A comprehensive study in PAT-applications for a QbD-compliant development of continuous biopharmaceutical production

The development of continuously operated integrated pharmaceutical production processes needs a tremendous expenditure. Beside the installation of a full-scale production, scale-down concepts are essential to meet the QbD-specifications of the FDA. In this presentation the surrounding PAT-field of such a plant for production of potential Malaria vaccines (shown in ICB I and ICB II) is discussed in order to create model based QbD-compliant strategies. This includes fully automated processing, global process monitoring with additional classical and spectroscopic measurement procedures including enhanced data processing and MVDA. A full-scope model of the plant allows an in-silico development of process control. The two-stage upstream line is scaled-down in a sixfold sequential/parallel operated bioreactor plant including flow analysis at-line measurements for substrates- and target protein-detection. This plant allows a fully automated simultaneous DoE-process optimization and identification of CPP-Critical Process Parameters. The DoE-model and Monte Carlo simulations create also the Design Space and the Control Space of QbD-production. Similar methods are used in the down-stream area for optimization of cyclic protein purification. These methods are applied with an AEKTAT avant which is developed especially for DoE. The main focus of the work lies on the development of a global MVDA-based monitoring system for biotechnological variables like cell mass, glycerol-, ammonium-, total secreted-, and target protein-concentration but also on the evaluation of process quality (reproducibility) of the running processes. Applications of NIR-, Raman-, and 2D-Fluorescence-Spectroscopy and the appropriate PLSR-modeling leads to a partly success. This was improved by using the nonlinear SVR-Support Vector-machine Regression. However, a MVDA-application with only classical process variables from agitation, aeration, temperature, feeding, pH, pO2, and process balances creates astonishing results in a satisfying bio-monitoring up to the on-line detection of the secreted target protein concentration. The quality of running processes was evaluated with a GB-Golden Batch approach. The GB-tunnel was created with data from QbD-conformed process courses and then used for an on-line observation and prediction of actual first principal components. A MPC-Model Predictive Control was also implemented in order to avoid a leaving of the GB-tunnel by correction of process set-points. These methods open the way to an on-line release of pharmaceutical products

Monitoring and control of reproducibility in quasi-continuous integrated production processes of Active Pharmaceutical Ingredients

The development of integrated production processes include the combination and transformation of current batch oriented unit operations into linked sequential/parallel production strategies. The presented process starts with a two-stage upstream consisting of cell cultivation and subsequent protein production, which in turn results in a five step downstream process, consisting of cell clarification via a separator, retention of cellular debris using microfiltration, concentration of the secreted product by ultrafiltration with subsequent buffer exchange through diafiltration, followed by a final purification using column chromatography. The three main operations cell breeding, protein production and the complete downstream line are running in series, but also in parallel with a one-day-offset each. Such strategies were developed at HAW Hamburg [Luttmann et al., 2015]. To achieve reproducible process conditions, the process development was done in accordance with the known industry guidelines from FDA and ICH regarding QbD and PAT. In this context the identification of optimal Design Spaces and Control Spaces was in the foreground. The in-line measurement of important media components and cell physiological parameters as well as the on-line evaluation of process reproducibility, are remaining unsolved problems in industrial biotechnology - irrespective of whether a process is operated batch wise or continuously. A way out of this dilemma can be found by on-line MVDA data processing. This paper describes a comprehensive application of MVDA in process monitoring and control using the example of an integrated production of potential Malaria vaccines with Pichia pastoris. Cell mass, glycerol and secreted target proteins as well as cell internal AOX content are measured with NIR-, Raman- and 2D-Fluorescence-spectrometry. Here, intensive off-line analysis of the concerned process variables form the foundation for the training of spectral observations as well as for the evaluation of cell specific reaction rates from routinely measured on-line variables with MVDA-investigations. The main approach of MVDA was an on-line monitoring of reproducibility of involved unit operations. This was achieved by off-line modeling of Golden Batch tunnels and on-line evaluation of the process trajectories using SIPAT® and SIMCA® software tools. On top of this, on-line process prediction and on-line Golden Batch control were implemented. The prediction is based on IBR-Imputation by Regression (SIMCA® Q) and the control of processes evolving outside their Golden Batch limitations is based on BOBYQA-Bound Optimization by Quadratic Approximation (SIMCA® online). Such methods for process monitoring and control of quasi continuous pharmaceutical production pave the way for Real Time Release of APIs. All approaches have been approved and tested in real industrial-like production processes which have been performed over several weeks

