Analysis of colorectal cancer by comparative genomic hybridization: evidence for induction of the metastatic phenotype by loss of tumor suppressor genes

A method is described for measuring the diversity of combinatorial oligonucleotide libraries that entails extrapolating the base composition of a co-synthesized model library (dNC, N = A, C, G, T) to that of a multibase library template. The base composition of dNC was measured by HPLC. The ability of dNC to predict the base composition of a multibase library template was corroborated by measuring the composition of a 12 base combinatorial library. The base composition of the 12 base library was determined by several template dependent incorporation assays: measurement of restriction fragment specific activities from polymerase incorporation/restriction enzyme digests, template directed radionucleotide primer extension and quantitative dideoxynucleotide sequencing. Additionally, a convention for describing oligomeric combinatorial library (OCL) diversity is proposed. The convention uses a quantity termed the diversity quotient (Qd) to describe library breadth and the mole fraction of the least represented monomeric unit of the OCL to calculate minimum library quantity requirements. Similar methods/conventions could presumably be developed/adopted for non-nucleic acid libraries.     

Can we learn to distinguish between "drug-like" and "nondrug-like" molecules?

We have used a Bayesian neural network to distinguish between drugs and nondrugs. For this purpose, the CMC acts as a surrogate for drug-like molecules while the ACD is a surrogate for nondrug-like molecules. This task is performed by using two different set of 1D and 2D parameters. The 1D parameters contain information about the entire molecule like the molecular weight and the the 2D parameters contain information about specific functional groups within the molecule. Our best results predict correctly on over 90% of the compounds in the CMC while classifying about 10% of the molecules in the ACD as drug-like. Excellent generalization ability is shown by the models in that roughly 80% of the molecules in the MDDR are classified as drug-like. We propose to use the models to design combinatorial libraries. In a computer experiment on generating a drug-like library of size 100 from a set of 10 000 molecules we obtain at least a 3 or 4 order of magnitude improvement over random methods. The neighborhoods defined by our models are not similar to the ones generated by standard Tanimoto similarity calculations. Therefore, new and different information is being generated by our models, and so it can supplement standard diversity approaches to library design.     

A defect in beta-galactosidase of B lymphocytes in the osteopetrotic (op/op) mouse

Tweezer-like receptor molecules have proven their potential for molecular recognition on several occasions. We decided to make twofold use of this receptor design: firstly to learn whether simple molecular forceps consisting of two peptide chains linked by a spacer are able to selectively bind to small peptides, and secondly to investigate the importance of structural preorganization for the characteristics of the receptors. We prepared two encoded combinatorial libraries based on this design, featuring two combinatorial tripeptide chains held by different scaffolds: the use of chenodeoxycholic acid as spacer provided a rigid scaffold for the forceps, whereas linking the peptide chains by a pentamethylene chain yielded a very flexible forceps structure. Molecules from the cholic acid library recognize and discriminate various enkephalins with micromolar affinities. Molecules from the flexible library show distinct interactions with the enkephalins as well, but the specificity and affinity are clearly diminished. Thus, although the interactions of molecular forceps with peptides are not crucially dependent on structural preorganization, receptors with a rigid design are clearly superior to flexible molecular forceps.     

Tumor protease-activated, pore-forming toxins from a combinatorial library

We describe a library of two-chain molecular complementation mutants of staphylococcal alpha-hemolysin that features a combinatorial cassette encoding thousands of protease recognition sites in the central pore-forming domain. The cassette is flanked by a peptide extension that inactivates the protein. We screened the library to identify alpha-hemolysins that are highly susceptible to activation by cathepsin B, a protease that is secreted by certain metastatic tumor cells. Toxins obtained by this procedure should be useful for the permeabilization of malignant cells thereby leading directly to cell death or permitting destruction of the cells with drugs that are normally membrane impermeant.     

