Abstract
While three dimensional structures have long been used to search for new drug targets, only a fraction of new drugs coming to the market has been developed with the use of a structure-based drug discovery approach. However, the recent years have brought not only an avalanche of new macromolecular structures, but also significant advances in the protein structure determination methodology only now making their way into structure-based drug discovery. In this paper, we review recent developments resulting from the Structural Genomics (SG) programs, focusing on the methods and results most likely to improve our understanding of the molecular foundation of human diseases. SG programs have been around for almost a decade, and in that time, have contributed a significant part of the structural coverage of both the genomes of pathogens causing infectious diseases and structurally uncharacterized biological processes in general. Perhaps most importantly, SG programs have developed new methodology at all steps of the structure determination process, not only to determine new structures highly efficiently, but also to screen protein/ligand interactions. We describe the methodologies, experience and technologies developed by SG, which range from improvements to cloning protocols to improved procedures for crystallographic structure solution that may be applied in “traditional” structural biology laboratories particularly those performing drug discovery. We also discuss the conditions that must be met to convert the present high-throughput structure determination pipeline into a high-output structure-based drug discovery system.
Keywords: Structural genomics, structure determination, protein-small molecule complexes, infectious disease, drug discovery
Infectious Disorders - Drug Targets
Title: Benefits of Structural Genomics for Drug Discovery Research
Volume: 9 Issue: 5
Author(s): Marek Grabowski, Maksymilian Chruszcz, Matthew D. Zimmerman, Olga Kirillova and Wladek Minor
Affiliation:
Keywords: Structural genomics, structure determination, protein-small molecule complexes, infectious disease, drug discovery
Abstract: While three dimensional structures have long been used to search for new drug targets, only a fraction of new drugs coming to the market has been developed with the use of a structure-based drug discovery approach. However, the recent years have brought not only an avalanche of new macromolecular structures, but also significant advances in the protein structure determination methodology only now making their way into structure-based drug discovery. In this paper, we review recent developments resulting from the Structural Genomics (SG) programs, focusing on the methods and results most likely to improve our understanding of the molecular foundation of human diseases. SG programs have been around for almost a decade, and in that time, have contributed a significant part of the structural coverage of both the genomes of pathogens causing infectious diseases and structurally uncharacterized biological processes in general. Perhaps most importantly, SG programs have developed new methodology at all steps of the structure determination process, not only to determine new structures highly efficiently, but also to screen protein/ligand interactions. We describe the methodologies, experience and technologies developed by SG, which range from improvements to cloning protocols to improved procedures for crystallographic structure solution that may be applied in “traditional” structural biology laboratories particularly those performing drug discovery. We also discuss the conditions that must be met to convert the present high-throughput structure determination pipeline into a high-output structure-based drug discovery system.
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Cite this article as:
Grabowski Marek, Chruszcz Maksymilian, Zimmerman D. Matthew, Kirillova Olga and Minor Wladek, Benefits of Structural Genomics for Drug Discovery Research, Infectious Disorders - Drug Targets 2009; 9 (5) . https://dx.doi.org/10.2174/187152609789105704
DOI https://dx.doi.org/10.2174/187152609789105704 |
Print ISSN 1871-5265 |
Publisher Name Bentham Science Publisher |
Online ISSN 2212-3989 |

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