| From extraction of local structures of protein energy landscapes to improved decoy selection in template-free protein structure prediction N Akhter, A Shehu Molecules 23 (1), 216, 2018 | 37 | 2018 |
| Simulation and performance analysis of adaptive filtering algorithms in noise cancellation L Ferdouse, N Akhter, TH Nipa, FT Jaigirdar arXiv preprint arXiv:1104.1962, 2011 | 37 | 2011 |
| An energy landscape treatment of decoy selection in template-free protein structure prediction N Akhter, W Qiao, A Shehu Computation 6 (2), 39, 2018 | 19 | 2018 |
| Graph-based community detection for decoy selection in template-free protein structure prediction KL Kabir, L Hassan, Z Rajabi, N Akhter, A Shehu Molecules 24 (5), 854, 2019 | 18 | 2019 |
| From mutations to mechanisms and dysfunction via computation and mining of protein energy landscapes W Qiao, N Akhter, X Fang, T Maximova, E Plaku, A Shehu BMC genomics 19, 1-13, 2018 | 15 | 2018 |
| Non-negative matrix factorization for selection of near-native protein tertiary structures N Akhter, R Vangara, G Chennupati, BS Alexandrov, H Djidjev, A Shehu 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 12 | 2019 |
| Unsupervised and supervised learning over the energy landscape for protein decoy selection N Akhter, G Chennupati, KL Kabir, H Djidjev, A Shehu Biomolecules 9 (10), 607, 2019 | 10 | 2019 |
| From molecular energy landscapes to equilibrium dynamics via landscape analysis and markov state models KL Kabir, N Akhter, A Shehu Journal of bioinformatics and computational biology 17 (06), 1940014, 2019 | 9 | 2019 |
| Decoy selection for protein structure prediction via extreme gradient boosting and ranking N Akhter, G Chennupati, H Djidjev, A Shehu BMC bioinformatics 21, 1-21, 2020 | 7 | 2020 |
| Improved protein decoy selection via non-negative matrix factorization N Akhter, KL Kabir, G Chennupati, R Vangara, BS Alexandrov, H Djidjev, ... IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (3 …, 2021 | 6 | 2021 |
| Community detection for decoy selection in template-free protein structure prediction L Hassan, Z Rajabi, N Akhter, A Shehu Proceedings of the 2018 ACM International Conference on Bioinformatics …, 2018 | 6 | 2018 |
| Deep ranking in template-free protein structure prediction X Chen, N Akhter, Z Guo, T Wu, J Hou, A Shehu, J Cheng Proceedings of the 11th ACM international conference on bioinformatics …, 2020 | 5 | 2020 |
| Learning organizations of protein energy landscapes: An application on decoy selection in template-free protein structure prediction N Akhter, L Hassan, Z Rajabi, D Barbará, A Shehu Protein Supersecondary Structures: Methods and Protocols, 147-171, 2019 | 5 | 2019 |
| A performance analysis of lms, rls and lattice based algorithms as applied to the area of linear prediction N Akhter Journal of Global Research in Computer Science 1 (5), 2010 | 5 | 2010 |
| Connecting molecular energy landscape analysis with markov model-based analysis of equilibrium structural dynamics KL Kabir, N Akhter, A Shehu Proceedings of 11th International Conference on Bioinformatics and …, 2019 | 4 | 2019 |
| Unsupervised learning of conformational states present in molecular dynamics simulation data for summarization of equilibrium conformational dynamics KL Kabir, N Akhter, A Shehu Biophysical Journal 116 (3), 291a-292a, 2019 | 3 | 2019 |
| Reconstructing and decomposing protein energy landscapes to organize structure spaces and reveal biologically-active states N Akhter, J Lei, W Qiao, A Shehu 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 3 | 2018 |
| Improved decoy selection via machine learning and ranking N Akhter, G Chennupati, H Djidjev, A Shehu 2018 IEEE 8th International Conference on Computational Advances in Bio and …, 2018 | 3 | 2018 |
| Forecasting gang homicides with multi-level multi-task learning N Akhter, L Zhao, D Arias, H Rangwala, N Ramakrishnan Social, Cultural, and Behavioral Modeling: 11th International Conference …, 2018 | 3 | 2018 |
| Reconstruction and decomposition of high-dimensional landscapes via unsupervised learning J Lei, N Akhter, W Qiao, A Shehu Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 2 | 2020 |