Prejudice toward fat people: the development and validation of the antifat attitudes test

BACKGROUND: The identification of potent small molecule ligands to receptors and enzymes is one of the major goals of chemical and biological research. Two powerful new tools that can be used in these efforts are combinatorial chemistry and structure-based design. Here we address how to join these methods in a design protocol that produces libraries of compounds that are directed against specific macromolecular targets. The aspartyl class of proteases, which is involved in numerous biological processes, was chosen to demonstrate this effective procedure. RESULTS: Using cathepsin D, a prototypical aspartyl protease, a number of low nanomolar inhibitors were rapidly identified. Although cathepsin D is implicated in a number of therapeutically relevant processes, potent nonpeptide inhibitors have not been reported previously. The libraries, synthesized on solid support, displayed nonpeptide functionality about the (hydroxyethyl)amine isostere. The (hydroxyethyl)amine isostere, which targets the aspartyl protease class, is a stable mimetic of the tetrahedral intermediate of amide hydrolysis. Structure-based design, using the crystal structure of cathepsin D complexed with the peptide-based natural product pepstatin, was used to select the building blocks for the library synthesis. The library yielded a 'hit rate' of 6-7% at 1 microM inhibitor concentrations, with the most potent compound having a Ki value of 73 nM. More potent, nonpeptide inhibitors (Ki = 9-15 nM) of cathepsin D were rapidly identified by synthesizing and screening a small second generation library. CONCLUSIONS: The success of these studies clearly demonstrates the power of coupling the complementary methods of combinatorial chemistry and structure-based design. We anticipate that the general approaches described here will be successful for other members of the aspartyl protease class and for many other enzyme classes.     

Iterative optimization of high-affinity proteases inhibitors using phage display. 1. Plasmin

We generated a series of libraries having variants of the first Kunitz domain of human lipoprotein-associated coagulation inhibitor (LACI-D1, also known as tissue-factor pathway inhibitor-I) displayed on bacteriophage M13 as pIII-fusions. We varied LACI-DI iteratively in two regions: the P1 region (positions 10-21) and the "second loop", (positions 31-39), which together form one end of the domain. Display-phage library Lib#1 allows 31 200 amino-acid sequences in P1 region (residues 13, 16-19). Preliminary, we screened Lib#1 against human plasmin (PLA, EC 3.4.21.7) immobolized on agarose to enrich for phage displaying variants with PLA affinity. We introduced a 1600-fold increase in second-loop diversity (residues 31, 32, 34, 39) into the population of selectants from Lib#1, yielding Lib#2. Lib#2 (allowing approximately 50 million amino-acid sequences) was screened against PLA-agarose to isolate highest affinity binders. Protein EPI-P211, derived from the best isolate of Lib#2, inhibits PLA with Ki = 2 nM (at least 500-fold better than LACI-D1) and with high specificity. We used amino-acid sequences of PLA-binding selectants to design a PLA-biased library (Lib#3) which we screened against PLA. The protein EPI-P302 (derived from the best binder obtained from Lib#3) has Ki for PLA inhibition of 87 pM, which is 25-fold better than the first-round best binder and > or = 12 500-fold better than LACI-D1. EPI-P302 also shows very high specificity for PLA vs other human proteases and is resistant to inactivation by oxidants and extremes of temperature or pH. Thus, one can use selectants from one library to design target-tailored combinatorial libraries and obtain quite stable, highly specific, very high-affinity binding molecules while maintaining an essentially human framework.     

Affinity-based screening of combinatorial libraries using automated, serial-column chromatography

We have developed an automated serial chromatographic technique for screening a library of compounds based upon their relative affinity for a target molecule. A "target" column containing the immobilized target molecule is set in tandem with a reversed-phase column. A combinatorial peptide library is injected onto the target column. The target-bound peptides are eluted from the first column and transferred automatically to the reversed-phase column. The target-specific peptide peaks from the reversed-phase column are identified and sequenced. Using a monoclonal antibody (3E-7) against beta-endorphin as a target, we selected a single peptide with sequence YGGFL from approximately 5800 peptides present in a combinatorial library. We demonstrated the applicability of the technology towards selection of peptides with predetermined affinity for bacterial lipopolysaccharide (LPS, endotoxin). We expect that this technology will have broad applications for high throughout screening of chemical libraries or natural product extracts.     

