ArticleProceedings of the National Academy of Sciences of the United States of America2016
Information capacity of specific interactions.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Hierarchical self-assembly for high-yield addressable complexity at fixed conditions.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Article
- Economical routes to size-specific assembly of self-closing structures.Science advances · 2024Article
- Ligand-receptor promiscuity enables cellular addressing.Cell systems · 2022Article
- From Molecular Recognition to the "Vehicles" of Evolutionary Complexity: An Informational Approach.International journal of molecular sciences · 2021Review
- Competing Ligands Can Both Obstruct and Enhance Protein-Complex Formation.Biophysical journal · 2019Article
- Nonequilibrium associative retrieval of multiple stored self-assembly targets.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Specific interactions are a hallmark feature of self-assembly and signal-processing systems in both synthetic and biological settings. Specificity between components may arise from a wide variety of physical and chemical mechanisms in diverse contexts, from DNA hybridization to shape-sensitive depletion interactions. Despite this diversity, all systems that rely on interaction specificity operate under the constraint that increasing the number of distinct components inevitably increases off-target binding. Here we introduce "capacity," the maximal information encodable using specific interactions, to compare specificity across diverse experimental systems and to compute how specificity changes with physical parameters. Using this framework, we find that "shape" coding of interactions has higher capacity than chemical ("color") coding because the strength of off-target binding is strongly sublinear in binding-site size for shapes while being linear for colors. We also find that different specificity mechanisms, such as shape and color, can be combined in a synergistic manner, giving a capacity greater than the sum of the parts.
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Registered trials
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