ArticleStructure (London, England : 1993)2013
Functional classification of immune regulatory proteins.
Article in Structure (London, England : 1993), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 31 citations in OpenAlex.
- Conservation of Human IgSF Proteins Throughout Eukaryotic Evolution.Genome biology and evolution · 2026Article
- On the same side: VISTA and its ligands interact in cis on the cell surface.Protein science : a publication of the Protein Society · 2026Article
- Review
- Addressing the Problem of Lysine Glycation Prediction in Proteins via Recurrent Neural Networks.BioMed research international · 2025Article
- The constant domain of CRTAM is essential for high-affinity interaction with Nectin-like 2.Biochemistry and biophysics reports · 2024Article
- Estimating the accuracy of pharmacophore-based detection of cognate receptor-ligand pairs in the immunoglobulin superfamily.Proteins · 2021Article
- Residue-based pharmacophore approaches to study protein-protein interactions.Current opinion in structural biology · 2021Review
- Prokaryotic Expression of the Immunoglobulin's Domains of CRTAM to Characterize a Monoclonal Antibody.The protein journal · 2020Article
- Article
- Structure of the heterophilic interaction between the nectin-like 4 and nectin-like 1 molecules.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Identifying functionally informative evolutionary sequence profiles.Bioinformatics (Oxford, England) · 2018Article
- Structural Characterization and Function Prediction of Immunoglobulin-like Fold in Cell Adhesion and Cell Signaling.Journal of chemical information and modeling · 2018Article
- Neural immunoglobulin superfamily interaction networks.Current opinion in neurobiology · 2017Review
- ProtLID, a Residue-Based Pharmacophore Approach to Identify Cognate Protein Ligands in the Immunoglobulin Superfamily.Structure (London, England : 1993) · 2016Article
- Combination cancer immunotherapy and new immunomodulatory targets.Nature reviews. Drug discovery · 2015Review
- Expression, Clinical Significance, and Receptor Identification of the Newest B7 Family Member HHLA2 Protein.Clinical cancer research : an official journal of the American Association for Cancer Research · 2015Article
- Nectin family of cell-adhesion molecules: structural and molecular aspects of function and specificity.Cellular and molecular life sciences : CMLS · 2015Review
- Functional clustering of immunoglobulin superfamily proteins with protein-protein interaction information calibrated hidden Markov model sequence profiles.Journal of molecular biology · 2014Article
- Chicken CRTAM binds nectin-like 2 ligand and is upregulated on CD8+ αβ and γδ T lymphocytes with different kinetics.PloS one · 2013Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
The members of the immunoglobulin superfamily (IgSF) control innate and adaptive immunity and are prime targets for the treatment of autoimmune diseases, infectious diseases, and malignancies. We describe a computational method, termed the Brotherhood algorithm, which utilizes intermediate sequence information to classify proteins into functionally related families. This approach identifies functional relationships within the IgSF and predicts additional receptor-ligand interactions. As a specific example, we examine the nectin/nectin-like family of cell adhesion and signaling proteins and propose receptor-ligand interactions within this family. Guided by the Brotherhood approach, we present the high-resolution structural characterization of a homophilic interaction involving the class-I MHC-restricted T-cell-associated molecule, which we now classify as a nectin-like family member. The Brotherhood algorithm is likely to have a significant impact on structural immunology by identifying those proteins and complexes for which structural characterization will be particularly informative.
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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.