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REPLACE: a strategy for iterative design of cyclin-binding groove inhibitors.

We describe a drug-design strategy termed REPLACE (REplacement with Partial Ligand Alternatives through Computational Enrichment) in which nonpeptidic surrogates for specific determinants of known peptide ligands are identified in silico by using a core peptide-bound protein structure as a design anchor. In the REPLACE application example, we present the effective replacement of two critical binding motifs in a lead protein-protein interaction inhibitor pentapeptide with more druglike phenyltriazole and diphenyl ether groups. These were identified through docking of fragment libraries into the volume of the cyclin-binding groove of CDK2/cyclin A vacated through truncation of the inhibitor peptide-binding determinants. Proof of concept for this strategy was obtained through the generation of potent peptide-small-molecule hybrids and by the confirmation of inhibitor-binding modes in X-ray crystal structures. This method therefore allows nonpeptide fragments to be identified without the requirement for a high-sensitivity binding assay and should be generally applicable in replacing amino acids as individual residues or groups in peptide inhibitors to generate pharmaceutically acceptable lead molecules.

Amino Acid Substitution↗

Identification of metastasis-related genes in a mouse model using a library of randomized ribozymes.

Libraries of randomized ribozymes have considerable potential as tools for the identification of functional genes critically involved in a biological phenotype of interest in vitro. We have used a ribozyme library in an in vivo mouse model to identify genes related to metastasis. We injected weakly metastatic melanoma cells that had been treated with the library intravenously into mice. We then isolated ribozymes that accelerated metastasis from pulmonary tumors that had developed from metastasizing cells. As candidates for metastasis-related genes that were targets of the isolated ribozymes, we identified five unknown and three known genes: stromal interaction molecule 1 (STIM1), polymerase gamma2 accessory subunit (Polg2), and cytochrome P450, family 2, subfamily d, polypeptide 22 (Cyp2d22). Repression of four of these by small interfering RNAs indeed resulted in the accelerated mobility of cells in in vitro scratch-wound assay. The further characterization of these candidate genes would provide clues to the complex mechanism(s) of metastasis.

Animals↗

B-G cDNA clones have multiple small repeats and hybridize to both chicken MHC regions.

We used rabbit antisera to the chicken MHC erythrocyte molecule B-G and to the class I alpha chain (B-F) to screen lambda gt11 cDNA expression libraries made with RNA selected by oligo-dT from bone marrow cells of anemic B19 homozygous chickens. Eight clones were found to encode B-G molecules which hybridize with sequences in the chicken MHC as defined by congenic strains; the fusion proteins react with multiple immune but not preimmune sera, they select antibodies from the antisera to B-G, which then react with distinct erythrocyte B-G protein patterns, and they elicit antibodies from mice which in turn react with authentic B-G proteins. None of the clones represent a complete message, some--if not all--bear introns, and none of them match with any sequences presently stored in the data banks. The following new information did, however, emerge. At least two homologous transcripts are present in this homozygous chicken, thereby formally proving the existence of an expressed multigene family. The 3' ends (3'UT) are simple sequences with 80% nucleotide identity between clones, while the 5' ends (either coding or noncoding) are composed of multiple short repeats which are far less similar. These repeats could explain the bewildering variation in size of B-G proteins within and between haplotypes. Southern blots of genomic chicken DNA gave complex patterns for most probes, with many bands in common using different probes, but few bands in common between haplotypes. The sequences detected are all present in the MHC, based on the congenic lines CB and CC. Most of these sequences map into the B-G region, but some map into the B-F/B-L region as defined by the haplotypes B15, B21, and their apparently reciprocal recombinants B21r3 and B15r1.

Animals↗

A chemical genetic screen for cell cycle inhibitors in zebrafish embryos.

