks in neuronal cell types.Molecular autism · 2020Article
- The insertion of a mitochondrial selfish element into the nuclear genome and its consequences.Ecology and evolution · 2020Article
- Article
- Qualitative transcriptional signature for predicting pathological response of colorectal cancer to FOLFOX therapy.Cancer science · 2020Article
- LePrimAlign: local entropy-based alignment of PPI networks to predict conserved modules.BMC genomics · 2019Article
- Exploiting locational and topological overlap model to identify modules in protein interaction networks.BMC bioinformatics · 2019Article
- An interactome perturbation framework prioritizes damaging missense mutations for developmental disorders.Nature genetics · 2018Article
- NIPS, a 3D network-integrated predictor of deleterious protein SAPs, and its application in cancer prognosis.Scientific reports · 2018Article
- Interactome INSIDER: a structural interactome browser for genomic studies.Nature methods · 2018Article
- Genetic and functional characterization of disease associations explains comorbidity.Scientific reports · 2017Article
- Inhibition of the hexosamine biosynthetic pathway promotes castration-resistant prostate cancer.Nature communications · 2016Article
- Novel Neuroprotective Multicomponent Therapy for Amyotrophic Lateral Sclerosis Designed by Networked Systems.PloS one · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Munich Information Center for Protein Sequences (MIPS at the Helmholtz Center for Environmental Health, Neuherberg, Germany) has many years of experience in providing annotated collections of biological data. Selected data sets of high relevance, such as model genomes, are subjected to careful manual curation, while the bulk of high-throughput data is annotated by automatic means. High-quality reference resources developed in the past and still actively maintained include Saccharomyces cerevisiae, Neurospora crassa and Arabidopsis thaliana genome databases as well as several protein interaction data sets (MPACT, MPPI and CORUM). More recent projects are PhenomiR, the database on microRNA-related phenotypes, and MIPS PlantsDB for integrative and comparative plant genome research. The interlinked resources SIMAP and PEDANT provide homology relationships as well as up-to-date and consistent annotation for 38,000,000 protein sequences. PPLIPS and CCancer are versatile tools for proteomics and functional genomics interfacing to a database of compilations from gene lists extracted from literature. A novel literature-mining tool, EXCERBT, gives access to structured information on classified relations between genes, proteins, phenotypes and diseases extracted from Medline abstracts by semantic analysis. All databases described here, as well as the detailed descriptions of our projects can be accessed through the MIPS WWW server (http://mips.helmholtz-muenchen.de).
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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.