The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
In silico prediction of drug‐binding strengths to human serum albumin
Abstract
Drug binding to Human Serum Albumin (HSA) is an area of intense research. The pharmacokinetics and pharmacodynamics of drugs are strongly affected by their binding to this protein. In this article, the field is reviewed, as well as our models to predict drug‐binding affinities to HSA from drug structure. The physiological role of HSA is described, as well as its influence in drug action. The crystal structures of this protein are discussed, emphasizing the two drug‐binding sites and the fatty acids binding sites observed therein. The advantages of using high‐performance affinity chromatography to rapidly screen drugs for HSA binding are explained. The different QSAR models for HSA binding of restricted families of drugs (both from other groups and our group) are enumerated. Finally, a detailed description of our general models to predict drug‐binding strengths to HSA from structure is given. It is expected for these models to be useful in drug design and pharmaceutical research. © 2003 Wiley Periodicals, Inc. Med Res Rev, 23, No. 3, 275‐301, 2003
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Pharmaceutical innovation by the seven UK‐owned pharmaceutical companies (1964‐1985).
Prentis, R., Lis, Y., & Walker, Sr. (1988) · British Journal of Clinical Pharmacology · doi:10.1111/j.1365-2125.1988.tb03318.x · Cited by 471
Cited by
Structural Basis of the Drug-binding Specificity of Human Serum Albumin
Ghuman, J., Zunszain, P. A., Petitpas, I., Bhattacharya, A. A., Otagiri, M., & Curry, S. (2005) · Journal of Molecular Biology · doi:10.1016/j.jmb.2005.07.075 · Cited by 1,941
Abou-Zied, O. K., & Al-Shihi, O. I. K. (2008) · Journal of the American Chemical Society · doi:10.1021/ja8031289 · Cited by 531
Interactive Association of Drugs Binding to Human Serum Albumin
Yang, F., Zhang, Y., & Liang, H. (2014) · International Journal of Molecular Sciences · doi:10.3390/ijms15033580 · Cited by 376
Early ADME/T Predictions: Toy or Tool?
Tetko, I. V., & Oprea, T. I. (2008) · Chemoinformatics Approaches to Virtual Screening · doi:10.1039/9781847558879-00240 · Cited by 5
Metadata
- Authors
- Colmenarejo, G.
- Venue
- Medicinal Research Reviews
- Publisher
- Wiley
- Published
- 2003-01-28
- Volume
- 23
- Issue
- 3
- Pages
- 275-301
- ISSN
- 0198-6325 (ISSN-L)
- 1098-1128
- OpenAlex
- W2105898915
- Cited by
- 290
- References
- 1
- FWCI
- 2.57
- Type
- journal article
- Language
- en
- Open access
- closed
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