Chemical genetic screening is an effective strategy to identify compounds that alter a specific biological phenotype. As a complement to cell line screens, multicellular organism screens may reveal additional compounds. The zebrafish embryo is ideal for small molecule studies because of its small size and the ease of waterborne treatment. We first examined a broad range of known cell cycle compounds in embryos using the mitotic marker phospho-histone H3. The majority of the known compounds exhibited the predicted cell cycle effect in embryos. To determine whether we could identify novel compounds, we screened a 16 320-compound library for alterations of pH3. This screen revealed 14 compounds that had not been previously identified as having cell cycle activity despite numerous mitotic screens of the same library with mammalian cell lines. With six of the novel compounds, sensitivity was greater in embryos than cell lines, but activity was still detected in cell lines at higher doses. One compound had activity in zebrafish embryos and cell lines but not in mammalian cell lines. The remaining compounds exhibited activity only in embryos. These findings demonstrate that small molecule screens in zebrafish can identify compounds with novel activity and thus may be useful tools for chemical genetics and drug discovery.

Animals↗

Sequence analysis of zein cDNAs obtained by an efficient mRNA cloning method.

A cDNA library was generated from mRNA isolated from the developing endosperm of W22 maize inbred. cDNA clones for zein, the maize storage protein family, were isolated and analyzed by DNA sequencing. The DNA sequences of four clones containing cDNA copies of mRNAs belonging to one zein subfamily were determined. The data support the following conclusions: a) genes encoding the larger of the two zein species contain eleven instead of nine repeat units within the coding sequence of the gene; b) transcription can be terminated at either of the two polyadenlation signals and c) transcription starts 31 basepairs downstream from the first T in the TATA box. To facilitate this analysis a new method for the construction of cDNA libraries was developed. The mRNA was annealed to linearized and oligo-dT tailed pUC9 plasmid DNA, which then primed synthesis of the first strand of the cDNA. Oligo-dG tails were added to the cDNA-plasmid molecules, which were then centrifuged through an alkaline sucrose gradient. The gradient step removed small molecules and separated the two cDNAs which were formerly attached to the same double stranded plasmid molecule. An excess of oligo-dC tailed denatured pUC9 DNA was added and the DNA was renatured under conditions that favor the circularization of monomers by the oligo-dC and oligo-dG tails. The oligo-dC tail served as primer for the synthesis of the second strand of the cDNA. The library was screened by colony hybridization using 32P-labelled cDNA and DNA from genomic zein clones as probes. We obtained 20,000 clones hybridizing total cDNA starting with 1 microgram of plasmid DNA and 1 microgram of mRNA.

Amino Acid Sequence↗

Discovery of novel PTP1b inhibitors.

A small library of 19 compounds was designed based on unique structural features of PTP1b. Utilizing electrospray ionization mass spectrometry (ESI-MS) to provide binding information about complexes of enzyme and small molecule ligands, two classes of lead compounds were discovered.

Enzyme Inhibitors↗

Will combinatorial chemistry deliver real medicines?

Over the next decade, the impact of library synthesis will play a major role in shortening the lead optimization phase of drug discovery. The prognosis for combinatorial chemistry to discover fundamentally different new classes of therapeutically active small molecules against some of the more difficult biological targets is less certain. Expectations are high because the technology potentially allows us to sample available drug space by synthesizing all possible small molecule ligands (variously estimated to be between 10(30)-10(50) compounds). Some caution is advised, however, since, despite recent increases in high-throughput screening of substantially greater numbers of synthetic compounds and natural products, we are not routinely finding a plethora of new structures. The outcome may be that combinational chemistry offers us the ability to work faster on finding ligands for well-established tractable targets, such as G-protein-coupled receptors, ion channels or proteases, rather than, say, the more complex protein-protein interactions which from the majority of targets in signal transduction pathways.

Chemistry, Pharmaceutical↗

Molecular scaffold-based design and comparison of combinatorial libraries focused on the ATP-binding site of protein kinases.

Compound libraries were designed to target specifically the ATP cofactor-binding site in protein kinases by combining knowledge- and diversity-based design elements. A key aspect of the approach is the identification of molecular building blocks or scaffolds that are compatible with the binding site and therefore capture some aspects of target specificity. Scaffolds were selected on the basis of docking calculations and analysis of known inhibitors. We have generated 75 molecular scaffolds and applied different strategies to compute diverse compounds from scaffolds or, alternatively, to screen compound databases for molecules containing these scaffolds. The resulting libraries had a similar degree of molecular diversity, with at most 12% of the compounds being identical. However, their scaffold distributions differed significantly and a small number of scaffolds dominated the majority of compounds in each library.

