Human plasminogen kringle 3: solution structure, functional insights, phylogenetic landscape.

Human plasminogen kringle 3 (hPgn K3) domain contains most elements of the canonical lysine-binding site (LBS) found in other Pgn kringles. However, it does not exhibit affinity for either lysine or structurally related zwitterionic ligands. It has been shown that lysine-binding activity can be engineered via a Lys57 --> Asp mutation [Burgin, J., and Schaller, J. (2009) Cell. Mol. Life Sci. 55, 135]. Using a recombinant construct expressed in Escherichia coli, the three-dimensional solution structure of hPgn K3 was determined via NMR spectroscopy [heavy atom averaged rmsd = 0.35 +/- 0.07 A (backbone) and 0.75 +/- 0.12 A (all)]. The (1)H/(15)N heteronuclear single-quantum correlated (HSQC) spectra for both wild-type K3 and mutated [r(K57D)K3] structures are essentially identical, implying that the two structures are effectively isomorphous. The affinity of r(K57D)K3 for the lysine analogue trans-(aminomethyl)cyclohexanecarboxylic acid (AMCHA) was investigated from ligand-induced NMR chemical shift perturbations, which enabled for mapping the binding site on the mutated domain surface. The equilibrium association constant, K(a), was determined to be approximately 5.23 +/- 0.03 mM(-1). Homology modeling combined with in silico docking of lysine-like zwitterionic ligands via AutoDock 4.0 supports functionality of the engineered (K57D)K3 LBS, whose electrostatic focal centers are defined by the Arg36/Arg71 cationic and Asp55/Asp57 anionic pairs. Comparison of K3-type sequences from different vertebrates, including kringles from hedgehog apolipoprotein(a) [Apo(a)] and Apo(a)-related (Arp) sequences, reveals that Lys57 is confined to the hPgn variant. Based on the likely phylogeny and ligand affinities of the homologous domains, it is suggested that the hPgn K3 is unique in that all other K3-type domains, including hedgehog Apo(a) and all Arp domains, except K3(1), are predicted to variously exhibit lysine-binding capability. In Arp K3(1) an Arg residue fills site 72, replacing the key aromatic residue found in other kringles, thus interfering with a requisite kringle-ligand hydrophobic interaction.

Conformational dynamics and ligand binding in the multi-domain protein PDC109.

PDC109 is a modular multi-domain protein with two fibronectin type II (Fn2) repeats joined by a linker. It plays a major role in bull sperm binding to the oviductal epithelium through its interactions with phosphorylcholines (PhCs), a head group of sperm cell membrane lipids. The crystal structure of the PDC109-PhC complex shows that each PhC binds to the corresponding Fn2 domain, while the two domains are on the same face of the protein. Long timescale explicit solvent molecular dynamics (MD) simulations of PDC109, in the presence and absence of PhC, suggest that PhC binding strongly correlates with the relative orientation of choline-phospholipid binding sites of the two Fn2 domains; unless the two domains tightly bind PhCs, they tend to change their relative orientation by deforming the flexible linker. The effective PDC109-PhC association constant of 28 M(-1), estimated from their potential of mean force is consistent with the experimental result. Principal component analysis of the long timescale MD simulations was compared to the significantly less expensive normal mode analysis of minimized structures. The comparison indicates that difference between relative domain motions of PDC109 with bound and unbound PhC is captured by the first principal component in the principal component analysis as well as the three lowest normal modes in the normal mode analysis. The present study illustrates the use of detailed MD simulations to clarify the energetics of specific ligand-domain interactions revealed by a static crystallographic model, as well as their influence on relative domain motions in a multi-domain protein.

Solution structure and functional characterization of human plasminogen kringle 5.

