ArticleBMC bioinformatics2012
The human "magnesome": detecting magnesium binding sites on human proteins.
Article in BMC bioinformatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 38 citations in OpenAlex.
- MIC: A deep learning tool for assigning ions and waters in cryo-EM and crystal structures.Nature communications · 2025Article
- New Advances in the Pharmacology and Toxicology of Lithium: A Neurobiologically Oriented Overview.Pharmacological reviews · 2024Review
- Magnesium and Vascular Calcification in Chronic Kidney Disease: Current Insights.International journal of molecular sciences · 2024Review
- Metal-binding proteins and proteases in RNA viruses: unravelling functional diversity and expanding therapeutic horizons.Journal of virology · 2023Article
- Interchangeable utilization of metals: New perspectives on the impacts of metal ions employed in ancient and extant biomolecules.The Journal of biological chemistry · 2021Review
- Translational evidence for lithium-induced brain plasticity and neuroprotection in the treatment of neuropsychiatric disorders.Translational psychiatry · 2021Review
- Total and ionized calcium and magnesium are significantly lowered in drug-naïve depressed patients: effects of antidepressants and associations with immune activation.Metabolic brain disease · 2019Article
- Formation of Unstable and very Reactive Chemical Species Catalyzed by Metalloenzymes: A Mechanistic Overview.Molecules (Basel, Switzerland) · 2019Review
- Towards a Unified Understanding of Lithium Action in Basic Biology and its Significance for Applied Biology.The Journal of membrane biology · 2017Review
- The Bologna Annotation Resource (BAR 3.0): improving protein functional annotation.Nucleic acids research · 2017Article
- The Importance of Magnesium in Clinical Healthcare.Scientifica · 2017Review
- Inseparable tandem: evolution chooses ATP and Ca2+ to control life, death and cellular signalling.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2016Review
- Quantitative imaging of magnesium distribution at single-cell resolution in brain tumors and infiltrating tumor cells with secondary ion mass spectrometry (SIMS).Journal of neuro-oncology · 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
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMagnesium research is increasing in molecular medicine due to the relevance of this ion in several important biological processes and associated molecular pathogeneses. It is still difficult to predict from the protein covalent structure whether a human chain is or not involved in magnesium binding. This is mainly due to little information on the structural characteristics of magnesium binding sites in proteins and protein complexes. Magnesium binding features, differently from those of other divalent cations such as calcium and zinc, are elusive. Here we address a question that is relevant in protein annotation: how many human proteins can bind Mg2+? Our analysis is performed taking advantage of the recently implemented Bologna Annotation Resource (BAR-PLUS), a non hierarchical clustering method that relies on the pair wise sequence comparison of about 14 millions proteins from over 300.000 species and their grouping into clusters where annotation can safely be inherited after statistical validation.
resultsAfter cluster assignment of the latest version of the human proteome, the total number of human proteins for which we can assign putative Mg binding sites is 3,751. Among these proteins, 2,688 inherit annotation directly from human templates and 1,063 inherit annotation from templates of other organisms. Protein structures are highly conserved inside a given cluster. Transfer of structural properties is possible after alignment of a given sequence with the protein structures that characterise a given cluster as obtained with a Hidden Markov Model (HMM) based procedure. Interestingly a set of 370 human sequences inherit Mg2+ binding sites from templates sharing less than 30% sequence identity with the template.
conclusionWe describe and deliver the "human magnesome", a set of proteins of the human proteome that inherit putative binding of magnesium ions. With our BAR-hMG, 251 clusters including 1,341 magnesium binding protein structures corresponding to 387 sequences are sufficient to annotate some 13,689 residues in 3,751 human sequences as "magnesium binding". Protein structures act therefore as three dimensional seeds for structural and functional annotation of human sequences. The data base collects specifically all the human proteins that can be annotated according to our procedure as "magnesium binding", the corresponding structures and BAR+ clusters from where they derive the annotation (http://bar.biocomp.unibo.it/mg).
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.