Adenosine Triphosphate↗

Structural properties of Abeta protofibrils stabilized by a small molecule.

Metastable oligomeric and protofibrillar forms of amyloidogenic proteins have been implicated as on-pathway assembly intermediates in amyloid formation and as the major toxic species in a number of amyloid diseases including Alzheimer's disease. We describe here a chemical biology approach to structural analysis of Abeta protofibrils. Library screening yielded several molecules that stimulate Abeta aggregation. One of these compounds, calmidazolium chloride (CLC), rapidly and efficiently converts Abeta(1-40) monomers into clusters of protofibrils. As monitored by electron microscopy, these protofibrils persist for days when incubated in PBS at 37 degrees C, with a slow transition to fibrillar structures apparent only after several weeks. Like normal protofibrils, the CLC-Abeta aggregates exhibit a low thioflavin T response. Like Abeta fibrils, the clustered protofibrils bind the anti-amyloid Ab WO1. The CLC-Abeta aggregates exhibit the same protection from hydrogen-deuterium exchange as do protofibrils isolated from a spontaneous Abeta fibril formation reaction: approximately 12 of the 39 Abeta(1-40) backbone amide protons are protected from exchange in the protofibril, compared with approximately twice that number in amyloid fibrils. Scanning proline mutagenesis analysis shows that the Abeta molecule in these protofibrillar assemblies exhibits the same flexible N and C termini as do mature amyloid fibrils. The major difference in Abeta conformation between fibrils and protofibrils is added structural definition in the 22-29 segment in the fibril. Besides aiding structural analysis, compounds capable of facilitating oligomer and protofibril formation might have therapeutic potential, if they act to sequester Abeta in a form and/or location that cannot engage the toxic pathway.

Amino Acid Sequence↗

Experimental approaches to identify non-coding RNAs.

Cellular RNAs that do not function as messenger RNAs (mRNAs), transfer RNAs (tRNAs) or ribosomal RNAs (rRNAs) comprise a diverse class of molecules that are commonly referred to as non-protein-coding RNAs (ncRNAs). These molecules have been known for quite a while, but their importance was not fully appreciated until recent genome-wide searches discovered thousands of these molecules and their genes in a variety of model organisms. Some of these screens were based on biocomputational prediction of ncRNA candidates within entire genomes of model organisms. Alternatively, direct biochemical isolation of expressed ncRNAs from cells, tissues or entire organisms has been shown to be a powerful approach to identify ncRNAs both at the level of individual molecules and at a global scale. In this review, we will survey several such wet-lab strategies, i.e. direct sequencing of ncRNAs, shotgun cloning of small-sized ncRNAs (cDNA libraries), microarray analysis and genomic SELEX to identify novel ncRNAs, and discuss the advantages and limits of these approaches.

Gene Expression Profiling↗

Selection of RNA aptamers that are specific and high-affinity ligands of the hepatitis C virus RNA-dependent RNA polymerase.

In order to find small RNA molecules that are specific and high-affinity ligands of nonstructural 5B (NS5B) polymerase, we screened by SELEX (systematic evolution of ligands by exponential amplification) a structurally constrained RNA library with an NS5BDeltaC55 enzyme carrying a C-terminal biotinylation sequence. Among the selected clones, two aptamers appeared to be high-affinity ligands of NS5B, with apparent dissociation constants in the low nanomolar range. They share a sequence that can assume a stem-loop structure. By mutation analysis, this structure has been shown to correspond to the RNA motif responsible for the tight interaction with NS5B. The aptamers appeared to be highly specific for the hepatitis C virus (HCV) polymerase since interaction with the GB virus B (GBV-B) NS5B protein cannot be observed. This is consistent with the observation that the activity of the HCV NS5B polymerase is efficiently inhibited by the selected aptamers, while neither GBV-B nor poliovirus 3D polymerases are affected. The mechanism of inhibition of the NS5B activity turned out to be noncompetitive with respect to template RNA, suggesting that aptamers and template RNA do not bind to the same site. As a matter of fact, mutations introduced in a basic exposed surface of the thumb domain severely impaired both the binding of and activity inhibition by the RNA aptamers.