Design considerations and computer modeling related to the development of molecular scaffolds and peptide mimetics for combinatorial chemistry

A critical issue in drug discovery utilizing combinatorial chemistry as part of the discovery process is the choice of scaffolds to be used for a proper presentation, in a three-dimensional space, of the critical elements of structure necessary for molecular recognition (binding) and information transfer (agonist/ antagonist). In the case of polypeptide ligands, considerations related to the properties of various backbone structures (alpha-helix, beta-sheets, etc.; phi, psi space) and those related to three-dimensional presentation of side-chain moieties (topography; chi (chi) space) must be addressed, although they often present quite different elements in the molecular recognition puzzle. We have addressed aspects of this problem by examining the three-dimensional structures of chemically different scaffolds at various distances from the scaffold to evaluate their putative diversity. We find that chemically diverse scaffolds can readily become topographically similar. We suggest a topographical approach involving design in chi space to deal with these problems.     

De novo protein design: fully automated sequence selection

The first fully automated design and experimental validation of a novel sequence for an entire protein is described. A computational design algorithm based on physical chemical potential functions and stereochemical constraints was used to screen a combinatorial library of 1.9 x 10(27) possible amino acid sequences for compatibility with the design target, a betabetaalpha protein motif based on the polypeptide backbone structure of a zinc finger domain. A BLAST search shows that the designed sequence, full sequence design 1 (FSD-1), has very low identity to any known protein sequence. The solution structure of FSD-1 was solved by nuclear magnetic resonance spectroscopy and indicates that FSD-1 forms a compact well-ordered structure, which is in excellent agreement with the design target structure. This result demonstrates that computational methods can perform the immense combinatorial search required for protein design, and it suggests that an unbiased and quantitative algorithm can be used in various structural contexts.     

Nonspecific protease-catalyzed hydrolysis/synthesis of a mixture of peptides: product diversity and ligand amplification by a molecular trap

We sought to develop a peptide library in solution and dynamically screen this library for peptides that would bind to macromolecules of interest. Peptide diversity was achieved in an initial stock solution of peptides by using proteases under conditions in which both hydrolysis and synthesis occurred. As an example, a simple reaction containing YGG, FL and thermolysin resulted in the synthesis of YGGFL as well as many other undefined products. When low molecular weight products of a reaction containing VA, AL, and thermolysin were subsequently exposed to dipeptidase, 7 out of 9 potential dipeptides were observed. Incubation of protease with an hydrolysate of albumin and a radiolabeled peptide resulted in the radiolabel participating in reactions other than simple hydrolysis and, after 24 h, the specific activity of radiolabel was shown by high performance liquid chromatography to disperse to a level that would be necessary in the event of maximum theoretical diversity. When a binding macromolecule was exposed to this system, ligand production was amplified relative to reactions run in the absence of binding macromolecule. This protease-based peptide scrambling and binding system was utilized for the discovery of novel peptides that bind to fibrinogen.     

