Harnessing HIV for therapy, basic research and biotechnology

First described about a decade ago, lentiviral vectors ('lentivectors') have emerged as potent and versatile tools of gene transfer for basic and applied research and offer exciting perspectives for the field of gene therapy. In the clinic, HIV-based vectors are showing particular promise for delivering therapeutic genes to hematopoietic stem cells (HSCs) and terminally differentiated targets in the central nervous system (CNS). Their flexible design facilitates the accommodation of sophisticated elements of control for the precise tuning of transgene expression. The delivery of small interfering RNAs (siRNAs) and genomic or cDNA libraries and the creation of transgenic animals are the most recent and exciting applications of HIV-based vectors that will help to tackle fundamental issues across wide areas of biology.     

Central nervous system drug design

A model which suggests that there is a common structural basis for the action of many different classes of CNS drugs is described. It is shown that this general model is consistent with specific models for opioid analgesic and antidepressant activity. The significance of these models is not only that they define specific spatial relationships between the structural requirements in different CNS drug classes, but also that they allow the formulation of three very simple drug design techniques which will be referred to as pruning, splicing and grafting. When combined with available structure-activity information, these techniques may provide a rational approach to the design of drugs with specified CNS activity.     

Diversity assessment.

Several themes have been highlighted recently in both conferences and publications: the availability of product-focused and pharmacophore-based methods for the analysis and design of combinatorial libraries; the power of cell-based methods for molecular similarity, diversity and library design applications; methods for 'rational' diverse subset selection (with applicability to library design); the need for specialized optimization programs for the design of combinatorial libraries that maximize the use of common reagents; and the concept of 'drug-likeness' and its importance in the design of combinatorial libraries.     

Host-guest chemistry: combinatorial receptors.

A combinatorial approach to receptor design provides an expedient method to discover the most effective host-guest complexes from within a library. Recent advances focus on generation of larger libraries, facile detection, combinatorial catalysis and the formation of dynamic receptor libraries.     

Molecular Characterization of an Ependymin Precursor from Goldfish Brain

Ependymins are thought to be implicated in fundamental processes involved in plasticity of the goldfish CNS. Gas-phase sequencing of purified ependymins beta and gamma revealed that they share the same N-terminal sequence. Each sequence displays microheterogeneities at several positions. Based on the protein sequences obtained, we constructed synthetic oligonucleotides and used them as hybridization probes for screening cDNA libraries of goldfish brain. In this article we describe the full-length sequence of a mRNA encoding a precursor of ependymins. A cleavable signal sequence characteristic of secretory proteins is located at the N-terminal end, followed directly by the ependymin sequence. Also, two potential N-glycosylation sites were detected. A computer search revealed that ependymins form a novel family of unique proteins.     

Phage-displayed antibody libraries of synthetic heavy chain complementarity determining regions

A structure-based approach was used to design libraries of synthetic heavy chain complementarity determining regions (CDRs). The CDR libraries were displayed as either monovalent or bivalent single-chain variable fragments (scFvs) with a single heavy chain variable domain scaffold and a fixed light chain variable domain. Using the structure of a parent antibody as a guide, we restricted library diversity to CDR positions with significant exposure to solvent. We introduced diversity with tailored degenerate codons that ideally only encoded for amino acids commonly observed in natural antibody CDRs. With these design principles, we reasoned that we would produce libraries of diverse solvent-exposed surfaces displayed on stable scaffolds with minimal structural perturbations. The libraries were sorted against a panel of proteins and yielded multiple unique binding clones against all six antigens tested. The bivalent library yielded numerous unique sequences, while the monovalent library yielded fewer unique clones. Selected scFvs were converted to the Fab format, and the purified Fab proteins retained high affinity for antigen. The results support the view that synthetic heavy chain diversity alone may be sufficient for the generation of high-affinity antibodies from phage-displayed libraries; thus, it may be possible to dispense with the light chain altogether, as is the case in natural camelid immunoglobulins.     

