Specificity of trypsin and chymotrypsin: loop-motion-controlled dynamic correlation as a determinant

Trypsin and chymotrypsin are both serine proteases with high sequence and structural similarities, but with different substrate specificity. Previous experiments have demonstrated the critical role of the two loops outside the binding pocket in controlling the specificity of the two enzymes. To understand the mechanism of such a control of specificity by distant loops, we have used the Gaussian network model to study the dynamic properties of trypsin and chymotrypsin and the roles played by the two loops. A clustering method was introduced to analyze the correlated motions of residues. We have found that trypsin and chymotrypsin have distinct dynamic signatures in the two loop regions, which are in turn highly correlated with motions of certain residues in the binding pockets. Interestingly, replacing the two loops of trypsin with those of chymotrypsin changes the motion style of trypsin to chymotrypsin-like, whereas the same experimental replacement was shown necessary to make trypsin have chymotrypsin's enzyme specificity and activity. These results suggest that the cooperative motions of the two loops and the substrate-binding sites contribute to the activity and substrate specificity of trypsin and chymotrypsin.     

Conformational Adaptation of Asian Macaque TRIMCyp Directs Lineage Specific Antiviral Activity

TRIMCyps are anti-retroviral proteins that have arisen independently in New World and Old World primates. All TRIMCyps comprise a CypA domain fused to the tripartite domains of TRIM5α but they have distinct lentiviral specificities, conferring HIV-1 restriction in New World owl monkeys and HIV-2 restriction in Old World rhesus macaques. Here we provide evidence that Asian macaque TRIMCyps have acquired changes that switch restriction specificity between different lentiviral lineages, resulting in species-specific alleles that target different viruses. Structural, thermodynamic and viral restriction analysis suggests that a single mutation in the Cyp domain, R69H, occurred early in macaque TRIMCyp evolution, expanding restriction specificity to the lentiviral lineages found in African green monkeys, sooty mangabeys and chimpanzees. Subsequent mutations have enhanced restriction to particular viruses but at the cost of broad specificity. We reveal how specificity is altered by a scaffold mutation, E143K, that modifies surface electrostatics and propagates conformational changes into the active site. Our results suggest that lentiviruses may have been important pathogens in Asian macaques despite the fact that there are no reported lentiviral infections in current macaque populations.     

An experimental test to compare potential and realised specificity in ticks with different ecologies

The majority of studies on ecological specialisation rely on data reflecting realised specificity, without considering species’ potential specificity. Most species of ticks, a large family of hematophagous ectoparasites, have a narrow host range in nature, but it is unclear whether this is due to host-driven adaptations or other processes (such as off-host abiotic environment). We investigated the potential specificity of two tick species with contrasting ecology by infesting three avian host species that occur in the same off-host macrohabitat but are unequally infested by the ticks in nature (i.e. have contrasting realised specificity). The endophilic specialist tick Ixodes arboricola resides inside the hosts’ nest and has high realised host specificity, whereas the exophilic generalist tick I. ricinus encounters hosts in the field and has very low realised specificity. As hosts, we used great tits (frequently infested by both tick species), blackbirds (frequently infested by I. ricinus but never by I. arboricola) and great spotted woodpeckers (no ticks of either species have been reported). If realised specificity is constrained by host-driven adaptations there should be no differences between potential and realised specificity, whereas if realised specificity is constrained by other processes potential specificity and realised specificity should be different. We found that attachment rates and weight during feeding of I. arboricola were lower on blackbirds than on great tits, whereas there were no such differences for I. ricinus. No ticks of either species attached to woodpeckers. These results indicate that realised host specificity of ticks is, at least partially, constrained by host-driven adaptations. This specificity therefore strongly depends on the ticks’ encounter rates with particular host types, which are affected by the ticks’ off-host ecological requirements, behaviour and life-history characteristics.     

Staying on message: ensuring fidelity in pre-mRNA splicing

The faithful expression of genes requires that cellular machinery select substrates with high specificity at each step in gene expression. High specificity is particularly important at the stage of nuclear pre-mRNA splicing, during which the spliceosome selects splice sites and excises intervening introns. With low specificity, the usage of alternative sites would yield insertions, deletions and frame shifts in mRNA. Recently, biochemical, genetic and genome-wide approaches have significantly advanced our understanding of splicing fidelity. In particular, we have learned that DExD/H-box ATPases play a general role in rejecting and discarding suboptimal substrates and that these factors serve as a paradigm for proofreading NTPases in other systems. Recent advances have also defined fundamental questions for future investigations.     