The ligand binding properties of the kringle 5 (K5) domain of human plasminogen have been investigated via intrinsic tryptophan fluorescence. The oleic acid (OA) affinity for K5 was quantified, yielding an association constant K(a) approximately 2.08 x 10(4) mM(-1). Simultaneously, it was determined that OA and trans-4-(aminomethyl)cyclohexanecarboxylic acid (AMCHA) (K(a) approximately 50 mM(-1)) compete for binding to K5. The solution structure of K5 in the presence of 11 mM AMCHA was solved via NMR spectroscopy (protein heavy atom RMSD approximately 0.93 +/- 0.12 A). The AMCHA binding site was localized via (1)H/(15)N chemical shift perturbation mapping assisted by in silico docking. We have found that AMCHA binds at the canonical kringle lysine binding site (LBS), structured by the Pro54-Gly60 segment plus the neighboring Phe36, Thr37, Trp62, Leu71, and Tyr72 residues. The segment 30-42, encompassing LBS residues, appears to be endowed with a higher degree of structural flexibility as suggested by the relatively lower value of S(2), the generalized order parameter, consistent with a higher backbone heavy atom RMSD of approximately 1.22 A (vs 0.84 A overall) between the two monomeric units in the crystal unit cell, of potential significance for ligand binding. OA was found to perturb the same area of the protein, namely, the LBS, as well as Tyr74. Combined with previous studies, the observation of OA binding expands the range of ligands that interact with kringle 5 while it widens the scope of potential biological functions for kringle domains.

NMR solution structure of the neurotrypsin Kringle domain.

Neurotrypsin is a multidomain protein that serves as a brain-specific serine protease. Here we report the NMR structure of its kringle domain, NT/K. The data analysis was performed with the BACUS (Bayesian analysis of coupled unassigned spins) algorithm. This study presents the first application of BACUS to the structure determination of a 13C unenriched protein for which no prior experimental 3D structure was available. NT/K adopts the kringle fold, consisting of an antiparallel beta-sheet bridged by an overlapping pair of disulfides. The structure reveals the presence of a surface-exposed left-handed polyproline II helix that is closely packed to the core beta-structure. This feature distinguishes NT/K from other members of the kringle fold and points toward a novel functional role for a kringle domain. Functional divergence among kringle domains is discussed on the basis of their surface and electrostatic characteristics.

Sequence specific resonance assignment via Multicanonical Monte Carlo search using an ABACUS approach.

ABACUS [Grishaev et al. (2005) Proteins 61:36-43] is a novel protocol for automated protein structure determination via NMR. ABACUS starts from molecular fragments defined by unassigned J-coupled spin-systems and involves a Monte Carlo stochastic search in assignment space, probabilistic sequence selection, and assembly of fragments into structures that are used to guide the stochastic search. Here, we report further development of the two main algorithms that increase the flexibility and robustness of the method. Performance of the BACUS [Grishaev and Llinás (2004) J Biomol NMR 28:1-101] algorithm was significantly improved through use of sequential connectivities available from through-bond correlated 3D-NMR experiments, and a new set of likelihood probabilities derived from a database of 56 ultra high resolution X-ray structures. A Multicanonical Monte Carlo procedure, Fragment Monte Carlo (FMC), was developed for sequence-specific assignment of spin-systems. It relies on an enhanced assignment sampling and provides the uncertainty of assignments in a quantitative manner. The efficiency of the protocol was validated on data from four proteins of between 68-116 residues, yielding 100% accuracy in sequence specific assignment of backbone and side chain resonances.

Deuterated protein folds obtained directly from unassigned nuclear overhauser effect data.

We demonstrate the feasibility of determining the global fold of a highly deuterated protein from unassigned experimental NMR nuclear Overhauser effect (NOE) data only. The method relies on the calculation of a spatial configuration of covalently unconnected protons-a "cloud"-directly from unassigned distance restraints derived from 13C- and 15N-edited NOESY spectra. Each proton in the cloud, labeled by its chemical shift and that of the directly bound 13C or 15N, is subsequently mapped to specific atoms in the protein. This is achieved via graph-theoretical protocols that search for connectivities in graphs that encode the structural information within the cloud. The peptidyl HN chain is traced by seeking for all possible routes and selecting the one that yields the minimal sum of sequential distances. Complete proton identification in the cloud is achieved by linking the side-chain protons to proximal main-chain HNs via bipartite graph matching. The identified protons automatically yield the NOE assignments, which in turn are used for structure calculation with RosettaNMR, a protocol that incorporates structural bias derived from protein databases. The method, named Sparse-Constraint CLOUDS, was applied to experimental NOESY data on the 58-residue Z domain of staphylococcal protein A. The generated structures are of similar accuracy to those previously reported, which were derived via a conventional approach involving a larger NMR data set. Additional tests were performed on seven reported protein structures of various folds, using restraint lists simulated from the known atomic coordinates.

