The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Halogen Bond: Its Role beyond Drug–Target Binding Affinity for Drug Discovery and Development
Open accessAbstract
Halogen bond has attracted a great deal of attention in the past years for hit-to-lead-to-candidate optimization aiming at improving drug-target binding affinity. In general, heavy organohalogens (i.e., organochlorines, organobromines, and organoiodines) are capable of forming halogen bonds while organofluorines are not. In order to explore the possible roles that halogen bonds could play beyond improving binding affinity, we performed a detailed database survey and quantum chemistry calculation with close attention paid to (1) the change of the ratio of heavy organohalogens to organofluorines along the drug discovery and development process and (2) the halogen bonds between organohalogens and nonbiopolymers or nontarget biopolymers. Our database survey revealed that (1) an obviously increasing trend of the ratio of heavy organohalogens to organofluorines was observed along the drug discovery and development process, illustrating that more organofluorines are worn and eliminated than heavy organohalogens during the process, suggesting that heavy halogens with the capability of forming halogen bonds should have priority for lead optimization; and (2) more than 16% of the halogen bonds in PDB are formed between organohalogens and water, and nearly 20% of the halogen bonds are formed with the proteins that are involved in the ADME/T process. Our QM/MM calculations validated the contribution of the halogen bond to the binding between organohalogens and plasma transport proteins. Thus, halogen bonds could play roles not only in improving drug-target binding affinity but also in tuning ADME/T property. Therefore, we suggest that albeit halogenation is a valuable approach for improving ligand bioactivity, more attention should be paid in the future to the application of the halogen bond for ligand ADME/T property optimization.
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
ZINC − A Free Database of Commercially Available Compounds for Virtual Screening
Irwin, J. J., & Shoichet, B. K. (2005) · Journal of Chemical Information and Modeling · doi:10.1021/ci049714+ · Cited by 4,058
How to improve R&D productivity: the pharmaceutical industry's grand challenge
Paul, S. M., Mytelka, D. S., Dunwiddie, C. T., Persinger, C. C., Munos, B. H., Lindborg, S. R., & Schacht, A. L. (2010) · Nature Reviews Drug Discovery · doi:10.1038/nrd3078 · Cited by 3,566
Cited by
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
Halogenase engineering and its utility in medicinal chemistry
Fraley, A. E., & Sherman, D. H. (2018) · Bioorganic & Medicinal Chemistry Letters · doi:10.1016/j.bmcl.2018.04.066 · Cited by 45
Vandeputte, M. M., Bilel, S., Tirri, M., Corli, G., Bassi, M., Layle, N. K., Fantinati, A., Walther, D., Iula, D. M., Baumann, M. H., et al. (2024) · Neuropharmacology · doi:10.1016/j.neuropharm.2024.110113 · Cited by 19
Balansa, W. (2023) · Jurnal Ilmiah PLATAX · doi:10.35800/jip.v11i2.48061 · Cited by 7
Metadata
- Authors
- Xu, Z., Yang, Z., Liu, Y., Lu, Y., Chen, K., & Zhu, W.
- Venue
- Journal of Chemical Information and Modeling
- Publisher
- American Chemical Society (ACS)
- Published
- 2014-01-06
- Volume
- 54
- Issue
- 1
- Pages
- 69-78
- ISSN
- 1549-9596 (ISSN-L)
- 1549-960X
- OpenAlex
- W2069931511
- Cited by
- 431
- References
- 2
- FWCI
- 10.81
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Halogen Bond: Its Role beyond Drug–Target Binding Affinity for Drug Discovery and Development. https://app.cochat.ai/papers/10.1021/ci400539q
- The paper
- Xu, Z., Yang, Z., Liu, Y., Lu, Y., Chen, K., & Zhu, W. (2014). Halogen Bond: Its Role beyond Drug–Target Binding Affinity for Drug Discovery and Development. Journal of Chemical Information and Modeling. https://doi.org/10.1021/ci400539q
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.