Base Sequence↗

Interactions of rotavirus VP4 spike protein with the endosomal protein Rab5 and the prenylated Rab acceptor PRA1.

Rotavirus spike protein VP4 is implicated in several important functions, such as cell attachment, penetration, hemagglutination, neutralization, virulence, and host range. It is present at the plasma membrane and colocalizes with the cytoskeleton in infected cells. We looked for cellular partners responsible for the localization of VP4 by two-hybrid screening of a monkey CV1 cell cDNA library. In the screen we isolated repeatedly three cDNAs encoding either two isoforms (a and c) of Rab5 protein or the prenylated Rab acceptor (PRA1). The small GTPase Rab5 is a molecule regulating the vesicular traffic and the motility of early endosomes along microtubules. Rab5 interacts with a large number of effectors, in particular with PRA1. Interactions of VP4 with both partners, Rab5 and PRA1, were confirmed by coimmunoprecipitation from infected- or transfected-cell lysates. Interaction of Rab5 and PRA1 was restricted to free VP4, since neither triple-layered particles nor NSP4-VP4-VP7 heterotrimeric complexes could be coprecipitated. Site-directed and deletion mutants of VP4 were used to map a VP4 domain(s) interacting with Rab5 or PRA1. Of the 10 mutants tested, 2 interacted exclusively with a single partner. In contrast, the domain extending from amino acids 560 to 722 of VP4 is essential for both interactions. These results suggest that Rab5 and PRA1 may be involved in the localization and trafficking of VP4 in infected cells.

Animals↗

RNA-catalyzed carbon-carbon bond formation.

RNA molecules with catalytic properties have been isolated by in vitro selection from combinatorial libraries. A broad range of chemical reactions can be catalyzed, and nucleic acids can accelerate bond formation between small organic substrates. The catalytic performance of nucleic acids can be enhanced by incorporation of additional functional groups. This minireview focuses on carbon-carbon bond formation accelerated by in vitro selected ribozymes.

Base Sequence↗

Creating the next generation of protein therapeutics through rational drug design.

Biopharmaceuticals, or protein drugs, have proven to be safe and effective therapies in many disease indications. However, the first generation of biopharmaceuticals has largely been limited to replicating the functions of native human proteins, or inhibiting these functions through the use of monoclonal antibodies. Recent advances in the design of biopharmaceuticals include computational approaches to manipulate protein structure, improved screening processes to synthesize and assay libraries of novel proteins, and new methods to modify proteins post-translationally and during production. Protein drug structure and function can now be optimized in the same way that small molecules are optimized via medicinal chemistry. This review addresses recent developments in the field of protein 'medicinal biology', and provides examples of how these tools are being applied to create the next generation of biopharmaceuticals possessing optimized drug properties and novel functions.

Animals↗

Strategies to identify potential therapeutic target sites in RNA.

Antisense agents are powerful tools to inhibit gene expression in a sequence-specific manner. They are used for functional genomics, as diagnostic tools and for therapeutic purposes. Three classes of antisense agents can be distinguished by their mode of action: single-stranded antisense oligodeoxynucleotides; catalytic active RNA/DNA such as ribozymes, DNA- or locked nucleic acid (LNA)zymes; and small interfering RNA molecules known as siRNA. The selection of target sites in highly structured RNA molecules is crucial for their successful application. This is a difficult task, since RNA is assembled into nucleoprotein complexes and forms stable secondary structures in vivo, rendering most of the molecule inaccessible to intermolecular base pairing with complementary nucleic acids. In this review, we discuss several selection strategies to identify potential target sites in RNA molecules. In particular, we focus on combinatorial library approaches that allow high throughput screening of sequences for the design of antisense agents.

