direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Inhalt des Dokuments

Mahmoud Mabrouk

Lupe



Raum: MAR 5.065
Telefon: +49.30.314-73118

Research interests

  • Ab initio Protein Structure Prediction
  • Hybrid Methods in Protein Structure Prediction
  • Protein Classification
  • Machine Learning

Curriculum Vitae

Publications

RBO Aleph: Leveraging Novel Information Sources for Protein Structure Prediction
Citation key Mabrouk-et-al2015
Author Mahmoud Mabrouk and Ines Putz and Tim Werner and Michael Schneider and Moritz Neeb and Philipp Bartels and Oliver Brock
Pages W343-W348
Year 2015
DOI 10.1093/nar/gkv357
Journal Nucleic Acids Research
Volume 43 (W1)
Month April
Note http://www.robotics.tu-berlin.de/fileadmin/fg170/Publikationen_pdf/NuclAcids2015Mabrouk.pdf
Abstract 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/.
Link to original publication Download Bibtex entry

Zusatzinformationen / Extras

Quick Access:

Schnellnavigation zur Seite über Nummerneingabe

Auxiliary Functions

Administration

Elizabeth Ball
Tel. +49 30 314-73 110
Fax +49 30 314-21 116
Raum MAR 5.032

Anschrift

TU Berlin
Fakultät IV
Sekretariat MAR 5-1
Marchstraße 23
10587 Berlin