Protein structure elucidation from minimal NMR data: the CLOUDS approach.

In this chapter we review automated methods of protein NMR data analysis and expand on the assignment-independent CLOUDS approach. As presented, given a set of reliable NOEs it is feasible to derive a spatial H-atom distribution that provides a low-resolution image of the protein structure. In order to generate such a list of unambiguous NOEs, a probabilistic assessment of the NOE identities (in terms of frequency-labeled H-atom sources) was developed on the basis of Bayesian inference. The methodology, encompassing programs SPI and BACUS, provides a list of "clean" NOEs that does not hinge on prior knowledge of sequence-specific resonance assignments or a preliminary structural model. As such, the combined SPI/BACUS approach, intrinsically adaptable to include 13C- and/or 15N-edited experiments, affords a useful tool for the analysis of NMR data irrespective of whether the adopted structure calculation protocol is assignment-dependent.

The CCPN data model for NMR spectroscopy: development of a software pipeline.

To address data management and data exchange problems in the nuclear magnetic resonance (NMR) community, the Collaborative Computing Project for the NMR community (CCPN) created a "Data Model" that describes all the different types of information needed in an NMR structural study, from molecular structure and NMR parameters to coordinates. This paper describes the development of a set of software applications that use the Data Model and its associated libraries, thus validating the approach. These applications are freely available and provide a pipeline for high-throughput analysis of NMR data. Three programs work directly with the Data Model: CcpNmr Analysis, an entirely new analysis and interactive display program, the CcpNmr FormatConverter, which allows transfer of data from programs commonly used in NMR to and from the Data Model, and the CLOUDS software for automated structure calculation and assignment (Carnegie Mellon University), which was rewritten to interact directly with the Data Model. The ARIA 2.0 software for structure calculation (Institut Pasteur) and the QUEEN program for validation of restraints (University of Nijmegen) were extended to provide conversion of their data to the Data Model. During these developments the Data Model has been thoroughly tested and used, demonstrating that applications can successfully exchange data via the Data Model. The software architecture developed by CCPN is now ready for new developments, such as integration with additional software applications and extensions of the Data Model into other areas of research.

Modular autonomy, ligand specificity, and functional cooperativity of the three in-tandem fibronectin type II repeats from human matrix metalloproteinase 2.

Matrix metalloproteinase 2 (MMP-2) contains three fibronectin type II (col) modules that contribute to its collagen specificity. We observed that the CD spectra of the separate col modules account for the CD and temperature profiles of the in-tandem col-123 construct. Thus, to the extent of not significantly perturbing the secondary structure and thermal stability characteristics of the neighboring units, the domains within col-123 do not interact. Via NMR, we investigated ligand binding properties of the three repeats within col-123: col-123/1 (the col-1 domain within col-123), col-123/2, and col-123/3. Interactions of col-123 with the collagen mimic peptide (Pro-Pro-Gly)6 (PPG6) and propeptide segment PIIKFPGDVA (p33-42) were studied. While col-123/1 and col-123/2 bound PPG6, they interacted more weakly with p33-42. In contrast, col-123/3 exhibited a higher affinity for p33-42 than for PPG6. Thus, despite their structural homology, the col repeats of MMP-2 differ in substrate specificity. Furthermore the binding affinities toward the three in-tandem col repeats were close to those determined for the individual isolated domains or for col-12/1, indicating that vis-a-vis these ligands each module interacts essentially as an autonomous unit. Interestingly the domains within col-123 exhibited enhanced affinities for Hel3, a construct that contains ((Gly-Pro-Pro)12)3 in triple helical configuration. Nevertheless the affinities were significantly higher for col-123/1 and col-123/2 relative to col-123/3 in line with their behaviors toward PPG6. This hints at a cooperative participation toward Hel3, which is a closer mimic of collagen, a hypothesis that is supported by the detected lower affinities of col-12/1, col-12/2, col-2, col-23/2, col-3, and col-23/3 for Hel3.

