ReviewMolecules (Basel, Switzerland)2015
Investigation of Carbohydrate Recognition via Computer Simulation.
Review in Molecules (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
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Who cites it
7 citing papers in PubMed, 31 citations in OpenAlex.
- Molecular Behavior of Human β Defensin Type 3 Embedded in Different Model Lipid Membranes.Journal of chemical information and modeling · 2026Article
- Lectin Histochemistry: Historical Perspectives, State of the Art, and Future Directions.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Article
- The barley lectin, horcolin, binds high-mannose glycans in a multivalent fashion, enabling high-affinity, specific inhibition of cellular HIV infection.The Journal of biological chemistry · 2020Article
- Probing the role of cation-π interaction in the thermotolerance and catalytic performance of endo-polygalacturonases.Scientific reports · 2016Article
- The Promiscuity of Allosteric Regulation of Nuclear Receptors by Retinoid X Receptor.The journal of physical chemistry. B · 2016Article
- Protein-carbohydrate interactions as part of plant defense and animal immunity.Molecules (Basel, Switzerland) · 2015Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Carbohydrate recognition by proteins, such as lectins and other (bio)molecules, can be essential for many biological functions. Recently, interest has arisen due to potential protein and drug design and future bioengineering applications. A quantitative measurement of carbohydrate-protein interaction is thus important for the full characterization of sugar recognition. We focus on the aspect of utilizing computer simulations and biophysical models to evaluate the strength and specificity of carbohydrate recognition in this review. With increasing computational resources, better algorithms and refined modeling parameters, using state-of-the-art supercomputers to calculate the strength of the interaction between molecules has become increasingly mainstream. We review the current state of this technique and its successful applications for studying protein-sugar interactions in recent years.
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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.