The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Nonbonding interactions of organic halogens in biological systems: implications for drug discovery and biomolecular design
Abstract
Halogenation is an important approach in lead optimization for drug development and about half of the molecules used in high-throughput screening are halogenated. However, there is neither a suitable theoretical algorithm for evaluating the interaction between the halogen atoms of a ligand and its target protein nor a detailed understanding of how a halogen atom interacts with electron-rich atoms or groups of the residues in the binding pocket. In this Perspective, we concentrate on nonbonding interactions of halogens from both crystallographic data and theoretical viewpoints. It is found that organic halogen atoms are favorably involved in a wide variety of noncovalent protein-ligand interactions, such as halogen bonds C-X...O and hydrogen bonds C-X...H, that show remarkable differences in terms of the geometrical and energetic features. In biological molecules, heavier halogens prefer to form linear interactions with oxygen atoms and aromatic pi systems as compared to N or S, while the mean intermolecular distances for these types of halogen bonds increase with the radius or polarizability of halogen atoms, viz., Cl < Br < I. Furthermore, F...H interactions in protein-ligand complexes exhibit disparate behavior relative to X...H (X = Cl, Br, I) counterparts. These observed tendencies of the interactions involving halogens are subsequently rationalized by means of ab initio calculations using small model systems. The results presented herein should be of great use in the rational design of halogenated ligands as inhibitors and drugs as well as in biological engineering.
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
Lee, C., Yang, W., & Parr, R. G. (1988) · Physical Review B · doi:10.1103/physrevb.37.785 · Cited by 100,874
Yun, C.-H., Boggon, T. J., Li, Y., Woo, M. S., Greulich, H., Meyerson, M., & Eck, M. J. (2007) · Cancer Cell · doi:10.1016/j.ccr.2006.12.017 · Cited by 1,192
Cited by
The Bright Future of Unconventional σ/π‐Hole Interactions
Bauzá, A., Mooibroek, T. J., & Frontera, A. (2015) · ChemPhysChem · doi:10.1002/cphc.201500314 · Cited by 710
Computational tools to model halogen bonds in medicinal chemistry.
Ford, M. C., & Ho, P. S. (2016) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.5b00997 · Cited by 143
Control of fibrosis with enhanced safety via asymmetric inhibition of prolyl‐tRNA synthetase 1
Yoon, I., Kim, S., Cho, M., You, K. A., Son, J., Lee, C., Suh, J. H., Bae, D., Kim, J. M., Oh, S., et al. (2023) · EMBO Molecular Medicine · doi:10.15252/emmm.202216940 · Cited by 22
A quantum mechanics-based halogen bonding scoring function for protein-ligand interactions.
Yang, Z., Liu, Y., Chen, Z., Xu, Z., Shi, J., Chen, K., & Zhu, W. (2015) · Journal of Molecular Modeling · doi:10.1007/s00894-015-2681-6 · Cited by 23
Metadata
- Authors
- Lu, Y., Wang, Y., & Zhu, W.
- Venue
- Physical Chemistry Chemical Physics
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2010
- Volume
- 12
- Issue
- 18
- Pages
- 4543
- ISSN
- 1463-9076 (ISSN-L)
- 1463-9084
- OpenAlex
- W1967566074
- Cited by
- 394
- References
- 2
- FWCI
- 20.59
- Type
- journal article
- Language
- en
- Open access
- closed
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: Nonbonding interactions of organic halogens in biological systems: implications for drug discovery and biomolecular design. https://app.cochat.ai/papers/10.1039/b926326h
- The paper
- Lu, Y., Wang, Y., & Zhu, W. (2010). Nonbonding interactions of organic halogens in biological systems: implications for drug discovery and biomolecular design. Physical Chemistry Chemical Physics. https://doi.org/10.1039/b926326h
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.