Correlation between pain, disability, and quality of life in patients with common low back pain.

STUDY DESIGN: Correlation among previously validated questionnaires. OBJECTIVES: To determine the correlation between pain, disability, and quality of life in patients with low back pain. SUMMARY OF BACKGROUND DATA: The Visual Analogue Scale (VAS), and the Roland-Morris (RMQ), Oswestry (OQ), and EuroQol (EQ) Questionnaires are validated instruments to assess pain, low back pain-related disability, and quality of life. METHODS: The study was done in the primary care setting, in Mallorca, with 195 patients who visited their physician for LBP. Individuals were given the VAS, RMQ, OQ, and EQ on their first visit and 14 days later. RESULTS: Median duration of pain when entering the study was 10 days (P25,P75: 3, 40). On day 1, simple correlation was r = 0.347 between VAS and RMQ, r = -0.422 between VAS and EQ, and r = -0.442 between RMQ and EQ. On day 15, simple correlation was r = 0.570 between VAS and RMQ, r = -0.672 between VAS and EQ, and r = -0.637 between RMQ and EQ. Multiple linear regression models showed that, on day 1, the VAS score explains 12% of the RMQ score and the VAS and RMQ scores explain 27% of the EQ score. On day 15, the VAS score explains 33% of the RMQ score, and the VAS and RMQ scores explain 58% of the EQ score. On day 1, a 10% increase in VAS worsens disability by 3.3% and quality of life by 2.65%. On day 15, a 10% increase in VAS worsens disability by 4.99% and quality of life by 3.80%. Prestudy duration of pain had no influence on any model. All these correlation coefficients and models are significant at the P < 0.001 level. The OQ had lower correlation values with the other three scales, and only two of them were significant. CONCLUSION: Clinically relevant improvements in pain may lead to almost unnoticeable changes in disability and quality of life. Therefore, these variables should be assessed separately when evaluating the effect of any form of treatment for low back pain. The influence of pain and disability on quality of life progresses while they last, and doubles in 14 days. In acute and subacute patients, this increase is not dependent on the previous duration of pain.

BACUS: A Bayesian protocol for the identification of protein NOESY spectra via unassigned spin systems.

NMR frequency assignments are usually considered a prerequisite for the analysis of NOESY spectra, in turn required for the calculation of biomolecular structures. In contrast, as we propose here, relatively high numbers of unambiguous NOE identities can be consistently achieved in an automated manner by relying only on grouping resonances into connected spin systems. To achieve this goal, we have developed for proteins two protocols, SPI and BACUS, based on Bayesian inference. SPI (Grishaev and Llinás, 2002c) produces a list of the (1)H resonance frequencies from homo- and hetero-nuclear multidimensional spectra, grouped into effective spin systems. BACUS automatically establishes probabilistic identities of NOESY cross-peaks in terms of the chemical shifts provided by SPI. BACUS requires neither assignment of resonances nor an initial structural model. It successfully copes with chemical shift overlap and does so without cycling through 3D structure calculations. The method exploits the self-consistency of the NOESY graph by taking advantage of a network of J- as well as NOE-connected "reporter" protons sorted via SPI. BACUS was validated by tests on experimental NOESY data recorded for the col 2 and kringle 2 domains.

Structural/functional characterization of the alpha 2-plasmin inhibitor C-terminal peptide.

