ArticleNucleic acids research2020
mCSM-membrane: predicting the effects of mutations on transmembrane proteins.
Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 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
55 citing papers in PubMed, 101 citations in OpenAlex.
- The GPCRDiabetologia · 2026Article
- A homozygous CTLA-4 variant causes CTLA-4 deficiency with severe immune dysregulation.Journal of human immunity · 2026Article
- Glycemic and bodyweight effects ofScience advances · 2026Article
- New RHCE*cE allele with c.872C>G and variable RH3 and RH4 phenotypes, predicted to encode p.Pro291Arg.Transfusion · 2026Article
- Recessive variants in mitochondrial complex I nuclear subunits are an underrated cause of optic atrophy.Brain : a journal of neurology · 2026Article
- Bridging local-global transmembrane protein contexts with contrastive pretraining for alignment-free pathogenicity prediction.Briefings in bioinformatics · 2026Article
- Prot-ΔΔG: Prediction of protein-protein binding affinity changes upon mutations with pre-training strategies.Journal of computer-aided molecular design · 2026Article
- Machine Learning Identifies Potential Accessory Resistance-Associated Mutations in HIV-1 Integrase.Research square · 2026Article
- Bi-allelic loss-of-function variants in JKAMP cause a neurodevelopmental syndrome associated with dysregulation of GPR37 trafficking.American journal of human genetics · 2026Article
- Docking-guided and phosphomimetic rational engineering of glucose-insensitive xylose transporters from Trichoderma reesei.Microbial cell factories · 2026Article
- Structural and Computational Insights into the Attenuated Innate Immune Recognition of the SARS-CoV-2 N15 Lineage, an Early-Pandemic Variant.Computational and structural biotechnology journal · 2026Article
- Classification models distinguish functional and trafficking effects of KCNQ1 variants to enhance variant interpretation.bioRxiv : the preprint server for biology · 2025Article
- Article
- Prediction of pathogenic mutations in human transmembrane proteins and their associated diseases via utilizing pre-trained Bio-LLMs.Communications biology · 2025Article
- Mapping variants in thyroid hormone transporter MCT8 to disease severity by genomic, phenotypic, functional, structural and deep learning integration.Nature communications · 2025Article
- A rare haplotype of the GJD3 gene segregating in familial Meniere's disease interferes with connexin assembly.Genome medicine · 2025Article
- Computational analyses of drug resistance mutations in katG and emb complexes in Mycobacterium tuberculosis.Proteins · 2025Article
- piscesCSM: prediction of anticancer synergistic drug combinations.Journal of cheminformatics · 2024Article
- Deep mutational scanning reveals sequence to function constraints for SWEET family transporters.bioRxiv : the preprint server for biology · 2024Article
- Engineering G protein-coupled receptors for stabilization.Protein science : a publication of the Protein Society · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 2 countries.
Funding
Abstract
Significant efforts have been invested into understanding and predicting the molecular consequences of mutations in protein coding regions, however nearly all approaches have been developed using globular, soluble proteins. These methods have been shown to poorly translate to studying the effects of mutations in membrane proteins. To fill this gap, here we report, mCSM-membrane, a user-friendly web server that can be used to analyse the impacts of mutations on membrane protein stability and the likelihood of them being disease associated. mCSM-membrane derives from our well-established mutation modelling approach that uses graph-based signatures to model protein geometry and physicochemical properties for supervised learning. Our stability predictor achieved correlations of up to 0.72 and 0.67 (on cross validation and blind tests, respectively), while our pathogenicity predictor achieved a Matthew's Correlation Coefficient (MCC) of up to 0.77 and 0.73, outperforming previously described methods in both predicting changes in stability and in identifying pathogenic variants. mCSM-membrane will be an invaluable and dedicated resource for investigating the effects of single-point mutations on membrane proteins through a freely available, user friendly web server at http://biosig.unimelb.edu.au/mcsm_membrane.
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.