RBO Aleph, is a novel server for fully automated protein structure prediction developed at the Robotics and Biology Lab (RBO), Technische Universität Berlin. The server implements template-based modeling, protein contact prediction, and ab initio structure prediction.
It provides an intuitive interface to our protein structure prediction pipeline that is particularly easy-to-use also for non-expert users. The server automatically picks the most promising modeling method, template-based modeling or ab initio structure prediction, based on template availability. The user can analyze the prediction results directly in the web brower. The particular strength of RBO Aleph is the state-of-the-art ab initio prediction of hard protein targets for which templates cannot be detected.
This website is free for academic users only, commercial entities are required to obtain a license for the use of Rosetta here: https://els.comotion.uw.edu/
- M. Mabrouk, I. Putz, T. Werner, M .Schneider, M .Neeb, P. Bartels and O. Brock (2015). “RBO Aleph: Leveraging Novel Information Sources for Protein Structure Prediction“. Nucleic Acids Research, doi:10.1093/nar/gkv357. [PDF]
- M. Schneider and O. Brock (2014). “Combining Physicochemical and Evolutionary Information for Protein Contact Prediction“. PloS one 9.10: e108438. [PDF]
- TJ Brunette and O. Brock (2008). “Guiding conformation space search with an all atom energy potential“. Proteins 73, 958–972. [PDF]
- TJ Brunette and O. Brock (2005) . “Improving protein structure prediction with model-based search“. Bioinformatics 21(1): i66-i74. [PDF]
The development of RBO_Aleph server is supported by the Alexander von Humboldt professorship – awarded by the Alexander von Humboldt foundation and funded through the Ministry of Education and Research, BMBF,
July 2009 – June 2015
Please send us question, feedback, and comments to email@example.com.
Technische Universität Berlin
Robotics and Biology Laboratory (RBO)
Prof. Oliver Brock
Sekr. MAR 5-1