Team

Source: HMGU

Dr. Stefan Brandmaier
Scientist

Phone: +49 89 3187-4726
E-mail
Building/Room: 3533/233


Academic education

03/2009 - 12/2013: PhD student at Wissenschaftliches Zentrum Weihenstephan, Technische Universität München
09/2002 - 09/2008: Studies of bioinformatics at the TU and LMU, Munich, diploma passed with distinction
09/1998 - 03/2002: Studies of human medicine at LMU, Munich


Working experience

    • 03/2014 - present: Scientist at the Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München
    • 01/2013 - 01/ 2014: Scientist at the Institute of Structural Biology, Helmholtz Zentrum München
    • 09/2012 - 01/2013: Marie-Curie-fellowship at the Linnaeus University in Kalmar, Sweden
    • 02/2008 - 04/2008: Student Researcher at Wissenschaftszentrum Weihenstephan, Lehrstuhl für Genomorientierte Bioinformatik (Gene expression data analysis)
    • 04/2005 - 12/2005: Student researcher at the Institut für Informatik of the LMU, LFE Bioinformatik (text mining, machine-learning-application)
    • 05/2000 - 05/2003: Employment at the Medical Clinic of Munich Center (MKI)
    • 03/2000 - 04/ 2000: Internship at the MKI, gastroenterology


    Awards

    First Pass winner of the ICANN/Cadaster Environmental Toxicity Prediction Challenge


    Research interests

    My research interest focusses on the application of statistical methods and bioinformatical techniques  to omics data. In particular drug target discovery for cardiovascular diseases and the early detection of type 2 diabetes are subject to my studies.


    Publications

    1. Adam J, Brandmaier S, Troll M, Rotter M, Mohney RP, Heier M, Adamski J, Li Y, Neschen S, Kastenmüller G, Suhre K, Ankerst D, Meitinger T, Wang-Sattler R. Response to Comment on Adam et al. Metformin Effect on Nontargeted Metabolite Profiles in Patients With Type 2 Diabetes and in Multiple Murine Tissues. Diabetes 2016;65:3776-3785. Diabetes. 2017, 66.

    2. Rotter M, Brandmaier S, Prehn C, Adam J, Rabstein S, Gawrych K, Brüning T, Illig T, Lickert H, Adamski J, Wang-Sattler R. Stability of targeted metabolite profiles of urine samples under different storage conditions. Metabolomics. 2017, 13:4.

    3. Nowak C, Salihovic S, Ganna A, Brandmaier S, Tukiainen T, Broeckling CD, Magnusson PK, Prenni J, Wang-Sattler R, Peters A, Strauch K, Meitinger T, Giedraitis V, Ärnlöv J, Berne C, Gieger C, Ripatti S, Lind L, Pedersen NL, Sundström J, Ingelsson E, Fall T. Effect of Insulin Resistance on Monounsaturated Fatty Acid Levels: A Multi-Cohort Non-Targeted Metabolomics and Mendelian Randomization Study. PLOS Genetics. 2016, 12(10):e1006379.

    4. Adam J, Brandmaier S, Leonhardt J, Scheerer MF, Mohney RP, Xu T, Bi J, Rotter M, Troll M, Chi S, Heier M, Herder C, Rathmann W, Giani G, Adamski J, Illig T, Strauch K, Li Y, Gieger C, Peters A, Suhre K, Ankerst D, Meitinger T, Hrabe de Angelis M, Roden M, Neschen S, Kastenmüller G, Wang-Sattler R. Metformin Effect on Non-Targeted Metabolite Profiles in Patients with Type 2 Diabetes and Multiple Murine Tissues. Diabetes. 2016, 65:3776–3785.
    5. Fall T, Salihovic S, Brandmaier S, Nowak C, Ganna A, Gustafsson S, Broeckling CD, Prenni JE, Kastenmüller G, Peters A, Magnusson PK, Wang-Sattler R, Giedraitis V, Berne C, Gieger C, Pedersen NL, Ingelsson E, Lind L. Non-targeted metabolomics combined with genetic analyses identifies bile acid synthesis and phospholipid metabolism as being associated with incident type 2 diabetes. Diabetologia. 2016, 59 (10) pp 2114-24.

    6. Pirovano A, Brandmaier S, Huijbregts MA, Ragas AM, Veltman K, Hendriks AJ. QSARs for estimating intrinsic hepatic clearance of organic chemicals in humans. Environ Toxicol Pharmacol. 2016 42 pp 190-7.

    7. Brandmaier S, Xu T, Illig T, Suhre K, Adamski J, Wang-Sattler R. Response to Comment on Xu et al. Effects of Metformin on Metabolite Profiles and LDL Cholesterol in Patients With Type 2 Diabetes. Diabetes Care. 2015 38 (12) pp 216-7.

    8. Xu T, Brandmaier S, Messias AC, Herder C, Draisma HH, Demirkan A, Yu Z, Ried JS, Haller T, Heier M, Campillos M, Fobo G, Stark R, Holzapfel C, Adam J, Chi S, Rotter M, Panni T, Quante AS, He Y, Prehn C, Roemisch-Margl W, Kastenmüller G, Willemsen G, Pool R, Kasa K, van Dijk KW, Hankemeier T, Meisinger C, Thorand B, Ruepp A, Hrabé de Angelis M, Li Y, Wichmann HE, Stratmann B, Strauch K, Metspalu A, Gieger C, Suhre K, Adamski J, Illig T, Rathmann W, Roden M, Peters A, van Duijn CM, Boomsma DI, Meitinger T, Wang-Sattler R. Effects of metformin on metabolite profiles and LDL cholesterol in patients with type 2 diabetes. Diabetes Care. 2015 38 (10) pp 1858-67.

