1,242 research outputs found
Structure-Based Design of a Blood Coagulation Factor XIII Blocker
FXIII belongs to the family of transglutaminases, mainly catalyzing the cross-linking of proteins by formation of an isopetide bond between a glutamine and a lysine side chain. FXIII represents the last enzyme of the blood coagulation cascade providing final stability to the blood clot by cross-linking of fibrin fibers. Consequently, inhibition of FXIII would still allow the formation of a weak blood clot, most likely resulting in a lower bleeding risk by using a FXIII blocker compared to other anticoagulants.
The primary goal of the thesis was to obtain a crystal structure of factor XIII in its active conformation (FXIIIa) and subsequently to use the gained information about the chemical composition of the active site for the development of FXIIIa blockers.
In collaboration with the biotech company Zedira GmbH FXIIIa° could be crystallized in complex with the covalently-attached inhibitor ZED1301. The crystal structure shows that an enormous conformational change occurs during the transition from the inactive to the active state, whereby two β-barrel domains move out of space exposing the active site for inhibitors or substrates. The inhibitor ZED1301 binds covalently by its warhead (α,β-unsaturated carboxylic ester) to Cys 314 of the active site. The binding of the ligand induces the formation of a hydrophobic tunnel by rotation of the indole ring of Trp 370. The natural function of this tunnel is most likely the shielding of the intermediately formed thioester from hydrolytic cleavage. The substrate binding site can be subdivided into three areas: The catalytic site, an area located N-terminal named α-space as well as an area located C-terminal named β-space. In the β-space a hydrophobic pocket is formed, presumably induced by the tryptophan indole ring of the inhibitor.
Apart from the usage for the structure-based development of FXIIIa-blockers, the crystal structure of FXIIIa° provides mechanistic insights at atomic level that in turn are of fundamental importance for the development of inhibitors for FXIIIa and other human transglutaminases.
In the crystal structure of transglutaminase 2 in complex with a covalent inhibitor (named TG2a*) published in 2007, the enzyme adopts an active state, as in case of FXIIIa°, however not with a globular but linear conformation. Based on the new structural and mechanistic insights obtained by the crystal structure of FXIIIa° and further experimental data from the literature, it has been attempted to explain the occurrence of two different active conformations adopted by FXIII and TG2.
First, at closer inspection of the crystal structure of TG2a*, strand III of the three-stranded β-sheet of the β-barrel 1 domain is displaced, forming a five-stranded β-sheet out of the four-stranded β-sheet of the β-barrel 1 domain and strand II of the original three-stranded β-sheet. The displaced strand III now adopts an α-helical structural element in the region of the β-space which thus is enormously reduced in size. Remarkably, amino acids forming the α-helix belong to calcium binding site 2. Consequently, occupancy of calcium binding site 2 does not allow a linear domain arrangement because the β-barrel 1 domain would clash with the three-stranded β-sheet. Since only the occupancy of calcium binding site 2 enables the formation of the catalytic dyad, the linear state should not exhibit transamidase activity.
By use of a homology model based on the crystal structure of FXIIIa°, it could be shown that TG2 can adopt a conformation equivalent to FXIII in the active state (FXIIIa°). This is in accordance with the observation that some FXIII inhibitors of the α(wh)xxxPW-type have the same affinity against FXIII and TG2. However, due to their size these inhibitors should not be able to bind to the active site of the linear state of TG2 (TG2a*) since they would clash with the α-helix in β-space. Inhibitors of the α(wh)xxxPW-type bind most likely only to the globular active conformation of TG2 as suggested in the present thesis.
Consequently, the inhibitor seems to determine if TG2 adopts the linear or globular active state. This is also indicated by FRET measurements performed by the Keillor lab in Canada showing that, depending on the inhibitor, the enzyme adapts to different conformational states. One state corresponds to the linear conformation, the other state to a more compact conformation. The measurement of the distances between the N- and the C-terminus of the inactive and the active globular state shows that the distances between the N- and the C-terminus decrease during the transformation to the active conformation. Thus, the compact state found by the FRET experiment corresponds most likely the globular active state.
