Design and characterization of a functional library for NMR screening against novel protein targets

In the past few years, NMR has been extensively utilized as a screening tool for drug discovery using various types of compound libraries. The designs of NMR specific chemical libraries that utilize a fragment-based approach based on drug-like characteristics have been previously reported. In this article, a new type of compound library will be described that focuses on aiding in the functional annotation of novel proteins that have been identified from various ongoing genomics efforts. The NMR functional chemical library is comprised of small molecules with known biological activity such as: co-factors, inhibitors, metabolites and substrates. This functional library was developed through an extensive manual effort of mining several databases based on known ligand interactions with protein systems. In order to increase the efficiency of screening the NMR functional library, the compounds are screened as mixtures of 3-4 compounds that avoids the need to deconvolute positive hits by maintaining a unique NMR resonance and function for each compound in the mixture. The functional library has been used in the identification of general biological function of hypothetical proteins identified from the Protein Structure Initiative.     

Decoding a PNA encoded peptide library by PCR: the discovery of new cell surface receptor ligands

The ability to screen and identify new ligands for cell surface receptors has been a long-standing goal as it might allow targeting of pharmaceutically relevant receptors, such as integrins or G protein coupled receptors. Here, we present a method to amplify hits from a library of PNA-tagged peptides. To this end, human cells, overexpressing either integrins or the CCR6 receptor, were treated with a 10,000 member PNA-encoded peptide library. Extraction of the PNA tags from the surface of the cells was followed by a PNA-tag to DNA translation and amplification enabling decoding of the tags via microarray hybridization. This approach to ligand discovery facilitates screening for differences in surface-receptor ligands and/or receptor expression between different cell types, and opens up a practical approach to PNA-tag amplification.     

Competition STD NMR for the detection of high-affinity ligands and NMR-based screening

The reported competition STD NMR method combines saturation transfer difference (STD) NMR with competition binding experiments to allow the detection of high-affinity ligands that undergo slow chemical exchange on the NMR time-scale. With this technique, the presence of a competing high-affinity ligand in the compound mixture can be detected by the disappearance or reduction of the STD signals of a low-affinity indicator ligand. This is demonstrated on a BACE1 (beta-site amyloid precursor protein cleaving enzyme 1) protein-inhibitor system. This method can also be used to derive an approximate value, or a lower limit, for the dissociation constant of the potential ligand based on the reduction of the signal intensity of the STD indicator, which is illustrated on an HSA (human serum albumin) model system. This leads to important applications of the competition STD NMR method for lead discovery: it can be used (i) for compound library screening against a broad range of drug targets to identify both high- and low-affinity ligands and (ii) to rank order analogs rapidly and derive structure-activity relationships, which are used to optimize these NMR hits into viable drug leads.     

An ontology for pharmaceutical ligands and its application for in silico screening and library design

Annotation efforts in biosciences have focused in past years mainly on the annotation of genomic sequences. Only very limited effort has been put into annotation schemes for pharmaceutical ligands. Here we propose annotation schemes for the ligands of four major target classes, enzymes, G protein-coupled receptors (GPCRs), nuclear receptors (NRs), and ligand-gated ion channels (LGICs), and outline their usage for in silico screening and combinatorial library design. The proposed schemes cover ligand functionality and hierarchical levels of target classification. The classification schemes are based on those established by the EC, GPCRDB, NuclearDB, and LGICDB. The ligands of the MDL Drug Data Report (MDDR) database serve as a reference data set of known pharmacologically active compounds. All ligands were annotated according to the schemes when attribution was possible based on the activity classification provided by the reference database. The purpose of the ligand-target classification schemes is to allow annotation-based searching of the ligand database. In addition, the biological sequence information of the target is directly linkable to the ligand, hereby allowing sequence similarity-based identification of ligands of next homologous receptors. Ligands of specified levels can easily be retrieved to serve as comprehensive reference sets for cheminformatics-based similarity searches and for design of target class focused compound libraries. Retrospective in silico screening experiments within the MDDR01.1 database, searching for structures binding to dopamine D2, all dopamine receptors and all amine-binding class A GPCRs using known dopamine D2 binding compounds as a reference set, have shown that such reference sets are in particular useful for the identification of ligands binding to receptors closely related to the reference system. The potential for ligand identification drops with increasing phylogenetic distance. The analysis of the focus of a tertiary amine based combinatorial library compared to known amine binding class A GPCRs, peptide binding class A GPCRs, and LGIC ligands constitutes a second application scenario which illustrates how the focus of a combinatorial library can be treated quantitatively. The provided annotation schemes, which bridge chem- and bioinformatics by linking ligands to sequences, are expected to be of key utility for further systematic chemogenomics exploration of previously well explored target families.     

