Extensible and precise modeling for wireless sensor networks B Akbal-Delibas, P Boonma, J Suzuki International United Information Systems Conference, 551-562, 2009 | 50 | 2009 |
An evolutionary conservation-based method for refining and reranking protein complex structures B Akbal-Delibas, I Hashmi, A Shehu, N Haspel Journal of Bioinformatics and Computational Biology 10 (03), 1242002, 2012 | 24 | 2012 |
Guiding protein docking with geometric and evolutionary information I Hashmi, B Akbal-Delibas, N Haspel, A Shehu Journal of bioinformatics and computational biology 10 (03), 1242008, 2012 | 17 | 2012 |
An evolutionary conservation & rigidity analysis machine learning approach for detecting critical protein residues F Jagodzinski, B Akbal-Delibas, N Haspel Proceedings of the International Conference on Bioinformatics, Computational …, 2013 | 16 | 2013 |
Accurate refinement of docked protein complexes using evolutionary information and deep learning B Akbal-Delibas, R Farhoodi, M Pomplun, N Haspel Journal of Bioinformatics and Computational Biology 14 (03), 1642002, 2016 | 15 | 2016 |
Introduction to compiler construction in a Java world B Campbell, S Iyer, B Akbal-Delibas Chapman and Hall/CRC, 2012 | 15 | 2012 |
A conservation and rigidity based method for detecting critical protein residues B Akbal-Delibas, F Jagodzinski, N Haspel BMC structural biology 13, 1-11, 2013 | 13 | 2013 |
Protein docking with information on evolutionary conserved interfaces I Hashmi, B Akbal-Delibas, N Haspel, A Shehu 2011 IEEE International Conference on Bioinformatics and Biomedicine …, 2011 | 13 | 2011 |
A conservation and biophysics guided stochastic approach to refining docked multimeric proteins B Akbal-Delibas, N Haspel BMC structural biology 13, 1-10, 2013 | 12 | 2013 |
Refinement of docked protein complex structures using evolutionary traces B Akbal-Delibas, I Hashmi, A Shehu, N Haspel 2011 IEEE International Conference on Bioinformatics and Biomedicine …, 2011 | 10 | 2011 |
Accurmsd: A machine learning approach to predicting structure similarity of docked protein complexes B Akbal-Delibas, M Pomplun, N Haspel Proceedings of the 5th ACM Conference on Bioinformatics, Computational …, 2014 | 9 | 2014 |
Accurate prediction of docked protein structure similarity B Akbal-Delibas, M Pomplun, N Haspel Journal of Computational Biology 22 (9), 892-904, 2015 | 7 | 2015 |
Accurefiner: A machine learning guided refinement method for protein-protein docking B Akbal-Delibas, M Pomplun, N Haspel Proceedings of the 7th International Conference on Bioinformatics and …, 2015 | 7 | 2015 |
Accurate prediction of docked protein structure similarity using neural networks and restricted Boltzmann machines R Farhoodi, B Akbal-Delibas, N Haspel 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2015 | 6 | 2015 |
Refining multimeric protein complexes using conservation, electrostatics and probabilistic selection B Akbal-Delibas, N Haspel 2012 IEEE International Conference on Bioinformatics and Biomedicine …, 2012 | 3 | 2012 |
Towards a hybrid method for detecting critical protein residues B Akbal-Delibas, F Jagodzinski, N Haspel 2012 IEEE International Conference on Bioinformatics and Biomedicine …, 2012 | 2 | 2012 |
Machine learning approaches for predicting protein complex similarity R Farhoodi, B Akbal-Delibas, N Haspel Journal of Computational Biology 24 (1), 40-51, 2017 | 1 | 2017 |
Ranking Protein-Protein Binding Using Evolutionary Information and Machine Learning R Farhoodi, B Akbal-Delibas, N Haspel Proceedings of the 8th ACM International Conference on Bioinformatics …, 2017 | | 2017 |
An evolutionary-guided iterative refinement approach for protein multimers B Akbal-Delibas, N Haspel 2012 IEEE International Conference on Bioinformatics and Biomedicine …, 2012 | | 2012 |
Combining conservation and rigidity methods to detect critical residues in proteins B Akbal-Delibas, F Jagodziński, N Haspel 2012 IEEE International Conference on Bioinformatics and Biomedicine …, 2012 | | 2012 |