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1.
J Biomol Screen ; 15(9): 1029-41, 2010 Oct.
Article in English | MEDLINE | ID: mdl-20855559

ABSTRACT

Fragment-based screening (FBS) has gained acceptance in the pharmaceutical industry as an attractive approach for the identification of new chemical starting points for drug discovery programs in addition to classical strategies such as high-throughput screening. There is the concern that screening of fragments at high µM concentrations in biochemical assays results in increased false-positive and false-negative rates. Here the authors systematically compare the data quality of FBS obtained by enzyme activity-based fluorescence intensity, fluorescence lifetime, and mobility shift assays with the data quality from surface plasmon resonance (SPR) and nuclear magnetic resonance (NMR) methods. The serine protease trypsin and the matrix metalloprotease MMP12 were selected as model systems. For both studies, 352 fragments were selected each. From the data generated, all 3 biochemical protease assay methods can be used for screening of fragments with low false-negative and low false-positive rates, comparable to those achieved with the SPR-based assays. It can also be concluded that only fragments with a solubility higher than the screening concentration determined by means of NMR should be used for FBS purposes. Extrapolated to 10,000 fragments, the biochemical assays speed up the primary FBS process by approximately a factor of 10 and reduce the protease consumption by approximately 10,000-fold compared to NMR protein observation experiments.


Subject(s)
Biological Assay/methods , Drug Evaluation, Preclinical/methods , Matrix Metalloproteinase 12/metabolism , Peptide Fragments/analysis , Trypsin/metabolism , Animals , Cattle , Chromatography, Liquid , False Negative Reactions , False Positive Reactions , Feasibility Studies , Fluorescence , Humans , Kinetics , Light , Magnetic Resonance Spectroscopy , Mass Spectrometry , Peptide Fragments/chemistry , Scattering, Radiation , Solubility , Surface Plasmon Resonance
3.
Methods Mol Biol ; 575: 173-94, 2009.
Article in English | MEDLINE | ID: mdl-19727615

ABSTRACT

Chemogenomics knowledge-based drug discovery approaches aim to extract the knowledge gained from one target and to apply it for the discovery of ligands and hopefully drugs of a new target which is related to the parent target by homology or conserved molecular recognition. Herein, we demonstrate the potential of knowledge-based virtual screening by applying it to the MDM4-p53 protein-protein interaction where the MDM2-p53 protein-protein interaction constitutes the parent reference system; both systems are potentially relevant to cancer therapy. We show that a combination of virtual screening methods, including homology based similarity searching, QSAR (Quantitative Structure-Activity Relationship) methods, HTD (High Throughput Docking), and UNITY pharmacophore searching provide a successful approach to the discovery of inhibitors. The virtual screening hit list is of the magnitude of 50,000 compounds picked from the corporate compound library of approximately 1.2 million compounds. Emphasis is placed on the facts that such campaigns are only feasible because of the now existing HTCP (High throughput Cherry-Picking) automation systems in combination with robust MTS (Medium Throughput Screening) fluorescence-based assays. Given that the MDM2-p53 system constitutes the reference system, it is not surprising that significantly more and stronger hits are found for this interaction compared to the MDM4-p53 system. Novel, selective and dual hits are discovered for both systems. A hit rate analysis will be provided compared to the full HTS (High-throughput Screening).


Subject(s)
Drug Evaluation, Preclinical/statistics & numerical data , Knowledge Bases , Nuclear Proteins/chemistry , Protein Interaction Mapping/statistics & numerical data , Proto-Oncogene Proteins/chemistry , Tumor Suppressor Protein p53/chemistry , Cell Cycle Proteins , Decision Trees , Drug Discovery/statistics & numerical data , High-Throughput Screening Assays/statistics & numerical data , Humans , Models, Molecular , Molecular Biology/methods , Nuclear Proteins/metabolism , Proto-Oncogene Proteins/metabolism , Proto-Oncogene Proteins c-mdm2/chemistry , Proto-Oncogene Proteins c-mdm2/metabolism , Quantitative Structure-Activity Relationship , Structural Homology, Protein , Tumor Suppressor Protein p53/metabolism , User-Computer Interface
4.
Curr Opin Chem Biol ; 11(5): 511-7, 2007 Oct.
Article in English | MEDLINE | ID: mdl-17931957

ABSTRACT

In recent years, mass spectrometry has gained widespread use as an assay and screening technology in drug discovery because it enables sensitive, label-free detection of low-molecular weight modulators of biomolecules as well as sensitive and accurate detection of high-molecular weight modifications of biomolecules. Electrospray and matrix-assisted laser desorption ionization are the most widely used ionization techniques to identify chemical compounds interfering with enzymatic function, receptor-ligand binding or molecules modulating a protein-protein interaction of interest. Mass spectrometry based techniques are no longer restricted to screening in biochemical assay systems but have now become also applicable to imaging of biomolecules and chemical compounds in cell-based assay systems and even in highly complex tissue sections.


Subject(s)
Drug Evaluation, Preclinical/methods , Enzymes/drug effects , Mass Spectrometry/methods , Protein Binding/drug effects , Protein Interaction Mapping/methods
5.
Expert Rev Proteomics ; 4(1): 67-78, 2007 Feb.
Article in English | MEDLINE | ID: mdl-17288516

ABSTRACT

The expression of high levels of stable and functional proteins remains a bottleneck in many scientific endeavors, including the determination of structures in a high-throughput fashion or the screening for novel active compounds in modern drug discovery. Recently, numerous developments have been made to improve the production of soluble and active proteins in heterologous expression systems. These include modifications to the expression constructs, the introduction of new and/or improved pro- and eukaryotic expression systems, and the development of improved cell-free protein synthesis systems. The introduction of robotics has enabled a massive parallelization of expression experiments, thereby vastly increasing the throughput and, hopefully, the output of such experiments. In addition, the big challenges of recombinant overexpression of membrane and secreted proteins are tackled, and some new methods are reviewed.


Subject(s)
Cloning, Molecular/methods , Drug Evaluation, Preclinical/methods , Protein Biosynthesis , Cell-Free System , Eukaryotic Cells , Prokaryotic Cells , Robotics
6.
J Biomol Screen ; 11(6): 617-33, 2006 Sep.
Article in English | MEDLINE | ID: mdl-16760365

ABSTRACT

This article discusses the development of homogeneous, miniaturized assays for the identification of novel kinase inhibitors from very large compound collections. In particular, the suitability of time-resolved fluorescence resonance energy transfer (TR-RET) based on phospho-specific antibodies, an antibody-independent fluorescence polarization (FP) approach using metal-coated beads (IMAP technology), and the determination of adenosine triphosphate consumption through chemiluminescence is evaluated. These readouts are compared with regard to assay sensitivity, compound interference, reagent consumption, and performance in a 1536-well format, and practical considerations for their application in primary screening or in the identification of kinase substrates are discussed. All of the tested technologies were found to be suitable for miniaturized high-throughput screening (HTS) in principle, but each of them has distinct limitations and advantages. Therefore, the target-specific selection of the most appropriate readout technology is recommended to ensure maximal relevance of HTS campaigns.


Subject(s)
Fluorescence Polarization/methods , Fluorescence Resonance Energy Transfer/methods , Protein Kinases/analysis , Biological Assay/methods , Drug Evaluation, Preclinical , Particle Size , Peptides/chemistry , Substrate Specificity
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