A dual fingerprint-based metric for the design of focused compound libraries and analogs

A computational metric is introduced for the design of combinatorial libraries focused on small molecules with specific activity (e.g., enzyme inhibitors). The method follows a product-based design strategy and uses combinations of two binary molecular fingerprints to create chemical diversity around selected compounds and/or core structures. In the first step, compounds are sampled that are distinct from template molecules but likely to share similar biological activity. In the second step, designed compounds are accepted if they are not too similar to each other, as assessed by calculation of fingerprint overlap. Thus, it is possible to balance molecular "similarity" and "diversity" and control the degree of chemical diversity created in the vicinity of selected template molecules. In essence, the method aims to generate diverse arrays of compounds with a high probability of having activity similar to starting molecule(s) and is therefore well suited for the design of target-focused libraries or series of analogs. As an example, the method is applied to focus libraries on known protein kinase inhibitors.     

Generation of bioactive peptides by biological libraries

Biological libraries are powerful tools for discovery of new ligands as well as for identification of cellular interaction partners. Since the first development of the first biological libraries in form of phage displays, numerous biological libraries have been developed. For the development of new ligands, the usage of synthetic oligonucleotides is the method of choice. Generation of random oligonucleotides has been refined and various strategies for random oligonucleotide design were developed. We trace the progress and design of new strategies for the generation of random oligonucleotides, and include a look at arising diversity biases. On the other hand, genomic libraries are widely employed for investigation of cellular protein-protein interactions and targeted search of proteomic binding partners. Expression of random peptides and proteins in a linear form or integrated in a scaffold can be facilitated both in vitro and in vivo. A typical in vitro system, ribosome display, provides the largest available library size. In vivo methods comprise smaller libraries, the size of which depends on their transformation efficiency. Libraries in different hosts such as phage, bacteria, yeast, insect cells, mammalian cells exhibit higher biosynthetic capabilities. The latest library systems are compared and their strengths and limitations are reviewed.     

A genetic analysis of neural progenitor differentiation

Genetic mechanisms regulating CNS progenitor function and differentiation are not well understood. We have used microarrays derived from a representational difference analysis (RDA) subtraction in a heterogeneous stem cell culture system to systematically study the gene expression patterns of CNS progenitors. This analysis identified both known and novel genes enriched in progenitor cultures. In situ hybridization in a subset of clones demonstrated that many of these genes were expressed preferentially in germinal zones, some showing distinct ventricular or subventricular zone labeling. Several genes were also enriched in hematopoietic stem cells, suggesting an overlap of gene expression in neural and hematopoietic progenitors. This combination of methods demonstrates the power of using custom microarrays derived from RDA-subtracted libraries for both gene discovery and gene expression analysis in the central nervous system.     

Computational design strategies for combinatorial libraries

Medicinal chemistry principles are being increasingly applied to the design of smaller, high purity, information-rich libraries. Recent computational advances in statistical methodology, the design of libraries to reduce ADMET problems, targeting protein families and revisiting natural products as sources of inspiration for scaffolds and reagents are all areas of progressive research.     

Exploring the chemogenomic knowledge space with annotated chemical libraries

The recent human genome initiatives have led to the discovery of a multitude of genes that are potentially associated with various pathologic conditions and, thus, have opened new horizons in drug discovery. Simultaneously, annotated chemical libraries have emerged as information-rich databases to integrate biological and chemical data. They can be useful for the discovery of new pharmaceutical leads, the validation of new biotargets and the determination of the structural basis of ligand selectivity within target families. Annotated libraries provide a strong information basis for computational design of target-directed combinatorial libraries, which are a key component of modern drug discovery. Today, the rational design of chemical libraries enhanced with chemogenomics data is a new area of progressive research.     

