ArticleNucleic acids research2015
I-COMS: Interprotein-COrrelated Mutations Server.
Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 28 citations in OpenAlex.
- Global genomic diversity of temperate P2-like viruses.Communications biology · 2026Article
- Modeling Protein Complexes and Molecular Assemblies Using Computational Methods.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Towards Molecular Understanding of the Functional Role of UbiJ-UbiKInternational journal of molecular sciences · 2022Article
- MitImpact 3: modeling the residue interaction network of the Respiratory Chain subunits.Nucleic acids research · 2021Article
- Possible A2E Mutagenic Effects on RPE Mitochondrial DNA from Innovative RNA-Seq Bioinformatics Pipeline.Antioxidants (Basel, Switzerland) · 2020Article
- Chasing coevolutionary signals in intrinsically disordered proteins complexes.Scientific reports · 2020Article
- CoevDB: a database of intramolecular coevolution among protein-coding genes of the bony vertebrates.Nucleic acids research · 2019Article
- ComplexContact: a web server for inter-protein contact prediction using deep learning.Nucleic acids research · 2018Article
- InterEvDock2: an expanded server for protein docking using evolutionary and biological information from homology models and multimeric inputs.Nucleic acids research · 2018Article
- Forecasting residue-residue contact prediction accuracy.Bioinformatics (Oxford, England) · 2017Article
- Review
- InterEvDock: a docking server to predict the structure of protein-protein interactions using evolutionary information.Nucleic acids research · 2016Article
- Emerging Computational Methods for the Rational Discovery of Allosteric Drugs.Chemical reviews · 2016Review
- Exploring Human Diseases and Biological Mechanisms by Protein Structure Prediction and Modeling.Advances in experimental medicine and biology · 2016Article
- Coevolution of RAC Small GTPases and their Regulators GEF Proteins.Evolutionary bioinformatics online · 2016Article
- Aerobic Growth of Escherichia coli Is Reduced, and ATP Synthesis Is Selectively Inhibited when Five C-terminal Residues Are Deleted from the ϵ Subunit of ATP Synthase.The Journal of biological chemistry · 2015Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Interprotein contact prediction using multiple sequence alignments (MSAs) is a useful approach to help detect protein-protein interfaces. Different computational methods have been developed in recent years as an approximation to solve this problem. However, as there are discrepancies in the results provided by them, there is still no consensus on which is the best performing methodology. To address this problem, I-COMS (interprotein COrrelated Mutations Server) is presented. I-COMS allows to estimate covariation between residues of different proteins by four different covariation methods. It provides a graphical and interactive output that helps compare results obtained using different methods. I-COMS automatically builds the required MSA for the calculation and produces a rich visualization of either intraprotein and/or interprotein covariating positions in a circos representation. Furthermore, comparison between any two methods is available as well as the overlap between any or all four methodologies. In addition, as a complementary source of information, a matrix visualization of the corresponding scores is made available and the density plot distribution of the inter, intra and inter+intra scores are calculated. Finally, all the results can be downloaded (including MSAs, scores and graphics) for comparison and visualization and/or for further analysis.
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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 OpenQuestion graph.