Creation of libraries with long ORFs by polymerization of a microgene

We describe a novel method for constructing pools of DNA sequences that encode large proteins with molecular diversity. Sets of primer pairs that form 8 to 10 complementary base pairs in the 3' region and have double mismatch pairs at their 3'-OH ends were designed so that primer dimers recreated short stretches of DNA (microgenes) devoid of termination codons. Cycles of denaturation and elongation reactions with a pair of primers, four dNTPs, and 3'-5' exo+ thermostable DNA polymerase gave head-to-tail polymers of the primer dimer unit (microgene) whose sizes exceeded 12 kb. No template was required in this reaction, but mismatched nucleotides at 3'-OH ends of the primers were critical for efficient polymerization. At end-joining junctions of a microgene, nucleotide insertions and deletions randomly occurred, resulting in combinatorial libraries of three reading frames from a single microgene. Further molecular diversity could be incorporated by using a mixture of primers. The resultant polymers have long ORFs whose products have a repetitious nature that could facilitate the formation of higher structures of translated products. Thus, microgene polymers may be used as a source of libraries for in vitro protein evolution experiments. Ligation of a microgene is apparently related to the nonhomologous recombination of double-strand breaks in DNA that has been shown to be catalyzed by DNA polymerases. We named this polymerization reaction the "microgene polymerization reaction."     

Deconvolution of combinatorial libraries for Drug discovery: theoretical comparison of pooling strategies

Synthesis and testing of mixtures of compounds in a combinatorial library allow much greater throughput than synthesis and testing of individual compounds. When mixtures of compounds are screened, however, the possibility exists that the most active compound will not be identified. The specific strategies employed for pooling and deconvolution will affect the likelihood of success. We have used a nucleic acid hybridization example to develop a theoretical model of library deconvolution for a library of more than 250,000 compounds. This model was used to compare various strategies for pooling and deconvolution. Simulations were performed in the absence and presence of experimental error. We found iterative deconvolution to be most reliable when active molecules were assigned to the same subset in early rounds. Reliability was reduced only slightly when active molecules were assigned randomly to all subsets. Iterative deconvolution with as many as 65,536 compounds per subset did not drastically reduce the reliability compared to one-at-a-time testing. Pooling strategies compared using this theoretical model are compared experimentally in an accompanying paper.     

Generation of rabbit monoclonal antibody fragments from a combinatorial phage display library and their production in the yeast Pichia pastoris

We have applied the combinatorial immunoglobulin library and phage display technologies to generate monoclonal rabbit single-chain Fv (scFv) antibody fragments specific for recombinant human leukemia inhibitory factor (rhLIF). The B cell immunoglobulin repertoire of an immunized rabbit was immortalized by the combinatorial cloning of the rearranged variable domains of light (VL) and heavy (VH) chains. Affinity selection of the library displaying the rabbit antibody domains on the phage surface resulted in the isolation of phage encoding scFv antibodies which specifically bind to the antigen. We utilized the methylotrophic yeast Pichia pastoris for high level secretion of soluble and functional scFv antibody fragment. More than 100 mg/L of pure and functional rabbit anti-rhLIF scFv antibody was obtained directly from the P. pastoris culture supernatant by one-step affinity chromatography.     

Novel characteristics of a myosin isolated from mammalian retinal pigment epithelial and endothelial cells

We have isolated a novel, high Mr protein from human retinal pigment epithelial cells and endothelial cells by affinity chromatography on Sepharose 4B. Two polypeptides are present on SDS-gels of the 8 M urea eluent with apparent molecular mass of approximately 210 and 47 kDa. In the absence of dithiothreitol, the two polypeptides migrate as one protein band with an apparent molecular mass of approximately 550 kDa. "Piglet," as this molecule is tentatively named, is present in retinal pigment epithelial and endothelial cells of several species, but could not be detected in the nonepithelial cells we examined. Immunofluorescent localization using an antibody to the 210-kDa polypeptide revealed a filamentous network in the cytoplasm of cultured cells. This antibody was used to identify a cDNA for piglet in a bovine aortic endothelial cell expression library. Sequence data indicate a high degree of identity with non-muscle myosin II heavy chain. We subsequently found that piglet had an actin-activated ATPase activity, colocalized with actin in cells, and reacted on Western blots with a pan-non-muscle myosin II heavy chain antiserum. The protein was also recognized by antibodies specific for myosin heavy chain isoform A, but did not react with anti-isoform B antibodies. Although piglet has several features in common with known forms of non-muscle myosin II, the distinctly unconventional features it displays suggest that it is a novel myosin.     