The alpha(2)-plasmin inhibitor (A2PI) is a main physiological regulator of the trypsin-like serine proteinase plasmin. It is composed of an N-terminal 15 amino acid fibrin cross-linking polypeptide, a 382-residue serpin domain, and a flexible C-terminal segment. The latter, peptide Asn(398)-Lys(452), and its Lys452Ala mutant were expressed as recombinant proteins in Escherichia coli (r-A2PIC and r-A2PICmut, respectively). CD and NMR analyses indicate that r-A2PIC is flexible, loosely folded, and with low content of regular secondary structure. Functional characterization via intrinsic fluorescence ligand titrations shows that r-A2PIC interacts with the isolated plasminogen kringle 1 (r-K1) (K(a) approximately 69.9 mM(-)(1)), K4 (K(a) approximately 45.7 mM(-)(1)), K5 (K(a) approximately 4.3 mM(-)(1)), and r-K2 (K(a) approximately 3.2 mM(-)(1)), all of which are known to exhibit lysine-binding capability. The affinities of these kringles for r-A2PIC are consistently larger than those reported for the ligand N(alpha)-acetyllysine, a mimic of a C-terminal Lys residue. The r-A2PICmut, with a C-terminal Ala residue, also interacts with r-K1 and K4, although with approximately 5-fold lesser affinities relative to r-A2PIC, demonstrating that while Lys(452) plays a major role in the binding, internal residues in r-A2PIC tether the kringles. (1)H NMR spectroscopy shows that key aromatic residues within the K4 lysine-binding site (LBS), namely, Trp(25), Trp(62), Phe(64), Trp(72), and Tyr(74), selectively respond to the addition of r-A2PIC and r-A2PICmut, indicating that these interactions proceed via the kringles' canonical LBS. We conclude that r-A2PIC docks to kringles primarily through lysine side chains and that Lys(452) most definitely enhances the binding. This suggests that multiple Lys residues within A2PI could contribute, perhaps in a zipper-like fashion, to its binding to the in-tandem, multikringle array that configures the plasmin heavy chain.

Peptide ligands for the fibronectin type II modules of matrix metalloproteinase 2 (MMP-2).

The interaction of matrix metalloproteinase 2 (MMP-2) with gelatin is mediated by three repeats homologous to fibronectin type II (FN2) modules, which are inserted in the catalytic domain in proximity of the active site. We screened a random 15-mer phage display library to identify peptides that interact with the FN2 modules of MMP-2. Interestingly, the selected peptides are not gelatin-like and do not share a common, obvious sequence motif. However, they contain a high proportion of aromatic residues. The interactions of two peptides, WHWRH0RIPLQLAAGR and THSHQWRHHQFPAPT, with constructs comprising the in-tandem first and second and second and third FN2 modules of MMP-2 (Col-12 and Col-23, respectively) were characterized by NMR. Both peptides interact with Col-12 and Col-23 with apparent association constants in the mm(-1) range. Peptide binding results in perturbation of signals from residues located in the gelatin-binding pocket and flexible parts of the molecule. Although the former finding suggests that the gelatin-binding site is involved in the contact, the interpretation of the latter is less straightforward and may well reflect both the direct and indirect effects of the interaction.

CLOUDS, a protocol for deriving a molecular proton density via NMR.

We demonstrate the feasibility of computing realistic spatial proton distributions for proteins in solution from experimental NMR nuclear Overhauser effect data only and with minimal assignments. The method, CLOUDS, relies on precise and abundant interproton distance restraints calculated via a relaxation matrix analysis of sets of experimental nuclear Overhauser effect spectroscopy crosspeaks. The MIDGE protocol was adapted for this purpose. A gas of unassigned, unconnected H atoms is condensed into a structured proton distribution (cloud) via a molecular dynamics simulated-annealing scheme in which the internuclear distances and van der Waals repulsive terms are the only active restraints. Proton densities are generated by combining a large number of such clouds, each computed from a different trajectory. After filtering by reference to the cloud closest to the mean, a minimal dispersion proton density (foc) is identified. The latter affords a quasi-continuous hydrogen-only probability distribution that conveys immediate information on the protein surface topology (grooves, protrusions, potential binding site cavities, etc.), directly related to the molecular structure. Feasibility of the method was tested on NMR data measured on two globular protein domains of low regular secondary structure content, the col 2 domain of human matrix metalloproteinase-2 and the kringle 2 domain of human plasminogen, of 60 and 83 amino acid residues, respectively.

