The different ways through which specificity works in orthosteric and allosteric drugs

Ruth Nussinov*, Chung Jung Tsai

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

101 Scopus citations

Abstract

Currently, there are two types of drugs on the market: orthosteric, which bind at the active site; and allosteric, which bind elsewhere on the protein surface, and allosterically change the conformation of the protein binding site. In this perspective we argue that the different mechanisms through which the two drug types affect protein activity and their potential pitfalls call for different considerations in drug design. The key problem facing orthosteric drugs is side effects which can occur by drug binding to homologous proteins sharing a similar binding site. Hence, orthosteric drugs should have very high affinity to the target; this would allow a low dosage to selectively achieve the goal of target-only binding. By contrast, allosteric drugs work by shifting the free energy landscape. Their binding to the protein surface perturbs the protein surface atoms, and the perturbation propagates like waves, finally reaching the binding site. Effective drugs should have atoms in good contact with the 'right' protein atoms; that is, the contacts should elicit propagation waves optimally reaching the protein binding site target. While affinity is important, the design should consider the protein conformational ensemble and the preferred propagation states. We provide examples from functional in vivo scenarios for both types of cases, and suggest how high potency can be achieved in allosteric drug development.

Original languageEnglish
Pages (from-to)1311-1316
Number of pages6
JournalCurrent Pharmaceutical Design
Volume18
Issue number9
DOIs
StatePublished - Mar 2012

Funding

FundersFunder number
National Cancer InstituteZIABC010441

    Keywords

    • Affinity
    • Allosteric drug design
    • Allosteric drug development
    • Allosteric drug specificity
    • Allostery
    • Cellular network
    • Concentration
    • Dynamic landscape
    • Pathways

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