Structure‐based design of combinatorial mutagenesis libraries

The development of protein variants with improved properties (thermostability, binding affinity, catalytic activity, etc.) has greatly benefited from the application of high‐throughput screens evaluating large, diverse combinatorial libraries. At the same time, since only a very limited portion of sequence space can be experimentally constructed and tested, an attractive possibility is to use computational protein design to focus libraries on a productive portion of the space. We present a general‐purpose method, called “Structure‐based Optimization of Combinatorial Mutagenesis ” (SOCoM ), which can optimize arbitrarily large combinatorial mutagenesis libraries directly based on structural energies of their constituents. SOCoM chooses both positions and substitutions, employing a combinatorial optimization framework based on library‐averaged energy potentials in order to avoid explicitly modeling every variant in every possible library. In case study applications to green fluorescent protein, β‐lactamase, and lipase A, SOCoM optimizes relatively small, focused libraries whose variants achieve energies comparable to or better than previous library design efforts, as well as larger libraries (previously not designable by structure‐based methods) whose variants cover greater diversity while still maintaining substantially better energies than would be achieved by representative random library approaches. By allowing the creation of large‐scale combinatorial libraries based on structural calculations, SOCoM promises to increase the scope of applicability of computational protein design and improve the hit rate of discovering beneficial variants. While designs presented here focus on variant stability (predicted by total energy), SOCoM can readily incorporate other structure‐based assessments, such as the energy gap between alternative conformational or bound states.     

A role for neuronal piRNAs in the epigenetic control of memory-related synaptic plasticity

Small RNA-mediated gene regulation during development causes long-lasting changes in cellular phenotypes. To determine whether small RNAs of the adult brain can regulate memory storage, a process that requires stable and long-lasting changes in the functional state of neurons, we generated small RNA libraries from the Aplysia CNS. In these libraries, we discovered an unexpectedly abundant expression of a 28 nucleotide sized class of piRNAs in brain, which had been thought to be germline specific. These piRNAs have unique biogenesis patterns, predominant nuclear localization, and robust sensitivity to serotonin, a modulatory transmitter that is important for memory. We find that the Piwi/piRNA complex facilitates serotonin-dependent methylation of a conserved CpG island in the promoter of CREB2, the major inhibitory constraint of memory in Aplysia, leading to enhanced long-term synaptic facilitation. These findings provide a small RNA-mediated gene regulatory mechanism for establishing stable long-term changes in neurons for the persistence of memory.     

Improving the affinity of antigens for mutated antibodies by use of statistical molecular design

We demonstrate the use of statistical molecular design (SMD) in the selection of peptide libraries aimed to systematically investigate antigen-antibody binding spaces. Earlier, we derived two novel antibodies by mutating the complementarity-determining region of the anti-p24 (HIV-1) single chain Fv antibody, CB4-1 that had lost their affinity for a p24 epitope-homologous peptide by 8- and 60-fold. The present study was devoted to explore how peptide libraries can be designed under experimental design criteria for effective screening of peptide antigens. Several small peptide-antigen libraries were selected using SMD principles and their activities were evaluated by their binding to SPOT-synthesized peptide membranes and by fluorescence polarization (FP). The approach was able to reveal the most critical residues required for antigen binding, and finally to increase the binding activity by proper modifications of amino acids in the peptide antigen. A model of the active peptide binding pocket formed by the mutated scFv and the antigen was compatible with the information gained from the experimental data. Our results suggest that SMD approaches can be used to explore peptide antigen features essential for their interactions with antibodies.     

Quantitative codon optimisation of DNA libraries encoding sub-random peptides: design and characterisation of a novel library encoding transmembrane domain peptides

Codons for amino acids sharing similar chemical properties seem to cluster on the genetic codon table. Such a geographical distribution of the codons was exploited to create chemically synthesised DNA that encodes peptide libraries containing only a subset of the 20 natural amino acids. The frequency of each amino acid in the subset was further optimised by quantitatively manipulating the ratio of the four phosphoamidites during chemical synthesis of the libraries. Peptides encoded by such libraries show a reduced complexity and could be enriched in peptides of a desired property, which are thus more suitable when screening for functional peptides. Proof of concept for the codon-biased design of peptide libraries was shown by design, synthesis, and characterisation of a transmembrane peptide library that contains >80% transmembrane peptides, representing a 160-fold enrichment compared with a fully randomised library.     

