ArticleBMC bioinformatics2015
GPCRtm: An amino acid substitution matrix for the transmembrane region of class A G Protein-Coupled Receptors.
Article in BMC bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 28 citations in OpenAlex.
- tcrBLOSUM: an amino acid substitution matrix for sensitive alignment of distant epitope-specific TCRs.Briefings in bioinformatics · 2024Article
- Rapid transcriptomic and physiological changes in the freshwater pennate diatom Mayamaea pseudoterrestris in response to copper exposure.DNA research : an international journal for rapid publication of reports on genes and genomes · 2022Article
- Consequences of Substitution Model Selection on Protein Ancestral Sequence Reconstruction.Molecular biology and evolution · 2022Article
- Developments in Algorithms for Sequence Alignment: A Review.Biomolecules · 2022Review
- The mutational landscape of human olfactory G protein-coupled receptors.BMC biology · 2021Article
- BIO-GATS: A Tool for Automated GPCR Template Selection Through a Biophysical Approach for Homology Modeling.Frontiers in molecular biosciences · 2021Article
- Drug Repurposing on G Protein-Coupled Receptors Using a Computational Profiling Approach.Frontiers in molecular biosciences · 2021Article
- Substitution scoring matrices for proteins - An overview.Protein science : a publication of the Protein Society · 2020Review
- A two-stage computational approach to predict novel ligands for a chemosensory receptor.Current research in structural biology · 2020Article
- Modeling Structural Constraints on Protein Evolution via Side-Chain Conformational States.Molecular biology and evolution · 2019Article
- Computational design of thermostabilizing point mutations for G protein-coupled receptors.eLife · 2018Article
- Identifying human diamine sensors for death related putrescine and cadaverine molecules.PLoS computational biology · 2018Article
- Article
- Structure-Based Sequence Alignment of the Transmembrane Domains of All Human GPCRs: Phylogenetic, Structural and Functional Implications.PLoS computational biology · 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
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundProtein sequence alignments and database search methods use standard scoring matrices calculated from amino acid substitution frequencies in general sets of proteins. These general-purpose matrices are not optimal to align accurately sequences with marked compositional biases, such as hydrophobic transmembrane regions found in membrane proteins. In this work, an amino acid substitution matrix (GPCRtm) is calculated for the membrane spanning segments of the G protein-coupled receptor (GPCR) rhodopsin family; one of the largest transmembrane protein family in humans with great importance in health and disease.
resultsThe GPCRtm matrix reveals the amino acid compositional bias distinctive of the GPCR rhodopsin family and differs from other standard substitution matrices. These membrane receptors, as expected, are characterized by a high content of hydrophobic residues with regard to globular proteins. On the other hand, the presence of polar and charged residues is higher than in average membrane proteins, displaying high frequencies of replacement within themselves.
conclusionsAnalysis of amino acid frequencies and values obtained from the GPCRtm matrix reveals patterns of residue replacements different from other standard substitution matrices. GPCRs prioritize the reactivity properties of the amino acids over their bulkiness in the transmembrane regions. A distinctive role is that charged and polar residues seem to evolve at different rates than other amino acids. This observation is related to the role of the transmembrane bundle in the binding of ligands, that in many cases involve electrostatic and hydrogen bond interactions. This new matrix can be useful in database search and for the construction of more accurate sequence alignments of GPCRs.
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.