    9. Abdelaziz A, Sushko Y, Novotarskyi S, Körner R, Brandmaier S, Tetko IV. Using Online Tool (iPrior) for Modeling ToxCast™ Assays Towards Prioritization of Animal Toxicity Testing. Comb. Chem. High Throughput Screen. 2015 18 (4) pp 420-38.

    10. Ly-Verdu S, Gröger T.M, Arteaga-Salas J.M, Brandmaier S, Kahle M, Neschen S, Harbe de Angelis M, Zimmermann R. Combining metabolomic non-targeted GC×GC–ToF–MS analysis and chemometric ASCA-based study of variances to assess dietary influence on type 2 diabetes development in a mouse model. Anal. Bioanal. Chem. 2015 407 (1) pp 343-354.

    11. Pirovano A, Brandmaier S, Huijbregts MAJ, Ragas AMJ, Veltman K, Hendriks AJ. The utilisation of structural descriptors to predict metabolic constants of xenobiotics in mammals. Environ. Toxicol. Phar. 2014 39 (1) pp 247-258.

    12. Tetko IV, Schramm KW, Knepper T, Peijnenburg WJGM, Hendriks AJ, Navas JM, Nicholls IA, Öberg T, Todeschini R, Schlosser E, Brandmaier S. Experimental and theoretical studies in the EU FP7 Marie Curie Initial Training Network Project Environmental ChemOinformatics (ECO). Atla Altern. Lab. Anim. 2014 42 (1) pp 7-11.

    13. Brandmaier S, Peijnenburg W, Kos Durjava M, Kolar B, Gramatica P, Papa E, Bhhatarai B, Kovarich S, Cassani S, D’Onofrio E, Rahmberg M, Öberg T, Jeliazkova N, Golsteijn L, Comber M, Ruggiu F, Novotarskyi S, Sushko I, Kunwar P, Abdelaziz A, Tetko IV. The QSPR-Thesaurus: The online platform of the CADASTER project. Atla Altern. Lab. Anim. 2014 42 (1) pp 13-24.

    14. Brandmaier S*, Tetko IV. Robustness in experimental design: A study on the reliability of selection approaches. Comput. Struct. Biotechnol. J. 2013 40 (1) pp 33-47. *Corresponding Author

    15. Brandmaier S*, Novotarskyi S, Sushko Y, Tetko IV. From Descriptors to Predicted Properties: Experimental Design by Using Applicability Domain Estimation. Atla Altern. Lab. Anim. 2013 41 33-47.

    16. Tetko IV, Sopasakis P, Kunwar P, Brandmaier S, Novotarskyi S, Charochkina L, Prokopenko V, Peijnenburg WJGM. Prioritisation of Polybrominated Diphenyl Ethers (PBDEs) by Using the QSPR-THESAURUS Web Tool. Atla Altern. Lab. Anim. 2013 41 127-135.

    17. Cassani S, Kovarich S, Papa E, Roy PP, Rahmberg M, Nilsson S, Sahlin U, Jeliazkova N, Kochev N, Pukalov O, Tetko IV, Brandmaier S, Kos Durjava M, Kolar B, Peijnenburg W, Gramatica P. Evaluation of CADASTER QSAR Models for the Aquatic Toxicity of (Benzo)triazoles and Prioritisation by Consensus Prediction. Atla Altern. Lab. Anim. 2013 41 49-64.

    18. Brandmaier S*, Tetko IV, Öberg T. An evaluation of experimental design in QSAR modelling utilizing the k-medoid clustering. J. Chemom. 2012 26 509-517.

    19. Brandmaier S*, Sahlin U, Tetko IV, Öberg T. PLS-Optimal: A Stepwise D-Optimal Design Based on Latent Variables. J. Chem. Inf. Model. 2012 52 975-983.

    20. Sushko I, Novotarskyi S, Körner R, Pandey AK, Rupp M, Teetz W, Brandmaier S, Abdelaziz A, Prokopenko VV, Tanchuk VY, Todeschini R, Varnek A, Marcou G, Ertl P, Potemkin V, Grishina M, Gasteiger J, Schwab C, Baskin II, Palyulin VA, Radchenko EV, Welsh WJ, Kholodovych V, Chekmarev D, Cherkasov A, Aires-de-Sousa J, Zhang QY, Bender A, Nigsch F, Patiny L, Williams A, Tkachenko V, Tetko IV. Online chemical modeling environment (OCHEM): web platform for data storage model development and publishing of chemical information. J. Comput. Aided Mol. Des. 2011 25 533-554.

    21. Arnold R, Brandmaier S, Kleine F, Tischler P, Heinz E, Behrens S, Niinikoski A, Mewes HW, Horn M, Rattei T. Sequence-Based Prediction of Type III Secreted Proteins. Plos Pathog. 2009 5 e1000376.