Literature DB >> 10071748

Chance favors the prepared mind--from serendipity to rational drug design.

H Kubinyi1.   

Abstract

Accidental discoveries always played an important role in science, especially in the search for new drugs. Several examples of serendipitous findings, leading to therapeutically useful drugs, are presented and discussed. Captopril, an antihypertensive Angiotensin-converting enzyme inhibitor, was the first drug that could be derived from a structural model of a protein. Dorzolamide, a Carboanhydrase inhibitor for the treatment of glaucoma, and the HIV protease inhibitors Saquinavir, Indinavir, Ritonavir, and Nelfinavir are further examples of therapeutically used drugs from structure-based design. More enzyme inhibitors, e.g. the anti-influenza drugs Zanamivir and GS 4104, are in clinical development. In the absence of a protein 3D structure, the 3D structures of certain ligands may be used for rational design. This approach is exemplified by the design of specifically acting integrin receptor antagonists. In the last years, combinatorial and computational approaches became important methods for rational drug design. SAR by NMR searches for low-affinity ligands that bind to proximal subsites of an enzyme; linkage with an appropriate tether produces nanomolar inhibitors. The de novo design program LUDI and the docking program FlexX are tools for the computer-aided design of protein ligands. Work is in progress to combine such approaches to strategies for combinatorial drug design.

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Year:  1999        PMID: 10071748     DOI: 10.3109/10799899909036635

Source DB:  PubMed          Journal:  J Recept Signal Transduct Res        ISSN: 1079-9893            Impact factor:   2.092


  13 in total

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Review 6.  Non-dopamine receptor ligands for the treatment of Parkinson's disease. Insight into the related chemical/property space.

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7.  A novel small-molecule tumor necrosis factor α inhibitor attenuates inflammation in a hepatitis mouse model.

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10.  The virtue of innovation: innovation through the lenses of biological evolution.

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Journal:  J R Soc Interface       Date:  2015-02-06       Impact factor: 4.118

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