Rapid identification of compounds with enhanced antimicrobial activity by using conformationally defined combinatorial libraries.
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ABSTRACT: We have combined the strength of our synthetic combinatorial library approach for the rapid identification of highly active compounds with prior knowledge of the relationship between the antimicrobial activities of individual peptides with specific induced conformations in order to identify new peptides with enhanced activity relative to a starting known antimicrobial sequence. In the current study, conformationally defined combinatorial libraries were generated based on an 18-mer antimicrobial peptide known to be induced into an alpha-helical conformation in a lipidic environment. Not only were novel sequences readily identified with 10-fold increases in activity, but detailed information about the structure-activity relationships of the peptides studied was also obtained during the deconvolution process. By using circular dichroism spectroscopy it was found that the individual 18-mer peptides could be induced into alpha-helical conformations on interaction with the cell lipid layer and/or sialic acids, which could result in bacterial cell lysis due to perturbation of the lipid packing of the cell wall.
Project description:Combinatorial solid-phase synthesis of bis-heterocyclic compounds, characterized by the presence of two heterocyclic cores connected by a spacer of variable length/structure, provided structurally heterogeneous libraries with skeletal diversity. Both heterocyclic rings were assembled on resin in a combinatorial fashion.
Project description:Several approaches have been developed for screening combinatorial libraries or collections of synthetic molecules for agonists or antagonists of protein function, each with its own advantages and limitations. In this report, we describe an experimental platform that seamlessly couples massively parallel bead-based screening of one-bead one-compound combinatorial libraries with microarray-based quantitative comparisons of the binding affinities of the many hits isolated from the bead library. Combined with other technical improvements, this technique allows the rapid identification of the best protein ligands in combinatorial libraries containing millions of compounds without the need for labor-intensive resynthesis of the hits.
Project description:We present a general approach to describe the structure-activity relationships (SAR) of combinatorial data sets with activity for two biological endpoints with emphasis on the rapid identification of substitutions that have a large impact on activity and selectivity. The approach uses dual-activity difference (DAD) maps that represent a visual and quantitative analysis of all pairwise comparisons of one, two, or more substitutions around a molecular template. Scanning the SAR of data sets using DAD maps allows the visual and quantitative identification of activity switches defined as specific substitutions that have an opposite effect on the activity of the compounds against two targets. The approach also rapidly identifies single- and double-target R-cliffs, i.e., compounds where a single or double substitution around the central scaffold dramatically modifies the activity for one or two targets, respectively. The approach introduced in this report can be applied to any analogue series with two biological activity endpoints. To illustrate the approach, we discuss the SAR of 106 pyrrolidine bis-diketopiperazines tested against two formylpeptide receptors obtained from positional scanning deconvolution methods of mixture-based libraries.
Project description:Generating combinatorial libraries of specific sets of mutations are essential for addressing protein engineering questions involving contingency in molecular evolution, epistatic relationships between mutations, as well as functional antibody and enzyme engineering. Here we present optimization of a combinatorial mutagenesis method involving template-based nicking mutagenesis, which allows for the generation of libraries with >99% coverage for tens of thousands of user-defined variants. The non-optimized method resulted in low library coverage, which could be rationalized by a model of oligonucleotide annealing bias resulting from the nucleotide mismatch free-energy difference between mutagenic oligo and template. The optimized method mitigated this thermodynamic bias using longer primer sets and faster annealing conditions. Our updated method, applied to two antibody fragments, delivered between 99.0% (32451/32768 library members) to >99.9% coverage (32757/32768) for our desired libraries in 2 days and at an approximate 140-fold sequencing depth of coverage.
Project description:All-oxide-based photovoltaics (PVs) encompass the potential for extremely low cost solar cells, provided they can obtain an order of magnitude improvement in their power conversion efficiencies. To achieve this goal, we perform a combinatorial materials study of metal oxide based light absorbers, charge transporters, junctions between them, and PV devices. Here we report the development of a combinatorial internal quantum efficiency (IQE) method. IQE measures the efficiency associated with the charge separation and collection processes, and thus is a proxy for PV activity of materials once placed into devices, discarding optical properties that cause uncontrolled light harvesting. The IQE is supported by high-throughput techniques for bandgap fitting, composition analysis, and thickness mapping, which are also crucial parameters for the combinatorial investigation cycle of photovoltaics. As a model system we use a library of 169 solar cells with a varying thickness of sprayed titanium dioxide (TiO2) as the window layer, and covarying thickness and composition of binary compounds of copper oxides (Cu-O) as the light absorber, fabricated by Pulsed Laser Deposition (PLD). The analysis on the combinatorial devices shows the correlation between compositions and bandgap, and their effect on PV activity within several device configurations. The analysis suggests that the presence of Cu4O3 plays a significant role in the PV activity of binary Cu-O compounds.
