ReviewCellular and molecular life sciences : CMLS2010
From protein sequences to 3D-structures and beyond: the example of the UniProt knowledgebase.
Review in Cellular and molecular life sciences : CMLS, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed.
- Kaempferol protects melanocytes from ferroptosis by modulating the NF-κB/PTGS2 signaling axis in vitiligo.Apoptosis : an international journal on programmed cell death · 2026Article
- Naringenin inhibits ferroptosis to reduce radiation-induced lung injury: insights from network Pharmacology and molecular docking.Pharmaceutical biology · 2025Article
- Molecular Docking and Simulation Analysis of Glioblastoma Cell Surface Receptors and Their Ligands: Identification of Inhibitory Drugs Targeting Fibronectin Ligand to Potentially Halt Glioblastoma Pathogenesis.International journal of molecular sciences · 2025Article
- Combining network pharmacology and metabonomics to explore the mechanism of baicalin inhibiting PRRSV replication.Veterinary research communications · 2025Article
- Shashen Maidong Decoction's Effects on Chronic Bronchitis: A Multi-Method Approach.Current pharmaceutical design · 2025Article
- In-silico structural and functional analysis of nonsynonymous single nucleotide polymorphisms in humanIn silico pharmacology · 2025Article
- Advances in Computational Intelligence-Based Methods of Structure and Function Prediction of Proteins.Biomolecules · 2024Article
- Bioprospecting Microbial Diversity for Lignin Valorization: Dry and Wet Screening Methods.Frontiers in microbiology · 2020Review
- Transcriptomic and Proteomic Analysis of the Tentacles and Mucus ofMarine drugs · 2019Article
- NIPS, a 3D network-integrated predictor of deleterious protein SAPs, and its application in cancer prognosis.Scientific reports · 2018Article
- The Resistome of Low-Impacted Marine Environments Is Composed by Distant Metallo-β-Lactamases Homologs.Frontiers in microbiology · 2018Article
- Convergent Balancing Selection on the Mu-Opioid Receptor in Primates.Molecular biology and evolution · 2017Article
- GlycoMineScientific reports · 2016Article
- Evolutionary Conserved Positions Define Protein Conformational Diversity.PLoS computational biology · 2016Article
- Bioinformatic approaches to augment study of epithelial-to-mesenchymal transition in lung cancer.Physiological genomics · 2014Review
- Human germline and pan-cancer variomes and their distinct functional profiles.Nucleic acids research · 2014Article
- The protein-protein interaction network of eyestalk, Y-organ and hepatopancreas in Chinese mitten crab Eriocheir sinensis.BMC systems biology · 2014Article
- Selecting targets from eukaryotic parasites for structural genomics and drug discovery.Methods in molecular biology (Clifton, N.J.) · 2014Article
- Online tools for bioinformatics analyses in nutrition sciences.Advances in nutrition (Bethesda, Md.) · 2012Review
- Identification of new hematopoietic cell subsets with a polyclonal antibody library specific for neglected proteins.PloS one · 2012Article
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
Abstract
With the dramatic increase in the volume of experimental results in every domain of life sciences, assembling pertinent data and combining information from different fields has become a challenge. Information is dispersed over numerous specialized databases and is presented in many different formats. Rapid access to experiment-based information about well-characterized proteins helps predict the function of uncharacterized proteins identified by large-scale sequencing. In this context, universal knowledgebases play essential roles in providing access to data from complementary types of experiments and serving as hubs with cross-references to many specialized databases. This review outlines how the value of experimental data is optimized by combining high-quality protein sequences with complementary experimental results, including information derived from protein 3D-structures, using as an example the UniProt knowledgebase (UniProtKB) and the tools and links provided on its website ( http://www.uniprot.org/ ). It also evokes precautions that are necessary for successful predictions and extrapolations.
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.