Diverse structural solutions to catalysis in a family of antibodies

BACKGROUND: Small organic molecules coupled to a carrier protein elicit an antibody response on immunisation. The diversity of this response has been found to be very narrow in several cases. Some antibodies also catalyse chemical reactions. Such catalytic antibodies are usually identified among those that bind tightly to an analogue of the transition state (TSA) of the relevant reaction; therefore, catalytic antibodies are also thought to have restricted diversity. To further characterise this diversity, we investigated the structure and biochemistry of the catalytic antibody 7C8, one of the most efficient of those which enhance the hydrolysis of chloramphenicol esters, and compared it to the other catalytic antibodies elicited in the same immunisation. RESULTS: The structure of a complex of the 7C8 antibody Fab fragment with the hapten TSA used to elicit it was determined at 2.2 A resolution. Structural comparison with another catalytic antibody (6D9) raised against the same hapten revealed that the two antibodies use different binding modes. Furthermore, whereas 6D9 catalyses hydrolysis solely by transition-state stabilisation, data on 7C8 show that the two antibodies use mechanisms where the catalytic residue, substrate specificity and rate-limiting step differ. CONCLUSIONS: Our results demonstrate that substantial diversity may be present among antibodies catalysing the same reaction. Therefore, some of these antibodies represent different starting points for mutagenesis aimed at boosting their activity. This increases the chance of obtaining more proficient catalysts and provides opportunities for tailoring catalysts with different specificities.     

Turnover-based in vitro selection and evolution of biocatalysts from a fully synthetic antibody library

This report describes the selection of highly efficient antibody catalysts by combining chemical selection from a synthetic library with directed in vitro protein evolution. Evolution started from a naive antibody library displayed on phage made from fully synthetic, antibody-encoding genes (the Human Combinatorial Antibody Library; HuCAL-scFv). HuCAL-scFv was screened by direct selection for catalytic antibodies exhibiting phosphatase turnover. The substrate used was an aryl phosphate, which is spontaneously transformed into an electrophilic trapping reagent after cleavage. Chemical selection identified an efficient biocatalyst that then served as a template for error-prone PCR (epPCR) to generate randomized repertoires that were subjected to further selection cycles. The resulting superior catalysts displayed cumulative mutations throughout the protein sequence; the ten-fold improvement of their catalytic proficiencies (>10(10) M(-1)) resulted from increased kcat values, thus demonstrating direct selection for turnover. The strategy described here makes the search for new catalysts independent of the immune system and the antibody framework.     

Catalytic amidolysis of amino acid p-nitroanilides using transition state analogue imprinted artificial enzymes: Cooperative effect of pyridine moiety

Enzyme-like polymer catalysts with the imprints of phosphonate transition state analogue (TSA) lined along with imidazole and pyridine moieties were synthesized using methacryloyl-l-histidine and 4-vinylpyridine as the functional monomers and phenyl-1-(N-benzyloxycarbonylamino)-2-(phenyl)ethyl phosphonate – the TSA of hydrolytic reaction as the template for the amidolysis of N-benzyloxycarbonyl-l-phenylalanine p-nitroanilide (Z-l-Phe-PNA). Polymers containing different functional groups can act together to provide catalytic activity and selectivity superior to what can be obtained from monofunctional analogues. The higher rate acceleration exhibited by the bifunctional polymer over the monofunctional polymers indicates cooperative catalysis of imidazole and pyridine moieties. The optimum catalytic competence is shown by the bifunctional polymer containing imidazole and pyridine moieties in 2:1 M ratio which may be due to alignment of the functional groups in proper H-bond distance. In addition to the non-covalent interactions like hydrogen bonding or π-stacking interactions between the functional groups of the polymer and the template, 3D-microcavities complementary to the geometry of the template are necessary for effective shape selective binding. Michaelis-Menten kinetics implies that only the catalysts with imidazole moieties act as enzyme-like catalysts and imidazole is the key catalytic function of the enzyme mimics.     

Testing Jumps via False Discovery Rate Control

Many recently developed nonparametric jump tests can be viewed as multiple hypothesis testing problems. For such multiple hypothesis tests, it is well known that controlling type I error often makes a large proportion of erroneous rejections, and such situation becomes even worse when the jump occurrence is a rare event. To obtain more reliable results, we aim to control the false discovery rate (FDR), an efficient compound error measure for erroneous rejections in multiple testing problems. We perform the test via the Barndorff-Nielsen and Shephard (BNS) test statistic, and control the FDR with the Benjamini and Hochberg (BH) procedure. We provide asymptotic results for the FDR control. From simulations, we examine relevant theoretical results and demonstrate the advantages of controlling the FDR. The hybrid approach is then applied to empirical analysis on two benchmark stock indices with high frequency data.     