Project description:A unique type of combinatorial protein libraries has been constructed. These libraries are based on the pre-B cell receptor (pre-BCR). The pre-BCR is a protein that is produced during normal development of the antibody repertoire. Unlike that of canonical antibodies, the pre-BCR subunit is a trimer that is composed of an antibody heavy chain paired with two surrogate light chain (SLC) components. Combinatorial libraries based on these pre-BCR proteins in which diverse heavy chains are paired with a fixed SLC were expressed in mammalian, Escherichia coli, and phagemid systems. These libraries contain members that have nanomolar affinity for antigen. We term this type of antigen-binding protein a "surrobody" to distinguish it from the canonical antibody molecule.
Project description:Clinically approved inhibitors of the HIV-1 protease function via a competitive mechanism. A particular vulnerability of competitive inhibitors is their sensitivity to increases in substrate concentration, as may occur during virion assembly, budding and processing into a mature infectious viral particle. Advances in chemical synthesis have led to the development of new high-diversity chemical libraries using rapid in-solution syntheses. These libraries have been shown previously to be effective at disrupting protein-protein and protein-nucleic acid interfaces. We have screened 44000 compounds from such a library to identify inhibitors of the HIV-1 protease. One compound was identified that inhibits wild-type protease, as well as a drug-resistant protease with six mutations. Moreover, analysis of this compound suggests an allosteric non-competitive mechanism of inhibition and may represent a starting point for an additional strategy for anti-retroviral therapy.
Project description:There is great interest in the development of probe molecules and drug leads that would bind tightly and selectively to protein surfaces that are difficult to target with traditional molecules, such as those involved in protein-protein interactions. The currently available evidence suggests that this will require molecules that are larger and have quite different chemical properties than typical Lipinski-compliant molecules that target enzyme active sites. We describe here efforts to develop vast libraries of conformationally constrained oligomers as a potentially rich source of these molecules.
Project description:A systematic approach to the discovery of conformation-specific antibodies or those that recognize activation-induced neoepitopes in signaling molecules and enzymes will be a powerful tool in developing antibodies for basic science and therapy. Here, we report the isolation of antibody antagonists that preferentially bind activated integrin Mac-1 (alpha(M)beta(2)) and are potent in blocking neutrophil adhesion and migration. A novel strategy was developed for this task, consisting of yeast surface display of Mac-1 inserted (I) domain library, directed evolution to isolate active mutants of the I domain, and screening of phage display of human antibody library against the active I domain in yeast. Enriched antibody library was then introduced into yeast surface two-hybrid system for final quantitative selection of antibodies from monomeric antigen-antibody interaction. This led to highly efficient isolation of intermediate to high affinity antibodies, which preferentially reacted with the active I domain, antagonized the I domain binding to intercellular adhesion molecule (ICAM)-1, complement C3 fragment iC3b, and fibronectin, and potently inhibited neutrophil migration on fibrinogen. The strategy demonstrated herein can be broadly applicable to developing antibodies against modular domains that switch between inactive and active conformations, particularly toward the discovery of antibody antagonists in therapeutic and diagnostic applications.
Project description:In order to increase the hit rate of discovering diverse, beneficial protein variants via high-throughput screening, we have developed a computational method to optimize combinatorial mutagenesis libraries for overall enrichment in two distinct properties of interest. Given scoring functions for evaluating individual variants, POCoM (Pareto Optimal Combinatorial Mutagenesis) scores entire libraries in terms of averages over their constituent members, and designs optimal libraries as sets of mutations whose combinations make the best trade-offs between average scores. This represents the first general-purpose method to directly design combinatorial libraries for multiple objectives characterizing their constituent members. Despite being rigorous in mapping out the Pareto frontier, it is also very fast even for very large libraries (e.g., designing 30 mutation, billion-member libraries in only hours). We here instantiate POCoM with scores based on a target's protein structure and its homologs' sequences, enabling the design of libraries containing variants balancing these two important yet quite different types of information. We demonstrate POCoM's generality and power in case study applications to green fluorescent protein, cytochrome P450, and β-lactamase. Analysis of the POCoM library designs provides insights into the trade-offs between structure- and sequence-based scores, as well as the impacts of experimental constraints on library designs. POCoM libraries incorporate mutations that have previously been found favorable experimentally, while diversifying the contexts in which these mutations are situated and maintaining overall variant quality.