Design of compound libraries based on natural product scaffolds and protein structure similarity clustering (PSSC)

Recent advances in structural biology, bioinformatics and combinatorial chemistry have significantly impacted the discovery of small molecules that modulate protein functions. Natural products which have evolved to bind to proteins may serve as biologically validated starting points for the design of focused libraries that might provide protein ligands with enhanced quality and probability. The combined application of natural product derived scaffolds with a new approach that clusters proteins according to structural similarity of their ligand sensing cores provides a new principle for the design and synthesis of such libraries. This article discusses recent advances in the synthesis of natural product inspired compound collections and the application of protein structure similarity clustering for the development of such libraries.     

High-affinity binders selected from designed ankyrin repeat protein libraries

We report here the evolution of ankyrin repeat (AR) proteins in vitro for specific, high-affinity target binding. Using a consensus design strategy, we generated combinatorial libraries of AR proteins of varying repeat numbers with diversified binding surfaces. Libraries of two and three repeats, flanked by 'capping repeats,' were used in ribosome-display selections against maltose binding protein (MBP) and two eukaryotic kinases. We rapidly enriched target-specific binders with affinities in the low nanomolar range and determined the crystal structure of one of the selected AR proteins in complex with MBP at 2.3 A resolution. The interaction relies on the randomized positions of the designed AR protein and is comparable to natural, heterodimeric protein-protein interactions. Thus, our AR protein libraries are valuable sources for binding molecules and, because of the very favorable biophysical properties of the designed AR proteins, an attractive alternative to antibody libraries.     

Quantitation and diversity analysis of ruminal methanogenic populations in response to the antimethanogenic compound bromochloromethane

Methyl coenzyme-M reductase A (mcrA) clone libraries were generated from microbial DNA extracted from the rumen of cattle fed a roughage diet with and without supplementation of the antimethanogenic compound bromochloromethane. Bromochloromethane reduced total methane emissions by c. 30%, with a resultant increase in propionate and branched chain fatty acids. The mcrA clone libraries revealed that Methanobrevibacter spp. were the dominant species identified. A decrease in the incidence of Methanobrevibacter spp. from the clone library generated from bromochloromethane treatment was observed. In addition, a more diverse methanogenic population with representatives from Methanococcales, Methanomicrobiales and Methanosacinales orders was observed for the bromochloromethane library. Sequence data generated from these libraries aided in the design of an mcrA-targeted quantitative PCR (qPCR) assay. The reduction in methane production by bromochloromethane was associated with an average decrease of 34% in the number of methanogenic Archaea when monitored with this qPCR assay. Dissociation curve analysis of mcrA amplicons showed a clear difference in melting temperatures for Methanobrevibacter spp. (80-82 degrees C) and all other methanongens (84-86 degrees C). A decrease in the intensity of the Methanobrevibacter spp. specific peak and an increase for the other peak in the bromochloromethane-treated animals corresponded with the changes within the clone libraries.     

Methods for mapping protease specificity

The study of protease specificity provides information on active-site structure and function, protein-protein interaction, regulation of intracellular and extracellular pathways, and evolution of protease and substrate genes. Peptide libraries that include fluorogenic and binding tags are often generated by solid-phase synthesis. Even larger explorations of cleavage site preferences employ positional scanning libraries or phage display. Microarrays enable presentation of individual peptides to proteases, DNA sequences for capture of peptide nucleic acid encoded peptides, or nanodroplets containing soluble peptide sequences. These new methods continue to inform the design of chemical inhibitors and the identification of substrates of proteases.