Noisy splicing drives mRNA isoform diversity in human cells

While the majority of multiexonic human genes show some evidence of alternative splicing, it is unclear what fraction of observed splice forms is functionally relevant. In this study, we examine the extent of alternative splicing in human cells using deep RNA sequencing and de novo identification of splice junctions. We demonstrate the existence of a large class of low abundance isoforms, encompassing approximately 150,000 previously unannotated splice junctions in our data. Newly-identified splice sites show little evidence of evolutionary conservation, suggesting that the majority are due to erroneous splice site choice. We show that sequence motifs involved in the recognition of exons are enriched in the vicinity of unconserved splice sites. We estimate that the average intron has a splicing error rate of approximately 0.7% and show that introns in highly expressed genes are spliced more accurately, likely due to their shorter length. These results implicate noisy splicing as an important property of genome evolution.     

A genomic overview of pyridoxal-phosphate-dependent enzymes

Enzymes that use the cofactor pyridoxal phosphate (PLP) constitute a ubiquitous class of biocatalysts. Here, we analyse their variety and genomic distribution as an example of the current opportunities and challenges for the study of protein families. In many free-living prokaryotes, almost 1.5% of all genes code for PLP-dependent enzymes, but in higher eukaryotes the percentage is substantially lower, consistent with these catalysts being involved mainly in basic metabolism. Assigning the function of PLP-dependent enzymes simply on the basis of sequence criteria is not straightforward because, as a consequence of their common mechanistic features, these enzymes have intricate evolutionary relationships. Thus, many genes for PLP-dependent enzymes remain functionally unclassified, and several of them might encode undescribed catalytic activities. In addition, PLP-dependent enzymes often show catalytic promiscuity (that is, a single enzyme catalyses different reactions), implying that an organism can have more PLP-dependent activities than it has genes for PLP-dependent enzymes. This observation presumably applies to many other classes of protein-encoding genes.     

Polymer-supported chiral catalysts with positive support effects

In this paper, we discuss the rational design of polymeric catalysts and the positive effect of polymer supports on the catalytic asymmetric reactions. The attachment of chiral catalysts to soluble polymers, particularly dendritic polymers, offered a potential combination of the advantages of homogeneous and heterogeneous asymmetric catalysis.     

Prelife catalysts and replicators

Life is based on replication and evolution. But replication cannot be taken for granted. We must ask what there was prior to replication and evolution. How does evolution begin? We have proposed prelife as a generative system that produces information and diversity in the absence of replication. We model prelife as a binary soup of active monomers that form random polymers. ‘Prevolutionary’ dynamics can have mutation and selection prior to replication. Some sequences might have catalytic activity, thereby enhancing the rates of certain prelife reactions. We study the selection criteria for these prelife catalysts. Their catalytic efficiency must be above certain critical values. We find a maintenance threshold and an initiation threshold. The former is a linear function of sequence length, and the latter is an exponential function of sequence length. Therefore, it is extremely hard to select for prelife catalysts that have long sequences. We compare prelife catalysis with a simple model for replication. Assuming fast template-based elongation reactions, we can show that replicators have selection thresholds that are independent of their sequence length. Our calculation demonstrates the efficiency of replication and provides an explanation of why replication was selected over other forms of prelife catalysis.     

Single Medial Prefrontal Neurons Cope with Error

Learning from mistakes is a key feature of human behavior. However, the mechanisms underlying short-term adaptation to erroneous action are still poorly understood. One possibility relies on the modulation of attentional systems after an error. To explore this possibility, we have designed a Stroop-like visuo-motor task in monkeys that favors incorrect action. Using this task, we previously found that single neurons recorded from the anterior cingulate cortex (ACC) were closely tuned to behavioral performance and, more particularly, that the activity of most neurons was biased towards the evaluation of erroneous action. Here we describe single neurons engaged in both error detection and response alertness processing, whose activation is closely associated with the improvement of subsequent behavioral performance. Specifically, we show that the effect of a warning stimulus on neuronal firing is enhanced after an erroneous response rather than a successful one and that this outcome is correlated with an error rate decrease. Our results suggest that the anterior cingulate cortex, which exhibits this activity, serves as a powerful computational locus for rapid behavioral adaptation.     