A Review on the Customer Role in Smart Service Co-Creation

In the course of digital servitization and the introduction of smart services, the provider-customer relationship in manufacturing industries is changing. The cooperation between providers and customers, which is also referred to as co-creation in research, can have a positive impact on the value creation of both parties in the various development phases of smart service. Co-creation is understood as a two-way communication in which providers and customers can exchange their resources, for example in the form of knowledge and skills. However, so far research has focused on the role of the provider in this constellation. Through a systematic literature review, this article examines the role of customers within industrial smart services. Four core areas could be identified within co-creation. These are discussed in the context of existing paradoxes and it is shown that the customer perspective should be given equal consideration in future research

A cytosolic disulfide bridge‐supported dimerization is crucial for stability and cellular distribution of Coxsackievirus B3 protein 3A

RNA viruses in the Picornaviridae family express a large 250 kDa viral polyprotein that is processed by virus-encoded proteinases into mature functional proteins with specific functions for virus replication. One of these proteins is the highly conserved enteroviral transmembrane protein 3A that assists in reorganizing cellular membranes associated with the Golgi apparatus. Here, we studied the molecular properties of the Coxsackievirus B3 (CVB3) protein 3A with regard to its dimerization and its functional stability. By applying mutational analysis and biochemical characterization, we demonstrate that protein 3A forms DTT-sensitive disulfide-linked dimers via a conserved cytosolic cysteine residue at position 38 (Cys38). Homodimerization of CVB3 protein 3A via Cys38 leads to profound stabilization of the protein, whereas a C38A mutation promotes a rapid proteasome-dependent elimination of its monomeric form. The lysosomotropic agent chloroquine (CQ) exerted only minor stabilizing effects on the 3A monomer but resulted in enrichment of the homodimer. Our experimental data demonstrate that disulfide linkages via a highly conserved Cys-residue in enteroviral protein 3A have an important role in the dimerization of this viral protein, thereby preserving its stability and functional integrity

The pregnant man: race, difference and subjectivity in Alan Paton’s Kalahari writing

In South African imaginative writing and scholarly research, there is currently an extensive and wide-ranging interest in the ‘Bushman’, either as a tragic figure of colonial history, as a contested site of misrepresentation, or even as an exemplary model of environmental consciousness. Writing and research about ‘Bushmen’ has not only become pervasive in the academy, but also a site of controversy and theoretical contestation. It is in this context that this paper investigates the meaning and significance of ‘Bushmen’ for Alan Paton, one of South Africa’s most well-known writers. Paton’s writing is not usually associated with ‘Bushman’ studies, yet this article shows that the ‘Bushman’ became a highly charged and ambivalent figure in his imagination. Paton’s problematic ideas are contextualised more carefully by looking at the broader context of South African letters. The article initially analyses Paton’s representation of ‘Bushmen’ in his Lost City of the Kalahari travel narrative (1956, published in 2005. Pietermaritzburg: KZN Press), and also discusses unpublished archival photographs. A study of the figure of the ‘Bushman’ throughout the entire corpus of his writing, ranging from early journalism to late autobiography, allows us to trace the shift of his views, enabling us to reflect not only on Paton’s thinking about racial otherness, but also gauge the extent to which his encounter with the Kalahari Bushmen destabilised his sense of self, finally also preventing the publication of the travelogueDepartment of HE and Training approved lis

A Roadmap for HEP Software and Computing R&D for the 2020s

Particle physics has an ambitious and broad experimental programme for the coming decades. This programme requires large investments in detector hardware, either to build new facilities and experiments, or to upgrade existing ones. Similarly, it requires commensurate investment in the R&D of software to acquire, manage, process, and analyse the shear amounts of data to be recorded. In planning for the HL-LHC in particular, it is critical that all of the collaborating stakeholders agree on the software goals and priorities, and that the efforts complement each other. In this spirit, this white paper describes the R&D activities required to prepare for this software upgrade.Peer reviewe