Animals↗

A computational search for box C/D snoRNA genes in the Drosophila melanogaster genome.

MOTIVATION: In eukaryotes, the family of non-coding RNA genes includes a number of genes encoding small nucleolar RNAs (mainly C/D and H/ACA snoRNAs), which act as guides in the maturation or post-transcriptional modifications of target RNA molecules. Since in Drosophila melanogaster (Dm) only few examples of snoRNAs have been identified so far by cDNA libraries screening, integration of the molecular data with in silico identification of these types of genes could throw light on their organization in the Dm genome. RESULTS: We have performed a computational screening of the Dm genome for C/D snoRNA genes, followed by experimental validation of the putative candidates. Few of the 26 confirmed snoRNAs had been recognized by cDNA library analysis. Organization of the Dm genome was also found to be more variegated than previously suspected, with snoRNA genes nested in both the introns and exons of protein-coding genes. This finding suggests that the presence of additional mechanisms of snoRNA biogenesis based on the alternative production of overlapping mRNA/snoRNA molecules. AVAILABILITY: Additional information is available at http://www.bioinformatica.unito.it/bioinformatics/snoRNAs.

Animals↗

Enantiodivergence in small-molecule catalysis of asymmetric phosphorylation: concise total syntheses of the enantiomeric D-myo-inositol-1-phosphate and D-myo-inositol-3-phosphate.

Peptide-based catalysts have been found that catalyze the enantiodivergent phosphorylation of a meso myo-inositol-derived triol (1). The sequential screening of random peptide libraries, followed by the evaluation of a focused library, led to the identification of two peptides (2 and 24) that are complementary in producing enantiomeric D-myo-inositol-1-phosphate and D-myo-inositol-3-phosphate derivatives. The catalysts were then used to complete efficient total syntheses of both D-I-1P and D-I-3P in optically pure form. Additional information is gleaned from relative rate experiments that unambiguously show the catalysts to afford enantioselection through rate accelerative pathways with respect to simple achiral alkylimidazole catalysts. Furthermore, solvent effect studies show that the two enantiodivergent catalysts exhibit different tolerances of polar media. The systematic discovery of site-selective catalysts establishes a basis for future studies of chiral catalysts that differentiate unique functional groups in polyfunctional molecules.

Catalysis↗

DeepMASS v.2: An enhanced deep learning platform for large-scale discovery and structural annotation of unknown plant metabolites.

Determining the structures of unknown metabolites remains a fundamental bottleneck in plant metabolomics, as the vast chemical diversity of plant secondary metabolites far exceeds the coverage of existing spectral libraries. Here, we present DeepMASS v.2, a substantially enhanced platform for annotating unknown metabolites from liquid chromatography-tandem mass spectrometry data, designed to address this challenge at scale. DeepMASS v.2 leverages a semantic spectral representation model trained on millions of spectra from GNPS, NIST, and in-house resources. By integrating Spec2Vec-based embeddings with HNSW (hierarchical navigable small world) graph retrieval and a unified chemical space defined by molecular fingerprints, DeepMASS v.2 identifies structurally related neighbors of unknown spectra and ranks candidate structures according to their proximity to the predicted structural neighborhoods within chemical space. Benchmarking against Critical Assessment of Small Molecule Identification datasets and a curated natural product collection demonstrated that DeepMASS v.2 outperforms state-of-the-art in silico annotation tools, including SIRIUS, CFM-ID, MetFrag, and MS-Finder. Importantly, DeepMASS v.2 maintains strong performance for metabolites absent from spectral libraries, highlighting its capacity to annotate genuinely unknown compounds. Application of DeepMASS v.2 to large-scale plant metabolomics datasets demonstrated its ability to expand accessible metabolome coverage. Implemented as an intuitive web platform, DeepMASS v.2 provides the community with a scalable, interpretable, and high-throughput solution for structural annotation, enabling more comprehensive characterization of plant chemical diversity and accelerating natural product discovery in molecular plant science. The DeepMASS v.2 web server is publicly available at http://deepmass.cn.

Metabolomics↗