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Forschungsinterressen
- Proteinstrukturvorhersage
- Protein Klassifizierung/ Homologiesuche
- Machinelles Lernen
Lebenslauf
- 03/2013-heute
Wissenschaftlicher Mitarbeiter im Robotics & Biology Lab, TU Berlin (Prof. Oliver Brock). - 11/2012
Master Sc. in Informatik mit Schwerpunkt Intelligente Systeme an der Technische Universität Berlin. - 02/2011-12/2011
Studentische Hilfskraft Neuronale Informationsverarbeitung Gruppe, Technische Universität Berlin (Prof. Klaus Obermayer). - 09/2009-08/2010
Austauschstudent an der Shanghai Jiaotong University (TU-Berlin Stipendium) - 03/2010
Bachelor Sc. in Informatik an der Technische Universität Berlin. - 04/2009-08/2009
Studentische Hilfskraft Daimler Center for Automotive Information Technology Innovations, Technische Universität Berlin
Publikationen
| Zitatschlüssel | Mabrouk-et-al2015 |
|---|---|
| Autor | Mahmoud Mabrouk and Ines Putz and Tim Werner and Michael Schneider and Moritz Neeb and Philipp Bartels and Oliver Brock |
| Seiten | W343-W348 |
| Jahr | 2015 |
| DOI | 10.1093/nar/gkv357 |
| Journal | Nucleic Acids Research |
| Jahrgang | 43 (W1) |
| Monat | April |
| Notiz | http://www.robotics.tu-berlin.de/fileadmin/fg170/Publikationen_pdf/NuclAcids2015Mabrouk.pdf |
| Zusammenfassung | RBO Aleph is a novel protein structure prediction web server for template-based modeling, protein contact prediction and ab initio structure prediction. The server has a strong emphasis on modeling difficult protein targets for which templates cannot be detected. RBO Aleph's unique features are (i) the use of combined evolutionary and physicochemical information to perform residue–residue contact prediction and (ii) leveraging this contact information effectively in conformational space search. RBO Aleph emerged as one of the leading approaches to ab initio protein structure prediction and contact prediction during the most recent Critical Assessment of Protein Structure Prediction experiment (CASP11, 2014). In addition to RBO Aleph's main focus on ab initio modeling, the server also provides state-of-the-art template-based modeling services. Based on template availability, RBO Aleph switches automatically between template-based modeling and ab initio prediction based on the target protein sequence, facilitating use especially for non-expert users. The RBO Aleph web server offers a range of tools for visualization and data analysis, such as the visualization of predicted models, predicted contacts and the estimated prediction error along the model's backbone. The server is accessible at http://compbio.robotics.tu-berlin.de/rbo_aleph/. |