Cloning and heterologous expression of a broad specificity aminotransferase of Leishmania mexicana promastigotes1

We have previously reported that Leishmania mexicana promastigotes possess a broad substrate specificity aminotransferase (BSAT), able to transaminate aspartate, aromatic amino acids, methionine and leucine. We have confirmed now this unusual substrate specificity by cloning its gene and expressing in Escherichia coli the recombinant active protein. The amino acid sequence of BSAT shares over 40% identity with other eukaryotic and prokaryotic aspartate aminotransferases, thus showing that the enzyme belongs to the subfamily Ialpha of aminotransferases, and has only 6% identity with the tyrosine aminotransferase from Trypanosoma cruzi, which has a similar substrate specificity. The production of recombinant active enzyme in good yields opens up the possibility of obtaining its 3D-structure, in order to investigate the structural basis of the broad substrate specificity.     

Geotrichum candidum produces several lipases with markedly different substrate specificities.

We have purified and examined the substrate specificity of four lipases from two strains of the mould Geotrichum candidum, ATCC 34614 and CMICC 335426. We have designated the lipases I and II (ATCC 34614), and A and B (CMICC 335426). The enzymes are monomeric and have similar molecular masses and pI. Thus, lipases I and II have native molecular masses of 50.1 kDa and 55.5 kDa, and pI of 4.61 and 4.47, respectively. Lipases A and B are very similar to lipases I and II with native molecular masses of 53.7 kDa and 48.9 kDa, and pI of 4.71 and 4.50, respectively. Treatment with endo-beta-N-acetylglucosaminidase caused a reduction in molecular mass of approximately 4.5 kDa for all four lipases, indicating that these enzymes are glycosylated. Western blotting shows that the lipases are related. However, lipase B from CMICC 335426 shows a remarkable specificity for unsaturated substrates with a double bond at position 9 (cis configuration), and this specificity is not exhibited by the other three lipases. No lipase of this unique specificity has previously been purified to homogeneity. Structural studies using these four lipases should allow insight into the molecular basis of this remarkable specificity.     

The codon specificity of eubacterial release factors is determined by the sequence and size of the recognition loop

The two codon-specific eubacterial release factors (RF1: UAA/UAG and RF2: UAA/UGA) have specific tripeptide motifs (PXT/SPF) within an exposed recognition loop shown in recent structures to interact with stop codons during protein synthesis termination. The motifs have been inferred to be critical for codon specificity, but this study shows that they are insufficient to determine specificity alone. Swapping the motifs or the entire loop between factors resulted in a loss of codon recognition rather than a switch of codon specificity. From a study of chimeric eubacterial RF1/RF2 recognition loops and an atypical shorter variant in Caenorhabditis elegans mitochondrial RF1 that lacks the classical tripeptide motif PXT, key determinants throughout the whole loop have been defined. It reveals that more than one configuration of the recognition loop based on specific sequence and size can achieve the same desired codon specificity. This study has provided unexpected insight into why a combination of the two factors is necessary in eubacteria to exclude recognition of UGG as stop.     

Arsonate-specific murine T cell clones. III. Correlation between clonotype expression and fine specificity for analogs of L-tyrosine-p-azobenzenearsonate

Despite recent advances in our understanding of T cell antigen receptor structure, relatively little is known about the role of this receptor in MHC-restricted antigen recognition. To study this problem, we have developed a panel of ABA-Tyr-reactive, I-Ak-restricted T cell clones that differ in their ability to recognize structural analogs of ABA-Tyr. Three fine specificity groups have been defined. In each group, ABA-Tyr elicited the strongest response of any of the antigens tested. Group I clones responded to ABA-conjugated hydroxyphenyl-ethanol (ABA-HPE). Group II clones responded to ABA-conjugated hydroxyphenyl-methanol (ABA-HPM) but not to ABA-HPE, and group III clones responded only to ABA-Tyr. These studies show that differences as small as a single methylene group can dramatically affect fine specificity. Because these clones are all I-Ak-restricted, it was possible to correlate receptor serology with fine specificity. To this end, monoclonal anti-clonotypes were made against clone 16-F2 from group I and used to study the relationship between fine specificity and clonotype expression. A panel of 15 T cell clones studied with four anti-clonotype antibodies showed a strict correlation between clonotype expression and fine specificity. Taken together, these data suggest that the structure recognized by the anti-clonotype antibodies is a determinant of receptor fine specificity.     