Protein structure elucidation from NMR proton densities.

The NMR-generated foc proton density affords a template to which the molecule has to be fitted to derive the structure. Here we present a computational protocol that achieves this goal. H(N) atoms are readily recognizable from (1)H/(2)H exchange or (1)H/(15)N heteronuclear single quantum correlation (HSQC) experiments. The primary structure is threaded through the unassigned foc by leapfrogging along peptidyl amide H(N)s and the connected H(alpha)s. Via a Bayesian approach, the probabilities of the sequential connectivity hypotheses are inferred from likelihoods of H(N)/H(N), H(N)/H(alpha), and H(alpha)/H(alpha) interatomic distances as well as (1)H NMR chemical shifts, both derived from public databases. Once the polypeptide sequence is identified, directionality becomes established, and the foc N and C termini are recognized. After a similar procedure, side chain H atoms are found, including discriminated cis/trans proline loci. The folded structure then is derived via a direct molecular dynamics embedding into mirror image-related representations of the foc and selected according to a lowest energy criterion. The method was applied to foc densities calculated for two protein domains, col 2 and kringle 2. The obtained structures are within 1.0-1.5 A (backbone heavy atoms) and 1.5-2.0 A (all heavy atoms) rms deviations from reported x-ray and/or NMR structures.

The col-1 module of human matrix metalloproteinase-2 (MMP-2): structural/functional relatedness between gelatin-binding fibronectin type II modules and lysine-binding kringle domains.

Human matrix metalloproteinase-2 (MMP-2) contains three in-tandem fibronectin type II (FII) repeats that bind gelatin. Here, we report the NMR solution structure of the first FII module of MMP-2 (col-1). The latter is described as a characteristic, globular FII fold containing two beta-sheets, a stretch of 3(1)-helix, a turn of alpha-helix, and an exposed hydrophobic surface lined with aromatic residues. We show that col-1 binds (Pro-Pro-Gly)6, a mimic of gelatin, with a Ka of approx. 0.42 mm(-1), and that its binding site involves a number of aromatic residues as well as Arg34, as previously found for the second and third homologous repeats. Moreover, the affinity of the in-tandem col-1+2 construct (col-12) toward the longer ligand (Pro-Pro-Gly)12 is twice that for (Pro-Pro-Gly)6, as expected from mass action. A detailed structural comparison between FII and kringle domains indicates that four main conformational features are shared: two antiparallel beta-sheets, a central 3(1)-helix, and the quasiperpendicular orientation of the two proximal Cys-Cys bonds. Structure superposition by optimizing overlap of cystine bridge areas results in close juxtaposition of their main beta-sheets and 31-helices, and reveals that the gelatin binding site of FII modules falls at similar locations and exhibits almost identical topological features to those of the lysine binding site of kringle domains. Thus, despite the minor (<15%) consensus sequence relating FII modules to kringles, there is a strong folding and binding site structural homology between the two domains, enforced by key common conformational determinants.

The two-domain NK1 fragment of plasminogen: folding, ligand binding, and thermal stability profile.

The two-domain fragment N+K1 (rNK1) [Glu(1)-Glu(163)] of human plasminogen was expressed in E. coli as a hexahistidine-tagged fusion protein and chromatographically purified. The (1)H NMR spectrum supports proper folding of the K1 component within the refolded rNK1 construct (rNK1/K1). The functional properties of rNK1/K1 were investigated via intrinsic fluorescence titration with kringle-specific omega-aminocarboxylic acid ligands. The affinities closely match those previously measured for the isolated K1, which indicates that the N-domain does not significantly affect the interaction of ligands with the lysine binding site of K1. Far-UV CD spectra recorded for the N-domain suggest conformational plasticity and flexibility for the module. Two classes of spectra, referred to as types A and B, were identified with the type A spectrum reflecting a higher secondary structure content than that estimated for the type B spectrum. Subtracting the CD spectrum of rK1 from that of rNK1 yields a spectrum (Delta) which reflects the conformation of the N-domain within the rNK1 construct (rNK1/N). Delta resembles the type A spectrum, suggesting that rNK1/N adopts a relatively more ordered conformation, stabilized by the adjacent rNK1/K1 domain. In contrast, thermal unfolding curves determined via CD indicate that the rNK1/N slightly lowers the melting temperature (T(m)) of rNK1/K1. Independence of the two domains within rNK1 was tested by monitoring the thermal unfolding of rNK1/K1 when in the presence of the kringle-specific ligand AMCHA, which left the rNK1/N T(m) essentially unaffected, while increasing that of the rNK1/K1 by approximately 10 degrees C.