Identification and refinement of a peptide affinity ligand with unique specificity for a monoclonal anti-tenascin-C antibody by screening of a phage display library

Using phage display technology, a 22-mer peptide was selected as a ligand with unique specificity for the murine monoclonal ST2146 antibody that recognizes the EGF repeats region of the human tumor-associated antigen tenascin-C. This peptide, synthesized in an 8-branched form to enhance its binding properties, is useful in replacing the native antigen in the affinity and immunoreactivity characterization of the ST2146 antibody and its biotinylated derivatives. Affinity resins, prepared by immobilizing the mimotope or its shorter 10-mer binding unit on a chromatographic support, were able to capture ST2146 directly from the hybridoma supernatant, with antibody recovery and host cell protein (HCP) reduction similar to or better than protein A sorbent, a purity degree exceeding 95%, and full recovery of antibody activity. The affinity constants of both peptides, as determined by frontal analysis of broad-zone elution affinity chromatography and BiaCore measurements, were very similar and included in a range suitable for affinity ligands. Column capacity, determined by applying a large excess of purified ST2146 to 1 mL of column bed volume, was close to 50 mg/mL for both resins. These matrices retain their ST2146 binding properties after various treatments, including sanitization, thus indicating very high stability in terms of ligand leakage and degradation. Moreover, the short form shows higher enzymatic stability, thus proving more suitable as ligand for ST2146 affinity purification.     

Application of NMR SHAPES screening to an RNA target

Several NMR screening techniques have been developed in recent years to aid in the identification of lead drug compounds. These NMR methods have traditionally been used for protein targets, and here we examine their applicability for an RNA target. We used the SHAPES compound library to test three different NMR screening methodologies: the saturation transfer difference (STD), the 2D trNOESY, and the WaterLOGSY experiments. We found that the WaterLOGSY experiment was the most sensitive method for our RNA target, the P4P6 domain of the Tetrahymena thermophila Group I intron. Using the WaterLOGSY experiment, we found that 23 of the 112 SHAPES compounds interact with P4P6. To identify which of these 23 hits bind through nonspecific interactions, we counterscreened with a linear duplex RNA control and identified one of the SHAPES compounds as interacting with P4P6 specifically. We thus demonstrated that the WaterLOGSY experiment in combination with the SHAPES compound library can be used to efficiently find RNA binding lead compounds.     

Exploration of structure--activity relationships among foldamer ligands for a specific protein binding site via parallel and split-and-mix library synthesis

We describe the use of parallel and split-and-mix library synthesis strategies for exploration of structure-activity relationships among peptidic foldamer ligands for the BH3-recognition cleft of the anti-apoptotic protein Bcl-xL. This effort began with a chimeric (alpha/beta+alpha)-peptide oligomer (composed of an alpha/beta-peptide segment and an alpha-peptide segment) that we previously identified to bind tightly to the target cleft on Bcl-xL. The side chains that interact with Bcl-xL were varied in a 1000-member one-bead-one-compound library. Fluorescence polarization (FP) screening identified four new analogues with binding affinities similar to that of the lead compound but no analogues with enhanced affinity. These results suggested that significant improvements in affinity were unlikely in this series. We then used library synthesis to examine backbone variations in the C-terminal alpha-peptide segment of the lead compound. These studies provided an opportunity for direct comparison of parallel and split-and-mix synthesis formats for foldamer libraries with respect to synthetic variability and assay sensitivity. We found that compounds from both the parallel and one-bead-one-compound libraries could be reliably screened in a competition FP assay without purification of library members. Our findings should facilitate the use of combinatorial library synthesis for exploration of foldamers as inhibitors of protein-protein interactions.     

Site-selective labeling strategies for screening by NMR

NMR based screening has become an important tool in the pharmaceutical industry. Methods that provide information on the location of small molecule binding sites on the surface of a drug target (e. g. SAR-by-NMR and related techniques) are of particular interest. In order to extend the applicability of such techniques to drug targets of higher molecular weight, selective labeling strategies may be employed. Dual-amino acid selective labeling and site directed non-native amino acid replacement (SNAAR) allow for the selective detection of NMR resonances of a specific amino acid residue. This results in significantly reduced spectral complexity, which not only enables application to higher molecular weight systems, but also eliminates the need for sequential resonance assignment in order to identify the binding site. Regio-selective (or segmental) labeling of an entire protein domain of a multi domain protein may also be achieved. Labeling only a selected part of a multi domain protein (e. g. a catalytic or ligand binding domain) is an attractive way to simplify the spectral interpretation without disturbing the system under study.     

High-affinity mu opioid receptor ligands discovered by the screening of an exhaustively stereodiversified library of 1,5-enediols

In this communication, we report the synthesis of an exhaustively stereodiversified library of 16 1,5-enediols (2) and the screening of these compounds for mu opioid receptor (MOR) binding. The stereochemical configuration of 2 strongly impacted the binding affinity, and (S,S,S,R)-2 exhibited a Ki of 8.8 nM for MOR, comparable to that of endomorphin-2 (Ki = 1.2 nM). Moreover, compounds 2 exhibited 5-86-fold selectivity for MOR over delta opioid receptor (DOR) and 16-150-fold selectivity for MOR over kappa opioid receptor (KOR). Additionally, analogues of 2 were synthesized which showed the importance of the trans olefin for receptor binding but that modifications of the C-terminal amino acid were well tolerated. Ligand 11 is noteworthy because it retains only one of the amide bonds present in 1, but binds MOR with an affinity of 10 nM and 110- and 600-fold selectivity for MOR over DOR and KOR. These results demonstrate the utility of stereochemical diversity in the discovery of bioactive small molecules.     

