Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Cellular ...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Cellular Biochemistry
Article . 2001 . Peer-reviewed
License: Wiley TDM
Data sources: Crossref
versions View all 2 versions
addClaim

Incorporating target heterogeneity in drug design

Authors: A, Velazquez-Campoy; E, Freire;

Incorporating target heterogeneity in drug design

Abstract

Traditionally, structure-based drug design has been predicated on the idea of the lock-and-key hypothesis, i.e., the ideal drug should have a structure that complements the target site structurally and energetically. The implementation of this idea has lead to the development of drug molecules that are conformationally constrained and pre-shaped to the geometry of the selected target. The main drawback of this strategy is that conformationally constrained molecules cannot accommodate to variability in the target and, therefore, lose significant binding affinity even in the presence of small changes in the target site. There are three common situations that lead to binding site heterogeneity: (1) genetic diversity; (2) drug resistant mutations; and (3) binding site dynamics. The development of drugs that effectively deal with target heterogeneity requires the introduction of certain degree of flexibility. However, flexibility cannot be introduced indiscriminately because it would lead to a loss of binding affinity and specificity. Recently, structure-based thermodynamic strategies aimed at developing adaptative ligands that target heterogeneous sites have been proposed. In this article, these strategies are discussed within the context of the development of second generation HIV-1 protease inhibitors.

Related Organizations
Keywords

Binding Sites, Drug Resistance, Genetic Variation, HIV Protease Inhibitors, HIV Protease, Drug Design, Mutation, Humans, Thermodynamics, Forecasting

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    40
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
40
Top 10%
Top 10%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!