@article{EisenhardtSprengerRoeringetal.2016,
  author    = {Eisenhardt, Anja E. and Sprenger, Adrian and R{\"o}ring, Michael and Herr, Ricarda and Weinberg, Florian and K{\"o}hler, Martin and Braun, Sandra and Orth, Joachim and Diedrich, Britta and Lanner, Ulrike and Tscherwinski, Natalja and Schuster, Simon and Dumaz, Nicolas and Schmidt, Enrico and Baumeister, Ralf and Schlosser, Andreas and Dengjel, J{\"o}rn and Brummer, Tilman},
  title     = {Phospho-proteomic analyses of B-Raf protein complexes reveal new regulatory principles},
  series = {Oncotarget},
  volume    = {7},
  journal   = {Oncotarget},
  number    = {18},
  doi       = {10.18632/oncotarget.8427},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-166529},
  pages     = {26628-26652},
  year      = {2016},
  abstract  = {B-Raf represents a critical physiological regulator of the Ras/RAF/MEK/ERK-pathway and a pharmacological target of growing clinical relevance, in particular in oncology. To understand how B-Raf itself is regulated, we combined mass spectrometry with genetic approaches to map its interactome in MCF-10A cells as well as in B-Raf deficient murine embryonic fibroblasts (MEFs) and B-Raf/Raf-1 double deficient DT40 lymphoma cells complemented with wildtype or mutant B-Raf expression vectors. Using a multi-protease digestion approach, we identified a novel ubiquitination site and provide a detailed B-Raf phospho-map. Importantly, we identify two evolutionary conserved phosphorylation clusters around T401 and S419 in the B-Raf hinge region. SILAC labelling and genetic/biochemical follow-up revealed that these clusters are phosphorylated in the contexts of oncogenic Ras, sorafenib induced Raf dimerization and in the background of the V600E mutation. We further show that the vemurafenib sensitive phosphorylation of the T401 cluster occurs in trans within a Raf dimer. Substitution of the Ser/Thr-residues of this cluster by alanine residues enhances the transforming potential of B-Raf, indicating that these phosphorylation sites suppress its signaling output. Moreover, several B-Raf phosphorylation sites, including T401 and S419, are somatically mutated in tumors, further illustrating the importance of phosphorylation for the regulation of this kinase.},
  language  = {en}
}
@article{BaumeisterStrifflerBrandtetal.2016,
  author    = {Baumeister, Joachim and Striffler, Albrecht and Brandt, Marc and Neumann, Michael},
  title     = {Collaborative Decision Support and Documentation in Chemical Safety with KnowSEC},
  series = {Journal of Cheminformatics},
  volume    = {8},
  journal   = {Journal of Cheminformatics},
  number    = {21},
  doi       = {10.1186/s13321-016-0132-8},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-146575},
  year      = {2016},
  abstract  = {To protect the health of human and environment, the European Union implemented the REACH regulation for chemical substances. REACH is an acronym for Registration, Evaluation, Authorization, and Restriction of Chemicals. Under REACH, the authorities have the task of assessing chemical substances, especially those that might pose a risk to human health or environment. The work under REACH is scientifically, technically and procedurally a complex and knowledge-intensive task that is jointly performed by the European Chemicals Agency and member state authorities in Europe. The assessment of substances under REACH conducted in the German Environment Agency is supported by the knowledge-based system KnowSEC, which is used for the screening, documentation, and decision support when working on chemical substances. The software KnowSEC integrates advanced semantic technologies and strong problem solving methods. It allows for the collaborative work on substances in the context of the European REACH regulation. We discuss the applied methods and process models and we report on experiences with the implementation and use of the system.},
  language  = {en}
}
@phdthesis{Baumeister2004,
  author    = {Baumeister, Joachim},
  title     = {Agile development of diagnostic knowledge systems},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-9698},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2004},
  abstract  = {The success of diagnostic knowledge systems has been proved over the last decades. Nowadays, intelligent systems are embedded in machines within various domains or are used in interaction with a user for solving problems. However, although such systems have been applied very successfully the development of a knowledge system is still a critical issue. Similarly to projects dealing with customized software at a highly innovative level a precise specification often cannot be given in advance. Moreover, necessary requirements of the knowledge system can be defined not until the project has been started or are changing during the development phase. Many success factors depend on the feedback given by users, which can be provided if preliminary demonstrations of the system can be delivered as soon as possible, e.g., for interactive systems validation the duration of the system dialog. This thesis motivates that classical, document-centered approaches cannot be applied in such a setting. We cope with this problem by introducing an agile process model for developing diagnostic knowledge systems, mainly inspired by the ideas of the eXtreme Programming methodology known in software engineering. The main aim of the presented work is to simplify the engineering process for domain specialists formalizing the knowledge themselves. The engineering process is supported at a primary level by the introduction of knowledge containers, that define an organized view of knowledge contained in the system. Consequently, we provide structured procedures as a recommendation for filling these containers. The actual knowledge is acquired and formalized right from start, and the integration to runnable knowledge systems is done continuously in order to allow for an early and concrete feedback. In contrast to related prototyping approaches the validity and maintainability of the collected knowledge is ensured by appropriate test methods and restructuring techniques, respectively. Additionally, we propose learning methods to support the knowledge acquisition process sufficiently. The practical significance of the process model strongly depends on the available tools supporting the application of the process model. We present the system family d3web and especially the system d3web.KnowME as a highly integrated development environment for diagnostic knowledge systems. The process model and its activities, respectively, are evaluated in two real life applications: in a medical and in an environmental project the benefits of the agile development are clearly demonstrated.},
  language  = {en}
}