Mabrouk Mahmoud, Putz Ines, Werner Tim, Schneider Michael, Neeb Moritz, Bartels Philipp, Brock Oliver
Robotics and Biology Laboratory, Department of Electrical Engineering and Computer Science, Technische Universität Berlin, Marchstraße 23, 10587 Berlin, Germany.
Robotics and Biology Laboratory, Department of Electrical Engineering and Computer Science, Technische Universität Berlin, Marchstraße 23, 10587 Berlin, Germany
Nucleic Acids Res. 2015 Jul 1;43(W1):W343-8. doi: 10.1093/nar/gkv357. Epub 2015 Apr 20.
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/.
RBO Aleph是一个新颖的蛋白质结构预测网络服务器,用于基于模板的建模、蛋白质接触预测和从头结构预测。该服务器特别侧重于对难以检测到模板的蛋白质目标进行建模。RBO Aleph的独特之处在于:(i)使用进化信息和物理化学信息相结合的方法来进行残基-残基接触预测;(ii)在构象空间搜索中有效地利用这些接触信息。在最近的蛋白质结构预测关键评估实验(2014年的CASP11)中,RBO Aleph成为从头蛋白质结构预测和接触预测的领先方法之一。除了主要专注于从头建模外,该服务器还提供基于模板的最新建模服务。根据模板的可用性,RBO Aleph会根据目标蛋白质序列在基于模板的建模和从头预测之间自动切换,这特别便于非专业用户使用。RBO Aleph网络服务器提供了一系列用于可视化和数据分析的工具,例如预测模型的可视化、预测的接触以及沿模型主链估计的预测误差。可通过http://compbio.robotics.tu-berlin.de/rbo_aleph/访问该服务器。