Conformational isomerism can limit antibody catalysis

Ligand binding to enzymes and antibodies is often accompanied by protein conformational changes. Although such structural adjustments may be conducive to enzyme catalysis, much less is known about their effect on reactions promoted by engineered catalytic antibodies. Crystallographic and pre-steady state kinetic analyses of antibody 34E4, which efficiently promotes the conversion of benzisoxazoles to salicylonitriles, show that the resting catalyst adopts two interconverting active-site conformations, only one of which is competent to bind substrate. In the predominant isomer, the indole side chain of Trp(L91) occupies the binding site and blocks ligand access. Slow conformational isomerization of this residue, on the same time scale as catalytic turnover, creates a deep and narrow binding site that can accommodate substrate and promote proton transfer using Glu(H50) as a carboxylate base. Although 34E4 is among the best catalysts for the deprotonation of benzisoxazoles, its efficiency appears to be significantly limited by this conformational plasticity of its active site. Future efforts to improve this antibody might profitably focus on stabilizing the active conformation of the catalyst. Analogous strategies may also be relevant to other engineered proteins that are limited by an unfavorable conformational pre-equilibrium.     

Assemblies of free amino acids as possible prebiotic catalysts

Our understanding of how life emerged on Earth has much to do with speculations about the ways in which prebiotic catalysts could have been formed. Since enzymes, the contemporary biological catalysts, are polymers of amino acids, we looked at the possible activity of free amino acids as catalysts. In this study it is shown experimentally that mixtures of free amino acids exert catalytic activities of -galactosidase, carbonic anhydrase, and catalase. We also observed different levels of catalytic activty of individual amino acids: some were more efficient than others. Apparently, assemblies of amino acids which were formed around substrate molecules through weak interactions, could, in principle, catalyze many prebiotic reactions. This might have been one step in the emergence of biological enzymes.     

A molecular mechanics investigation of the structures and energetics of two classes of Ru(II) complexes with applications in homogeneous catalysis

We have used the extensible systematic forcefield (ESFF) to model two classes of chiral organometallic complexes with Ru(II) centres, both complexes having been shown to have excellent catalytic performance with respect to asymmetric ketone hydrogenation. Our results compare favourably with all available experimental data for these complexes, illustrating that the ESFF can be applied successfully to these systems. The results we obtain are useful and relevant in connection with the study of these complexes as catalysts and in turn the results support the further use of the ESFF for modelling other organometallic complexes.     

Compositional Inheritance: Comparison of Self-assembly and Catalysis

Genetic inheritance in modern cells is due to template-directed replication of nucleic acids. However, the difficulty of prebiotic synthesis of long information-carrying polymers like RNA raises the question of whether some other form of heredity is possible without polymers. As an alternative, the lipid world theory has been proposed, which considers non-covalent assemblies of lipids, such as micelles and vesicles. Assemblies store information in the form of a non-random molecular composition, and this information is passed on when the assemblies divide, i.e. the assemblies show compositional inheritance. Here, we vary several important assumptions of previous lipid world models and show that compositional inheritance is relevant more generally than the context in which it was originally proposed. Our models assume that interaction occurs between nearest neighbour molecules only, and account for spatial segregation of molecules of different types within the assembly. We also draw a distinction between a self-assembly model, in which the composition is determined by mutually favourable interaction energies between the molecules, and a catalytic model, in which the composition is determined by mutually favourable catalysis. We show that compositional inheritance occurs in both models, although the self-assembly case seems more relevant if the molecules are simple lipids. In the case where the assemblies are composed of just two types of molecules, there is a strong analogy with the classic two-allele Moran model from population genetics. This highlights the parallel between compositional inheritance and genetic inheritance.     

Detection and correction of erroneous eye movements by the brain error detector while tracking moving object

The models for research of function of the brain error detector of eye movements are described. The quantitative estimation of temporary parameters of erroneous eye saccades detection and correction of the healthy people is given. The data on distinctions in duration of the latency, speed and other parameters of erroneous and correctional saccades, are used for discussion on types of sensory signals used by the brain detector for revealing and correction of erroneous eye movements.     

Molecular cloning and chromosomal mapping of the human gene for the testis-specific catalytic subunit of calmodulin-dependent protein phosphatase (calcineurin A).