Search for dark matter produced in association with bottom or top quarks in √s = 13 TeV pp collisions with the ATLAS detector

A search for weakly interacting massive particle dark matter produced in association with bottom or top quarks is presented. Final states containing third-generation quarks and miss- ing transverse momentum are considered. The analysis uses 36.1 fb−1 of proton–proton collision data recorded by the ATLAS experiment at √s = 13 TeV in 2015 and 2016. No significant excess of events above the estimated backgrounds is observed. The results are in- terpreted in the framework of simplified models of spin-0 dark-matter mediators. For colour- neutral spin-0 mediators produced in association with top quarks and decaying into a pair of dark-matter particles, mediator masses below 50 GeV are excluded assuming a dark-matter candidate mass of 1 GeV and unitary couplings. For scalar and pseudoscalar mediators produced in association with bottom quarks, the search sets limits on the production cross- section of 300 times the predicted rate for mediators with masses between 10 and 50 GeV and assuming a dark-matter mass of 1 GeV and unitary coupling. Constraints on colour- charged scalar simplified models are also presented. Assuming a dark-matter particle mass of 35 GeV, mediator particles with mass below 1.1 TeV are excluded for couplings yielding a dark-matter relic density consistent with measurements

AI is a viable alternative to high throughput screening: a 318-target study

: High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, high-quality X-ray crystal structures, or manual cherry-picking of compounds. We show that the molecules selected by the AtomNet® model are novel drug-like scaffolds rather than minor modifications to known bioactive compounds. Our empirical results suggest that computational methods can substantially replace HTS as the first step of small-molecule drug discovery

Ten golden rules for optimal antibiotic use in hospital settings: the WARNING call to action

Antibiotics are recognized widely for their benefits when used appropriately. However, they are often used inappropriately despite the importance of responsible use within good clinical practice. Effective antibiotic treatment is an essential component of universal healthcare, and it is a global responsibility to ensure appropriate use. Currently, pharmaceutical companies have little incentive to develop new antibiotics due to scientific, regulatory, and financial barriers, further emphasizing the importance of appropriate antibiotic use. To address this issue, the Global Alliance for Infections in Surgery established an international multidisciplinary task force of 295 experts from 115 countries with different backgrounds. The task force developed a position statement called WARNING (Worldwide Antimicrobial Resistance National/International Network Group) aimed at raising awareness of antimicrobial resistance and improving antibiotic prescribing practices worldwide. The statement outlined is 10 axioms, or “golden rules,” for the appropriate use of antibiotics that all healthcare workers should consistently adhere in clinical practice

Measurement of the (eta c)(1S) production cross-section in proton-proton collisions via the decay (eta c)(1S) -> p(p)over-bar