Assignment of enzyme substrate specificity by principal component analysis of aligned protein sequences: an experimental test using DNA glycosylase homologs

We have studied the relationship between amino acid sequence and substrate specificity in a DNA glycosylase family by characterizing experimentally the specificity of four new members of the family. We show that principal component analysis (PCA) of the sequence family correctly predicts the substrate specificity of one of the novel homologs even though conventional sequence analysis methods fail to group this homolog with other sequences of the same specificity. PCA also suggested, correctly, that another homolog characterized previously differs in its specificity from those sequences with which it clusters by conventional criteria. These results suggest that principal component analysis of sequence families can be a useful tool in annotating genome sequences when there is ambiguity concerning which subfamily a new homolog belongs to. Published 2000 Wiley-Liss, Inc.     

Modular structure of a docking surface on MAPK phosphatases

Mitogen-activated protein kinases (MAPKs) must be precisely inactivated to achieve proper functions in the cells. Ten members of dual specificity phosphatases specifically acting on MAPKs, termed MAPK phosphatases (MKPs), have been reported. Each member has its own substrate specificity that should be tightly regulated. However, the molecular mechanism underlying the regulation of the specificity is largely unknown. In the MAPK signaling pathways, docking interactions, which are different from transient enzyme-substrate interaction, are known to regulate the enzymatic specificity. Here we have identified and characterized a docking surface of MKPs. Our results show that a docking surface is composed of a tandem alignment of three subregions (modules): a cluster of positively charged amino acids, a cluster of hydrophobic amino acids, and a cluster of positively charged amino acids (positive-hydrophobic-positive). This modular structure well fits the docking groove on MAPKs that we have previously identified and may contribute to regulating the docking specificity of the MKP family. The position, number, and species of charged amino acids in each module including the central hydrophobic subregion are important factors in regulation of docking to specific MAPKs. This modular structure in the docking interaction may define a novel model of protein-protein interaction that would also regulate other systems.     

Mutagenesis and modelling of linoleate-binding to pea seed lipoxygenase.

We have produced a model to define the linoleate-binding pocket of pea 9/13-lipoxygenase and have validated it by the construction and characterization of eight point mutants. Three of the mutations reduced, to varying degrees, the catalytic centre activity (kcat) of the enzyme with linoleate. In two of the mutants, reductions in turnover were associated with changes in iron-coordination. Multiple sequence alignments of recombinant plant and mammalian lipoxygenases of known positional specificity, and the results from numerous other mutagenesis and modelling studies, have been combined to discuss the possible role of the mutated residues in pea 9/13-lipoxygenase catalysis. A new nomenclature for recombinant plant lipoxygenases based on positional specificity has subsequently been proposed. The null-effect of mutating pea 9/13-lipoxygenase at the equivalent residue to that which controlled dual positional specificity in cucumber 13/9-lipoxygenase, strongly suggests that the mechanisms controlling dual positional specificity in pea 9/13-lipoxygenase and cucumber 13/9-lipoxygenase are different. This was supported from modelling of another isoform of pea lipoxygenase, pea 13/9-lipoxygenase. Dual positional specificity in pea lipoxygenases is more likely to be determined by the degree of penetration of the methyl terminus of linoleate and the volume of the linoleate-binding pocket rather than substrate orientation. A single model for positional specificity, that has proved to be inappropriate for arachidonate-binding to mammalian 5-, 12- and 15-lipoxygenases, would appear to be true also for linoleate-binding to plant 9- and 13-lipoxygenases.     

Calcium: just a chemical switch?

The calcium-signature hypothesis has evolved as a concept to explain specificity in signaling pathways that utilise calcium as a second messenger. In plant biology, this hypothesis was purely conceptual and based only upon correlative observations until recently. In the past few years, however, empirical data have emerged from experiments that were specifically designed to tackle the question of how specificity is encoded by calcium. In light of the attractive calcium-signature hypothesis, other potential explanations for signalling specificity have been overshadowed and ignored: it has been assumed that the calcium-signature dogma will explain all plant calcium signaling. However, there is a good deal of evidence supporting a counter-hypothesis in which calcium does not itself encode specificity but is merely an essential 'switch' in signaling. At the very least, both hypotheses are likely to be true in different situations, and it may well be that the calcium-signature hypothesis describes the exception rather than the rule.     