Combinatorial chemistry in insects: a library of defensive macrocyclic polyamines

The pupal defensive secretion of the coccinellid beetle Epilachna borealis is composed principally of a combinatorial library of macrocyclic polyamines. These compounds constitute a previously unrecognized family of natural products, characterized by extremely large-ring lactonic structures derived from a small set of (2-hydroxyethylamino)alkanoic acids. The combinatorial assembly of these simple building blocks generates a high degree of structural diversity, which is further increased by slow, spontaneous intramolecular rearrangement of the macrocycles.     

Identification of GIYWHHY as a novel peptide substrate for human p60c-src protein tyrosine kinase

We have recently determined that -Ile-Tyr- were the two critical residues as a peptide substrate for p60c-src protein tyrosine kinase (Lou, Q. et al., Lett. Peptide Sci., 1995, 2, 289). Here, we report on the design and synthesis of a secondary 'one-bead, one-compound' combinatorial peptide library based on this dipeptide motif (XIYXXXX, where X = all 19 eukaryotic amino acids except for cysteine). This secondary library was screened for its ability to be phosphorylated by p60c-src PTK using [gamma 32P]ATP as a tracer. Five of the strongest [32P]-labeled peptide-beads were identified and microsequenced: GIYWHHY, KIYDDYE, EIYEENG, EIYEEYE, and YIYEEED. A solid-phase phosphorylation assay was used to evaluate the structure-activity relationship of GIYWHHY. It was determined that Ile2, Tyr3, His5, and His6 were crucial for its activity as a substrate.     

Genesis of residency programs in dental public health: reflections of the first dental public health resident?

BACKGROUND: Combinatorial methods based on binary patterning of polar and nonpolar residues have been used to generate large libraries of de novo alpha-helical proteins. Within such libraries, the ability to find structures that resemble natural proteins requires a rapid method to sort through large collections of proteins and detect those possessing 'native-like' features. The current paper presents such a method and applies it to an initial collection of de novo proteins. RESULTS: We present a method to identify proteins with native-like properties from libraries of de novo sequences expressed in vivo. A novel 'rapid prep' freeze/thaw procedure was used to prepare samples; chromatographic purification was not required. The semi-crude samples were analyzed for native-like features by one-dimensional 1H NMR spectroscopy. Using this method, we demonstrate that native-like features can readily be observed for several proteins among a collection of sequences designed by binary patterning of polar and nonpolar amino acids. CONCLUSIONS: Native-like properties can be detected using a method that requires neither isotopic enrichment nor chromatographic purification. The method is inexpensive, rapid, and suitable for parallel processing. It can therefore be employed to screen for native-like properties among large collections of de novo sequences. Using this method, we demonstrate that although the binary code strategy does not explicitly design tertiary packing, it can nonetheless generate proteins that possess native-like properties. The use of combinatorial methods to produce large collections of proteins coupled with the availability of a rapid assay for detecting native-like properties will facilitate the design and isolation of novel proteins with desirable properties.     

Thrombosis and cardiovascular disease

The use of combinatorial chemistry for the generation of new lead molecules is now a well established strategy in the drug discovery process. Central to the use of combinatorial chemistry is the design and availability of high quality building blocks which are likely to afford hits from the libraries that they generate. Herein we describe "RECAP" (Retrosynthetic Combinatorial Analysis Procedure), a new computational technique designed to address this building block issue. RECAP electronically fragments molecules based on chemical knowledge. When applied to databases of biologically active molecules this allows the identification of building block fragments rich in biologically recognized elements and privileged motifs and structures. This allows the design of building blocks and the synthesis of libraries rich in biological motifs. Application of RECAP to the Derwent World Drug Index (WDI) and the molecular fragments/ building blocks that this generates are discussed. We also describe a WDI fragment knowledge base which we have built which stores the drug motifs and mention its potential application in structure based drug design programs.