The production of the $\eta_c (1S)$ state in proton-proton collisions is probed via its decay to the $p \bar{p}$ final state with the LHCb detector, in the rapidity range $2.0 6.5$ GeV/c. The cross-section for prompt production of $\eta_c (1S)$ mesons relative to the prompt $J/\psi$ cross-section is measured, for the first time, to be $\sigma_{\eta_c (1S)}/\sigma_{J/\psi} = 1.74 \pm 0.29 \pm 0.28 \pm 0.18 _{B}$ at a centre-of-mass energy $\sqrt{s} = 7$ TeV using data corresponding to an integrated luminosity of 0.7 fb$^{-1}$, and $\sigma_{\eta_c (1S)}/\sigma_{J/\psi} = 1.60 \pm 0.29 \pm 0.25 \pm 0.17 _{B}$ at $\sqrt{s} = 8$ TeV using 2.0 fb$^{-1}$. The uncertainties quoted are, in order, statistical, systematic, and that on the ratio of branching fractions of the $\eta_c (1S)$ and $J/\psi$ decays to the $p \bar{p}$ final state. In addition, the inclusive branching fraction of $b$-hadron decays into $\eta_c (1S)$ mesons is measured, for the first time, to be $B ( b \rightarrow \eta_c X ) = (4.88 \pm 0.64 \pm 0.25 \pm 0.67 _{B}) \times 10^{-3}$, where the third uncertainty includes also the uncertainty on the $J/\psi$ inclusive branching fraction from $b$-hadron decays. The difference between the $J/\psi$ and $\eta_c (1S)$ meson masses is determined to be $114.7 \pm 1.5 \pm 0.1$ MeV/c$^2$.The production of the $\eta _c (1S)$ state in proton-proton collisions is probed via its decay to the $p\overline{p}$ final state with the LHCb detector, in the rapidity range $2.0 6.5 \mathrm{{\,GeV/}{ c}}$ . The cross-section for prompt production of $\eta _c (1S)$ mesons relative to the prompt ${{ J}}/{\psi }$ cross-section is measured, for the first time, to be $\sigma _{\eta _c (1S)}/\sigma _{{{{ J}}/{\psi }}} = 1.74\, \pm \,0.29\, \pm \, 0.28\, \pm \,0.18 _{{\mathcal{B}}}$ at a centre-of-mass energy ${\sqrt{s}} = 7 {~\mathrm{TeV}}$ using data corresponding to an integrated luminosity of 0.7 fb$^{-1}$ , and $\sigma _{\eta _c (1S)}/\sigma _{{{{ J}}/{\psi }}} = 1.60 \pm 0.29 \pm 0.25 \pm 0.17 _{{\mathcal{B}}}$ at ${\sqrt{s}} = 8 {~\mathrm{TeV}}$ using 2.0 fb$^{-1}$ . The uncertainties quoted are, in order, statistical, systematic, and that on the ratio of branching fractions of the $\eta _c (1S)$ and ${{ J}}/{\psi }$ decays to the $p\overline{p}$ final state. In addition, the inclusive branching fraction of ${b}$ -hadron decays into $\eta _c (1S)$ mesons is measured, for the first time, to be ${\mathcal{B}}( b {\rightarrow } \eta _c X ) = (4.88\, \pm \,0.64\, \pm \,0.29\, \pm \, 0.67 _{{\mathcal{B}}}) \times 10^{-3}$ , where the third uncertainty includes also the uncertainty on the ${{ J}}/{\psi }$ inclusive branching fraction from ${b}$ -hadron decays. The difference between the ${{ J}}/{\psi }$ and $\eta _c (1S)$ meson masses is determined to be $114.7 \pm 1.5 \pm 0.1 {\mathrm {\,MeV\!/}c^2}$ .The production of the $\eta_c (1S)$ state in proton-proton collisions is probed via its decay to the $p \bar{p}$ final state with the LHCb detector, in the rapidity range $2.0 6.5$ GeV/c. The cross-section for prompt production of $\eta_c (1S)$ mesons relative to the prompt $J/\psi$ cross-section is measured, for the first time, to be $\sigma_{\eta_c (1S)}/\sigma_{J/\psi} = 1.74 \pm 0.29 \pm 0.28 \pm 0.18 _{B}$ at a centre-of-mass energy $\sqrt{s} = 7$ TeV using data corresponding to an integrated luminosity of 0.7 fb$^{-1}$, and $\sigma_{\eta_c (1S)}/\sigma_{J/\psi} = 1.60 \pm 0.29 \pm 0.25 \pm 0.17 _{B}$ at $\sqrt{s} = 8$ TeV using 2.0 fb$^{-1}$. The uncertainties quoted are, in order, statistical, systematic, and that on the ratio of branching fractions of the $\eta_c (1S)$ and $J/\psi$ decays to the $p \bar{p}$ final state. In addition, the inclusive branching fraction of $b$-hadron decays into $\eta_c (1S)$ mesons is measured, for the first time, to be $B ( b \rightarrow \eta_c X ) = (4.88 \pm 0.64 \pm 0.29 \pm 0.67 _{B}) \times 10^{-3}$, where the third uncertainty includes also the uncertainty on the $J/\psi$ inclusive branching fraction from $b$-hadron decays. The difference between the $J/\psi$ and $\eta_c (1S)$ meson masses is determined to be $114.7 \pm 1.5 \pm 0.1$ MeV/c$^2$