Why neural networks should not be used for HIV-1 protease cleavage site prediction

SUMMARY: Several papers have been published where nonlinear machine learning algorithms, e.g. artificial neural networks, support vector machines and decision trees, have been used to model the specificity of the HIV-1 protease and extract specificity rules. We show that the dataset used in these studies is linearly separable and that it is a misuse of nonlinear classifiers to apply them to this problem. The best solution on this dataset is achieved using a linear classifier like the simple perceptron or the linear support vector machine, and it is straightforward to extract rules from these linear models. We identify key residues in peptides that are efficiently cleaved by the HIV-1 protease and list the most prominent rules, relating them to experimental results for the HIV-1 protease. MOTIVATION: Understanding HIV-1 protease specificity is important when designing HIV inhibitors and several different machine learning algorithms have been applied to the problem. However, little progress has been made in understanding the specificity because nonlinear and overly complex models have been used. RESULTS: We show that the problem is much easier than what has previously been reported and that linear classifiers like the simple perceptron or linear support vector machines are at least as good predictors as nonlinear algorithms. We also show how sets of specificity rules can be generated from the resulting linear classifiers. AVAILABILITY: The datasets used are available at http://www.hh.se/staff/bioinf/     

Impacts of avidity and specificity on the antiviral efficiency of HIV-1-specific CTL

Although CD8(+) CTLs are presumed to be an important mediator of protective immunity in HIV-1 infection, the factors that determine CTL antiviral efficiency are poorly understood. Two factors that have been proposed to influence CTL antiviral function are antigenic avidity and epitope specificity. In this study we evaluate these by examining the activity of HIV-1-specific CTL against acutely infected cells. The ability of CTL to kill infected cells is variable and depends more on epitope specificity than functional avidity within the range for the tested clones (50% of maximal killing, 50 pg/ml to 100 ng/ml); killing efficiency is similar for different clones recognizing the same epitope, despite their variation in avidity. When CTL clones are tested for their ability to suppress viral replication, similar results are observed. Inhibition is more dependent on epitope specificity than functional avidity among the tested clones (50% of maximal killing, 20 pg/ml to 20 ng/ml). Thus, CTL specificity can be an overriding factor in the ability of CTL to interact with HIV-1-infected cells, indicating that factors determining the process of epitope presentation on infected cells have a key influence on CTL efficiency. These results suggest that CTL specificity may have a pivotal role in the immunopathogenesis of infection, and that simple quantitative measures of CTL may be insufficient indicators of the CTL response to HIV-1.     

Variable region of betanodavirus RNA2 is sufficient to determine host specificity

Betanodaviruses, the causative agents of viral nervous necrosis in marine fish, have bipartite positive-sense RNA genomes. The viruses have been classified into 4 distinct types based on nucleotide sequence similarities in the variable region (the so-called T4 region) of the smaller genomic segment RNA2 (1.4 kb). Betanodaviruses have marked host specificity, although the primary structures of the viral RNAs and encoded proteins are similar among the viruses. We have previously demonstrated, using reassortants between striped jack nervous necrosis virus (SJNNV) and redspotted grouper nervous necrosis virus (RGNNV), that RNA2, which encodes the coat protein, strictly controls host specificity. However, because RNA2 is large, we were unable to propose a mechanism underlying this RNA2-based host specificity. To identify the RNA2 region that controls host specificity, we constructed RNA2 chimeric viruses from SJNNV and RGNNV and tested their infectivity in the original host fish, striped jack Pseudocaranx dentex and sevenband grouper Epinephelus septemfasciatus. Among these chimeric viruses, SJNNV mutants containing the variable region of RGNNV RNA2 infected sevenband grouper larvae in a manner similar to RGNNV, while RGNNV mutants containing the variable region of SJNNV RNA2 infected striped jack larvae in a manner similar to SJNNV. Immunofluorescence microscopic studies using anti-SJNNV polyclonal antibodies revealed that these chimeric viruses multiplied in the brains, spinal cords and retinas of the infected fish, as in infections by the parental viruses. These results indicate that the variable region of RNA2 is sufficient to control host specificity in SJNNV and RGNNV.     

Uncovering new aspects of protein interactions through analysis of specificity landscapes in peptide recognition domains

Protein interactions underlie all biological processes. An important class of protein interactions, often observed in signaling pathways, consists of peptide recognition domains binding short protein segments on the surface of their target proteins. Recent developments in experimental techniques have uncovered many such interactions and shed new lights on their specificity. To analyze these data, novel computational methods have been introduced that can accurately describe the specificity landscape of peptide recognition domains and predict new interactions. Combining large-scale analysis of binding specificity data with structure-based modeling can further reveal new biological insights into the molecular recognition events underlying signaling pathways.