The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Binding Affinity and Kinetic Analysis of Targeted Small Molecule-Modified Nanoparticles
Open accessAbstract
Nanoparticles bearing surface-conjugated targeting ligands are increasingly being explored for a variety of biomedical applications. The multivalent conjugation of targeting ligands on the surface of nanoparticles is presumed to enhance binding to the desired target. However, given the complexities inherent in the interactions of nanoparticle surfaces with proteins, and the structural diversity of nanoparticle scaffolds and targeting ligands, our understanding of how conjugation of targeting ligands affects nanoparticle binding remains incomplete. Here, we use surface plasmon resonance (SPR) to directly and quantitatively study the affinity and binding kinetics of nanoparticles that display small molecules conjugated to their surface. We studied the interaction between a single protein target and a structurally related series of targeting ligands whose intrinsic affinity varies over a 4500-fold range and performed SPR at protein densities that reflect endogenous receptor densities. We report that even weak small molecule targeting ligands can significantly enhance target-specific avidity (by up to 4 orders of magnitude) through multivalent interactions and also observe a much broader range of kinetic effects than has been previously reported. Quantitative measurement of how the affinity and kinetics of nanoparticle binding vary as a function of different surface conjugations is a rapid, generalizable approach to nanoparticle characterization that can inform the design of nanoparticles for biomedical applications.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Kinetic analysis of macromolecular interactions using surface plasmon resonance biosensors
Myszka, D. G. (1997) · Current Opinion in Biotechnology · doi:10.1016/s0958-1669(97)80157-7 · Cited by 552
Cited by
Block copolymer micelles in nanomedicine applications
Cabral, H., Miyata, K., Osada, K., & Kataoka, K. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00199 · Cited by 1,309
Imaging macrophages with nanoparticles
Weissleder, R., Nahrendorf, M., & Pittet, M. J. (2014) · Nature Materials · doi:10.1038/nmat3780 · Cited by 809
Tassa, C., Shaw, S. Y., & Weissleder, R. (2011) · Accounts of Chemical Research · doi:10.1021/ar200084x · Cited by 653
Self-citationPhysiologically Based Pharmacokinetic Modeling of Nanoparticles
Li, M., Al-Jamal, K. T., Kostarelos, K., & Reineke, J. (2010) · ACS Nano · doi:10.1021/nn1018818 · Cited by 351
Ligand-installed nanocarriers toward precision therapy
Mi, P., Cabral, H., & Kataoka, K. (2020) · Advanced Materials · doi:10.1002/adma.201902604 · Cited by 350
Metadata
- Authors
- Tassa, C., Duffner, J. L., Lewis, T. A., Weissleder, R., Schreiber, S. L., Koehler, A. N., & Shaw, S. Y.
- Venue
- Bioconjugate Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2009-12-22
- Volume
- 21
- Issue
- 1
- Pages
- 14-19
- ISSN
- 1043-1802 (ISSN-L)
- 1520-4812
- OpenAlex
- W2094028552
- Cited by
- 202
- References
- 1
- FWCI
- 6.97
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Binding Affinity and Kinetic Analysis of Targeted Small Molecule-Modified Nanoparticles. https://app.cochat.ai/papers/10.1021/bc900438a
- The paper
- Tassa, C., Duffner, J. L., Lewis, T. A., Weissleder, R., Schreiber, S. L., Koehler, A. N., & Shaw, S. Y. (2010). Binding Affinity and Kinetic Analysis of Targeted Small Molecule-Modified Nanoparticles. Bioconjugate Chemistry. https://doi.org/10.1021/bc900438a
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.