Transferring these findings to the endogenous biochemical function of transglutaminase 2, the complementarity of substrates binding to the linear or the globular active state determines whether the linear active state is formed and the glutamine residue is hydrolyzed in the catalytic center (deamidation) or the globular active state is formed and the glutamine residue is cross-linked with the lysine residue of a co-substrate by formation of an iso-peptide bond. The hypothesis of the substrate-induced chemoselectivity could give an explanation that simultaneously particular glutamine residues of a protein become deamidated whereas other glutamine residues of the same protein become transamidated.
Whether a substrate is deamidated or transamidated can also be affected by the chemical environment (i.e. pH value). Analysis of the crystal structures also shows that the calcium concentration might impair the ratio of the linear (TG2a*) to the globular (TG2a) state, since the occupancy of calcium binding sites presumably does not allow the formation of the linear state. Consequently, with increasing calcium concentration the adoption of the globular state should be preferred. However, at this point it cannot be determined which influencing factor (substrate complementary or calcium concentration) plays the prominent role concerning the chemoselectivity.
Nevertheless, an investigation of the transamidation of FXIII substrates of different sizes by Siebenlist and co-workers shows that the higher the molecular weight the lower the calcium concentration which is required for substrate turnover. It appears that the calcium concentration is less mandatory in case of binding of macromolecular substrates to FXIII. This indicates that calcium shifts the equilibrium from the inactive state to a pre-active species where the catalytic center becomes exposed subsequently to a conformational change of the two β-barrel domains. Thus, at high calcium concentrations even low molecular weight substrates with minor affinity might bind to FXIII. At this point it should be mentioned that FXIII exists in the inactive state as a dimer and calcium might also shift the equilibrium between the dimeric and the monomeric state.
As already described, the substrate induces depending on its structural and chemical constitution the formation of the linear or globular active state. Reversely, also the present conformation of the active TG2 (TG2a* or TG2a) might determine which inhibitors are potently bound. If the hypothesis that the enzyme adopts the globular active state depending on certain influencing factors turns true, a potential inhibitor of the linear active state could exhibit a strikingly lower affinity in the organism under certain conditions as the in-vitro experiment suggested. Therefore, it might be useful to develop both, TG2-blockers active on the linear and the globular state. Consequently, drugs might result for diseases where the deamidase or the transamidase activity is disease relevant
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Git workflow for active learning - a development methodology proposal for data-centric AI projects
As soon as Artificial Intelligence (AI) projects grow from small feasibility studies to mature projects, developers and data scientists face new challenges, such as collaboration with other developers, versioning data, or traceability of model metrics and other resulting artifacts. This paper suggests a data-centric AI project with an Active Learning (AL) loop from a developer perspective and presents ”Git Workflow for AL”: A methodology proposal to guide teams on how to structure a project and solve implementation challenges. We introduce principles for data, code, as well as automation, and present a new branching workflow. The evaluation shows that the proposed method is an enabler for fulfilling established best practices
Using nonlinear model predictive control for dynamic decision problems in economics
Gruene L, Semmler W, Stieler M. Using nonlinear model predictive control for dynamic decision problems in economics. Journal of Economic Dynamics and Control. 2015;60:112-133.This paper presents a new approach to solve dynamic decision models in economics. The proposed procedure, called Nonlinear Model Predictive Control (NMPC), relies on the iterative solution of optimal control problems on finite time horizons and is well established in engineering applications for stabilization and tracking problems. Only quite recently, extensions to more general optimal control problems including those appearing in economic applications have been investigated. Like Dynamic Programming (DP), NMPC does not rely on linearization techniques but uses the full nonlinear model and in this sense provides a global solution to the problem. However, unlike DP, NMPC only computes one optimal trajectory at a time, thus avoids to grid the state space and for this reason the computational demand grows much more moderately with the space dimension than for DP. In this paper we explain the basic idea of NMPC, give a proof concerning the accuracy of NMPC for discounted optimal control problems, present implementational details, and demonstrate the ability of NMPC to solve dynamic decision problems in economics by solving low and high dimensional examples, including models with multiple equilibria, tracking and stochastic problems. (C) 2015 Elsevier B.V. All rights reserved
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