ArticlePLoS computational biology2017
General principles of binding between cell surface receptors and multi-specific ligands: A computational study.
Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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
27 citing papers in PubMed.
- Role of Cell Adhesion in Cancer Metastasis Formation: A Review.ACS omega · 2025Review
- Optimizing Ligand Valency to Maximize Tendon Accumulation of Peptide-Targeted Nanoparticles.ACS applied materials & interfaces · 2024Article
- Computational simulations of bispecific T cell engagers by a multiscale model.Biophysical journal · 2024Article
- Cheminformatics identification of modulators of key carbohydrate-metabolizing enzymes fromJournal of diabetes and metabolic disorders · 2023Article
- Blockade of Activin Receptor IIB Protects Arthritis Pathogenesis by Non-Amplification of Activin A-ACVR2B-NOX4 Axis Pathway.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Dynamics and Patterning of 5-Hydroxytryptamine 2 Subtype Receptors in JC Polyomavirus Entry.Viruses · 2022Article
- Distributed Acceleration of Adhesive Dynamics Simulations.Proceedings of 2022 29th European MPI Users' Group Meeting (EuroMPI/USA'2022) : September 26-28, 2022, Chattanooga, TN. European MPI Users' Group Meeting (29th : 2022 : Chattanooga, Tenn.) · 2022Article
- Expression of Recombinant CTLA-4 and PD-L1 Proteins Fused with Thioredoxin, and Determination of Their Ligand-Binding Activities.Reports of biochemistry & molecular biology · 2022Article
- Mesenchymal stem cells transfer mitochondria to allogeneic Tregs in an HLA-dependent manner improving their immunosuppressive activity.Nature communications · 2022Article
- Article
- Targeted Delivery of Chemotherapeutic Agents for Osteosarcoma Treatment.Frontiers in oncology · 2022Review
- G Protein-Coupled Receptors as Potential Intercellular Communication Mediators in Trypanosomatidae.Frontiers in cellular and infection microbiology · 2022Review
- Review
- Estrogen Receptor β Contributes to Both Hypertension and Hypothalamic Plasticity in a Mouse Model of Peri-Menopause.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Mechanistic dissection of spatial organization in NF-κB signaling pathways by hybrid simulations.Integrative biology : quantitative biosciences from nano to macro · 2021Article
- Etiologic Role of Kinases in the Progression of Human Cancers and Its Targeting Strategies.Indian journal of surgical oncology · 2021Article
- A computational study of co-inhibitory immune complex assembly at the interface between T cells and antigen presenting cells.PLoS computational biology · 2021Article
- Understanding the impacts of cellular environments on ligand binding of membrane receptors by computational simulations.The Journal of chemical physics · 2021Article
- Regulatory role of insulin-like growth factor-binding proteins in odontogenic mineralization in rats.Journal of molecular histology · 2021Article
- Effect of ambient temperature on respiratory tract cells exposed to SARS-CoV-2 viral mimicking nanospheres-An experimental study.Biointerphases · 2021Article
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.
Funding
Abstract
The interactions between membrane receptors and extracellular ligands control cell-cell and cell-substrate adhesion, and environmental responsiveness by representing the initial steps of cell signaling pathways. These interactions can be spatial-temporally regulated when different extracellular ligands are tethered. The detailed mechanisms of this spatial-temporal regulation, including the competition between distinct ligands with overlapping binding sites and the conformational flexibility in multi-specific ligand assemblies have not been quantitatively evaluated. We present a new coarse-grained model to realistically simulate the binding process between multi-specific ligands and membrane receptors on cell surfaces. The model simplifies each receptor and each binding site in a multi-specific ligand as a rigid body. Different numbers or types of ligands are spatially organized together in the simulation. These designs were used to test the relation between the overall binding of a multi-specific ligand and the affinity of its cognate binding site. When a variety of ligands are exposed to cells expressing different densities of surface receptors, we demonstrated that ligands with reduced affinities have higher specificity to distinguish cells based on the relative concentrations of their receptors. Finally, modification of intramolecular flexibility was shown to play a role in optimizing the binding between receptors and ligands. In summary, our studies bring new insights to the general principles of ligand-receptor interactions. Future applications of our method will pave the way for new strategies to generate next-generation biologics.
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.