Abstract
Molecular recognition process describes the interaction involving two molecules. In the case of biomolecules, these pairs of molecules could be protein-protein, protein-ligand or protein-nucleic acid. The first model to capture the essential features, behind the molecular recognition problem, was the lock-and-key paradigm. The overall analysis proteinprotein, protein-nucleic acid and protein-ligand interaction based on the three-dimensional structures and physicochemical parameters, such as binding affinity, opened the possibility to provide further insights in this basic phenomenon. The main ideas behind the molecular recognition are discussed in the present review.
Keywords: Binding affinity, molecular recognition, protein-ligand, drug-design
Current Drug Targets
Title: Molecular Recognition Models: A Challenge to Overcome
Volume: 9 Issue: 12
Author(s): Rafael Andrade Caceres, Ivani Pauli, Luis Fernando Saraiva Macedo Timmers and Walter Filgueira de Azevedo Jr.
Affiliation:
Keywords: Binding affinity, molecular recognition, protein-ligand, drug-design
Abstract: Molecular recognition process describes the interaction involving two molecules. In the case of biomolecules, these pairs of molecules could be protein-protein, protein-ligand or protein-nucleic acid. The first model to capture the essential features, behind the molecular recognition problem, was the lock-and-key paradigm. The overall analysis proteinprotein, protein-nucleic acid and protein-ligand interaction based on the three-dimensional structures and physicochemical parameters, such as binding affinity, opened the possibility to provide further insights in this basic phenomenon. The main ideas behind the molecular recognition are discussed in the present review.
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Cite this article as:
Caceres Andrade Rafael, Pauli Ivani, Macedo Timmers Saraiva Luis Fernando and de Azevedo Jr. Filgueira Walter, Molecular Recognition Models: A Challenge to Overcome, Current Drug Targets 2008; 9 (12) . https://dx.doi.org/10.2174/138945008786949414
DOI https://dx.doi.org/10.2174/138945008786949414 |
Print ISSN 1389-4501 |
Publisher Name Bentham Science Publisher |
Online ISSN 1873-5592 |
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