ArticleNucleic acids research2019
mCSM-PPI2: predicting the effects of mutations on protein-protein interactions.
Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 195 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
195 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Integrative Bioinformatics Analysis: Unraveling Variant Signatures and Single-Nucleotide Polymorphism Markers Associated with 5-FU-Based Chemotherapy Resistance in Colorectal Cancer Patients.Journal of gastrointestinal cancer · 2024Pooled it
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- A Multi-Model Strategy for Optimizing Hepatitis B Virus preS1 Epitope Recognition by the Antibody HzKR127.Current issues in molecular biology · 2026Article
- STXBP1 Variants Associated With Epilepsy With Variable Severity.CNS neuroscience & therapeutics · 2026Article
- Evolutionary Divergence, Predicted Interaction Interface, and Regulatory Specialization of MTB as a Non-Catalytic Scaffold in the Plant m6A Writer Complex.Current issues in molecular biology · 2026Article
- Cofilin-1 is a redox-sensitive guard of the NLRP3 inflammasome.Nature immunology · 2026Article
- Enhancing mutation impact prediction in protein-protein interactions through interpretable graph-based multi-level feature interactions.Bioinformatics (Oxford, England) · 2026Article
- Isolated absence epilepsy associated with a de novo FBXW7 missense variant in the F-box domain.Epilepsia open · 2026Article
- Structural modeling and docking analysis of canonical and novel resistance-associated missense mutations in Sudanese Escherichia coli.Scientific reports · 2026Article
- Predicting interaction-specific protein-protein interaction perturbations by missense variants with MutPred-PPI.bioRxiv : the preprint server for biology · 2026Article
- Structural Insights into the Receptor-Binding Domain of Bat Coronavirus HKU5-CoV-2: Implications for Zoonotic Transmission via ACE2.Animals : an open access journal from MDPI · 2026Article
- AFrontiers in immunology · 2026Article
- Predictive Model for Single-Site Mutations That Change Intrinsically Disordered Protein Binding Energetics.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Engineering of the Melanoma Inhibitor of Apoptosis (ML-IAP) Anticancer Peptide Through Comprehensive In Silico Approaches.Human mutation · 2026Article
- Structural and Functional Analysis of Porcine CR1-like Proteins in C4b-Mediated Immune Responses.Veterinary sciences · 2025Article
- Structural insights into cationic amino acid transport and viral receptor engagement by CAT1.Nature communications · 2025Article
- Bioinformatics-driven identification of pathogenic missense nsSNPs in the human proto-oncogene SRC and cancer susceptibility.Journal, genetic engineering & biotechnology · 2025Article
- Seq2Bind webserver for binding site prediction from sequences using fine-tuned protein language models.NAR genomics and bioinformatics · 2025Article
- PPAC: Predicting Protein-Protein Affinity Changes Induced by Amino Acid Mutations Using Protein Large Language Models.ACS omega · 2025Article
- Editing of rice PSEUDO-ETIOLATION IN LIGHT microProtein genes promotes chloroplast development.The Plant cell · 2025Article
135 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Protein-protein Interactions are involved in most fundamental biological processes, with disease causing mutations enriched at their interfaces. Here we present mCSM-PPI2, a novel machine learning computational tool designed to more accurately predict the effects of missense mutations on protein-protein interaction binding affinity. mCSM-PPI2 uses graph-based structural signatures to model effects of variations on the inter-residue interaction network, evolutionary information, complex network metrics and energetic terms to generate an optimised predictor. We demonstrate that our method outperforms previous methods, ranking first among 26 others on CAPRI blind tests. mCSM-PPI2 is freely available as a user friendly webserver at http://biosig.unimelb.edu.au/mcsm_ppi2/.
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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 Socratic graph.