A cDNA for an alternatively spliced variant of the testis-specific catalytic subunit of calmodulin dependent protein phosphatase (CaM-PrP) was cloned from a human testis library. The nucleotide sequence of 2134 base pairs (bp) encodes a protein of 502 amino acids (Mr approximately 57,132) and pI 7.0. The cDNA sequence differs from the murine form of this gene by a 30 bp deletion in the coding region, the position of which matches those in the two other genes for the catalytic subunit. These data indicate that this alternative splicing event arose prior to the divergence of the three genes. The deduced sequence of the human protein is only 88% identical to the homologous murine form, in striking contrast to the other two CaM-PrP catalytic subunits which are highly conserved between mouse and human (approximately 99%); this indicates a more rapid rate of evolution for the testis-specific gene. Analysis of Southern blots containing DNA from human-hamster somatic cell hybrids show that the gene is on human chromosome 8.     

On the statistical assessment of classifiers using DNA microarray data

Background

In this paper we present a method for the statistical assessment of cancer predictors which make use of gene expression profiles. The methodology is applied to a new data set of microarray gene expression data collected in Casa Sollievo della Sofferenza Hospital, Foggia – Italy. The data set is made up of normal (22) and tumor (25) specimens extracted from 25 patients affected by colon cancer. We propose to give answers to some questions which are relevant for the automatic diagnosis of cancer such as: Is the size of the available data set sufficient to build accurate classifiers? What is the statistical significance of the associated error rates? In what ways can accuracy be considered dependant on the adopted classification scheme? How many genes are correlated with the pathology and how many are sufficient for an accurate colon cancer classification? The method we propose answers these questions whilst avoiding the potential pitfalls hidden in the analysis and interpretation of microarray data.

Results

We estimate the generalization error, evaluated through the Leave-K-Out Cross Validation error, for three different classification schemes by varying the number of training examples and the number of the genes used. The statistical significance of the error rate is measured by using a permutation test. We provide a statistical analysis in terms of the frequencies of the genes involved in the classification. Using the whole set of genes, we found that the Weighted Voting Algorithm (WVA) classifier learns the distinction between normal and tumor specimens with 25 training examples, providing e = 21% (p = 0.045) as an error rate. This remains constant even when the number of examples increases. Moreover, Regularized Least Squares (RLS) and Support Vector Machines (SVM) classifiers can learn with only 15 training examples, with an error rate of e = 19% (p = 0.035) and e = 18% (p = 0.037) respectively. Moreover, the error rate decreases as the training set size increases, reaching its best performances with 35 training examples. In this case, RLS and SVM have error rates of e = 14% (p = 0.027) and e = 11% (p = 0.019). Concerning the number of genes, we found about 6000 genes (p < 0.05) correlated with the pathology, resulting from the signal-to-noise statistic. Moreover the performances of RLS and SVM classifiers do not change when 74% of genes is used. They progressively reduce up to e = 16% (p < 0.05) when only 2 genes are employed. The biological relevance of a set of genes determined by our statistical analysis and the major roles they play in colorectal tumorigenesis is discussed.

Conclusions

The method proposed provides statistically significant answers to precise questions relevant for the diagnosis and prognosis of cancer. We found that, with as few as 15 examples, it is possible to train statistically significant classifiers for colon cancer diagnosis. As for the definition of the number of genes sufficient for a reliable classification of colon cancer, our results suggest that it depends on the accuracy required.     

An investigation of antibody acyl hydrolysis catalysis using a large set of related haptens

An aspect of catalytic antibody research that receives little attention in the literature involves hapten systems that fail to elicit antibody catalysts despite a high affinity immune response and hapten designs that resemble those known to elicit catalysts. We have investigated a series of 12 phosphate and phosphonate haptens in a total of three animal systems. Dramatic and reproducible differences were observed in the catalytic activities of polyclonal antibodies elicited by the different haptens. A phosphate hapten with a phenyl ring on the side of the hapten opposite the linker elicited reproducibly high levels of polyclonal antibody catalytic activity. The other 11 haptens, most with benzyl groups on the side of the hapten opposite the linker, elicited immune responses in which catalytic activity was significantly weaker in terms of the level of observed catalytic activity, as well as frequency of elicited catalysts. Our results indicate that subtle features of transition state analogue hapten structure can have a dramatic and reproducible influence over the catalytic activity of elicited antibodies in related haptens. Whatever the explanation, subtle changes in mechanistic features due to altered leaving group ability/location or overall hapten flexibility, the comprehensive data presented here indicate that phenyl or 4-nitrophenyl leaving groups located opposite the hapten linker are to be preferred in order to elicit highly active antibody catalysts for acyl hydrolysis reactions.