A cyclic pentapeptide derived from the second EGF-like domain of Factor VII is an inhibitor of tissue factor dependent coagulation and thrombus formation.

We have previously reported the finding of a cyclic dodecapeptide representing loop I of the second EGF-like domain of FVII, which inhibited TF-dependent FX activation (Orning et al. 1997). The biological activity was localized to the tripeptide motif, Glu-Gln-Tyr. We have now synthesized a cyclic analog of this motif, Cys-Glu-Gln-Tyr-Cys (PN7051), evaluated its anticoagulant and antithrombotic properties and performed a detailed structural characterization of the peptide. PN7051 is a dose-dependent inhibitor of TF-dependent FX activation and coagulation of plasma with IC50 values of 10+/-2 microM and 1.3+/-0.2 mM, respectively. It shows inhibitory efficacy on acute thrombus formation in an ex vivo model of human thrombosis using native blood. Fibrin deposition, platelet-fibrin adhesion, platelet-thrombus formation, and thrombin-antithrombin complex formation were all inhibited by PN7051 at IC50 values between 0.3 and 0.7 mM. The cyclic peptide is a non-competitive inhibitor of FX activation with no significant active-site effects on FXa or FVIIa, indicating it affects FVII/TF/FX complex formation and function. Studies on the structure activity relationship revealed that Gln3-Tyr4, but not Glu2 were of importance for inhibition. In line with biological results, NMR measurements of PN7051 suggested that the Gln and Tyr residues configure a structural feature that contributes to the anticoagulant activity. Modeling of the Glu99Gln100Tyr101 motif in FVII and comparison with the solution structure of PN705 I suggest that the cyclic pentapeptide exerts its antithrombotic effect by interfering with the docking of Tyr101 into a hydrophobic pocket in the catalytic domain thereby disrupting an essential interaction between the second EGF-like and the catalytic domains of FVII.

Sorting signals from protein NMR spectra: SPI, a Bayesian protocol for uncovering spin systems.

Grouping of spectral peaks into J-connected spin systems is essential in the analysis of macromolecular NMR data as it provides the basis for disentangling chemical shift degeneracies. It is a mandatory step before resonance and NOESY cross-peak identities can be established. We have developed SPI, a computational protocol that scrutinizes peak lists from homo- and hetero-nuclear multidimensional NMR spectra and progressively assembles sets of resonances into consensus J- and/or NOE-connected spin systems. SPI estimates the likelihood of nuclear spin resonances appearing at defined frequencies given sets of cross-peaks measured from multi-dimensional experiments. It quantifies spin system matching probabilities via Bayesian inference. The protocol takes advantage of redundancies in the number of connectivities revealed by suites of diverse NMR experiments, systematically tracking the adequacy of each grouping hypothesis. SPI was tested on 2D homonuclear and 2D/3D(15)N-edited data recorded from two protein modules, the col 2 domain of matrix metalloproteinase-2 (MMP-2) and the kringle 2 domain of plasminogen, of 60 and 83 amino acid residues, respectively. For these protein domains SPI identifies approximately 95% unambiguous resonance frequencies, a relatively good performance vis-à-vis the reported 'manual' (interactive) analyses. Abbreviations and Acronyms: SPI, SPin Identification; BMRB, BioMagResBank (Madison, WI).