Identification of ligands for RNA targets via structure-based virtual screening: HIV-1 TAR

Binding of the Tat protein to TAR RNA is necessary for viral replication of HIV-1. We screened the Available Chemicals Directory (ACD) to identify ligands to bind to a TAR RNA structure using a four-step docking procedure: rigid docking first, followed by three steps of flexible docking using a pseudobrownian Monte Carlo minimization in torsion angle space with progressively more detailed conformational sampling on a progressively smaller list of top-ranking compounds. To validate the procedure, we successfully docked ligands for five RNA complexes of known structure. For ranking ligands according to binding avidity, an empirical binding free energy function was developed which accounts, in particular, for solvation, isomerization free energy, and changes in conformational entropy. System-specific parameters for the function were derived on a training set of RNA/ligand complexes with known structure and affinity. To validate the free energy function, we screened the entire ACD for ligands for an RNA aptamer which binds l-arginine tightly. The native ligand ranked 17 out of ca. 153,000 compounds screened, i.e., the procedure is able to filter out >99.98% of the database and still retain the native ligand. Screening of the ACD for TAR ligands yielded a high rank for all known TAR ligands contained in the ACD and suggested several other potential TAR ligands. Eight of the highest ranking compounds not previously known to be ligands were assayed for inhibition of the Tat-TAR interaction, and two exhibited a CD₅₀ of ca. 1 M.     

Potentiometric flow-injection determination of copper-complexing organic ligands with a copper-wire indicating electrode

The potentiometric response of a copper-wire indicator electrode in a flow-injection system with a phosphate-buffered carrier stream can be used to determine copper-complexing ligands; glycine, histidine, L-cysteine, EDTA, ethylenediamine, triethylenetetramine, dopamine and imidazole are discussed. The electrode response is shown to give peak potentials with a Nernstian relationship to total injected ligand concentration over limited ranges, depending on the stoichiometry, stability, and oxidation state of the copper complexes formed. Galvanostatic measurements showed that complex formation with Cu²⁺ or Cu⁺ or mixed species can be responsible for the response characteristics. The effects of adding 0.1 M sodium chloride to the carrier stream are generally beneficial, particularly in obtaining sharper responses. Detection limits can be improved to about 10^?5 M by adding about 10^?5 M Cu²⁺ to the carrier stream, but the linear range of Nernstian response is then narrow.     

Inhibition of lethal endotoxin shock with an L-pyridylalanine containing metalloproteinase inhibitor selected by high-throughput screening of a new peptide library

Gelatinase B/MMP-9 fulfills crucial regulator or effector functions in disease states and may be pharmacologically targeted by specific inhibitors. The characteristics of cleavages of a natural gelatinase B substrate were simulated and amino acids with zinc-ion chelating side-groups were employed to design a library of peptide-based inhibitors. Here, we extend previous findings of combinatorial chemical synthesis and subsequent library deconvolution with a recently established high-throughput technology. This enabled us to study MMP inhibitors with two zinc-binding groups and to identify a new L-pyridylalanine-containing gelatinase B inhibitor. The peptide analog was found to inhibit, almost to the same degree, the neutrophil enzymes collagenase 2/ MMP-8 and MMP-9 and the monocytic tumor necrosis factor-alpha (TNF-alpha) converting enzyme (TACE/ADAM-17) in vitro and to protect mice against lethal endotoxinemia in vivo. These data illustrate the usefulness of the screening platform for protective inhibitor discovery and complement recent insights in the pathogenesis and treatment of shock syndromes.     

Amplification of bifunctional ligands for calmodulin from a dynamic combinatorial library

A well known strategy to prepare high affinity ligands for a biological receptor is to link together low affinity ligands. DCC (dynamic combinatorial chemistry) was used to select bifunctional protein ligands with high affinity relative to the corresponding monofunctional ligands. Thiol to disulfide linkage generated a small dynamic library of bifunctional ligands in the presence of calmodulin, a protein with two independently mobile domains. The binding constant of the bifunctional ligand (disulfide) most amplified by the presence of calmodulin is nearly two orders of magnitude higher than that of the corresponding monofunctional ligand (thiol).     

Stereoselective recognition of tripeptides guided by encoded library screening: construction of chiral macrocyclic tetraamide ruthenium receptor for peptide sensing

[structure: see text] Molecule sensor 1 is devised by incorporating the reporting unit of ruthenium(II) complex and two recognition motifs of chiral cyclotetraamides on the sidearms. The target binding tripeptides for sensor 1 were readily identified by using an encoded library screening method. This solid-phase screening indicated a preferable binding of molecule 1 with d-alanine over the l-isomer. The optical and NMR studies for the binding events of 1 with tripeptides Ac-Ala-Gly-Ala-NHC(12)H(25) in the solution phase showed a consistent trend for the stereoselective recognition of the dd-isomer over the ld-, dl-, and ll-isomers.