| Improving prediction of secondary structure, local backbone angles and solvent accessible surface area of proteins by iterative deep learning R Heffernan, K Paliwal, J Lyons, A Dehzangi, A Sharma, J Wang, A Sattar, ... Scientific reports 5 (1), 1-11, 2015 | 273 | 2015 |
| Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou׳ s general PseAAC A Dehzangi, R Heffernan, A Sharma, J Lyons, K Paliwal, A Sattar Journal of theoretical biology 364, 284-294, 2015 | 229 | 2015 |
| Local search with edge weighting and configuration checking heuristics for minimum vertex cover S Cai, K Su, A Sattar Artificial Intelligence 175 (9-10), 1672-1696, 2011 | 152 | 2011 |
| Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto‐encoder deep neural network J Lyons, A Dehzangi, R Heffernan, A Sharma, K Paliwal, A Sattar, Y Zhou, ... Journal of computational chemistry 35 (28), 2040-2046, 2014 | 127 | 2014 |
| INDu: An Interval & Duration Network AK Pujari, GV Kumari, A Sattar Australasian Joint Conference on Artificial Intelligence, 291-303, 1999 | 117 | 1999 |
| NuMVC: An efficient local search algorithm for minimum vertex cover S Cai, K Su, C Luo, A Sattar Journal of Artificial Intelligence Research 46, 687-716, 2013 | 113 | 2013 |
| Spider2: A package to predict secondary structure, accessible surface area, and main-chain torsional angles by deep neural networks Y Yang, R Heffernan, K Paliwal, J Lyons, A Dehzangi, A Sharma, J Wang, ... Prediction of protein secondary structure, 55-63, 2017 | 105 | 2017 |
| Twin removal in genetic algorithms for protein structure prediction using low-resolution model MT Hoque, M Chetty, A Lewis, A Sattar IEEE/ACM Transactions on Computational Biology and Bioinformatics 8 (1), 234-245, 2009 | 79 | 2009 |
| Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins R Heffernan, A Dehzangi, J Lyons, K Paliwal, A Sharma, J Wang, A Sattar, ... Bioinformatics 32 (6), 843-849, 2016 | 77 | 2016 |
| EASE-MM: sequence-based prediction of mutation-induced stability changes with feature-based multiple models L Folkman, B Stantic, A Sattar, Y Zhou Journal of molecular biology 428 (6), 1394-1405, 2016 | 75 | 2016 |
| Does hyaluronan have a role in endothelial cell proliferation of the synovium? A Sattar, S Kumar, DC West Seminars in arthritis and rheumatism 22 (1), 37-43, 1992 | 60 | 1992 |
| A combination of feature extraction methods with an ensemble of different classifiers for protein structural class prediction problem A Dehzangi, K Paliwal, A Sharma, O Dehzangi, A Sattar IEEE/ACM transactions on computational biology and bioinformatics 10 (3 …, 2013 | 59 | 2013 |
| Protein folding prediction in 3D FCC HP lattice model using genetic algorithm MT Hoque, M Chetty, A Sattar 2007 IEEE Congress on Evolutionary Computation, 4138-4145, 2007 | 58 | 2007 |
| Extended HP model for protein structure prediction T Hoque, M Chetty, A Sattar Journal of Computational Biology 16 (1), 85-103, 2009 | 57 | 2009 |
| Building Structure into Local Search for SAT. DN Pham, J Thornton, A Sattar IJCAI 7, 2359-2364, 2007 | 56 | 2007 |
| A trust management architecture for hierarchical wireless sensor networks J Zhang, R Shankaran, AO Mehmet, V Varadharajan, A Sattar IEEE Local Computer Network Conference, 264-267, 2010 | 50 | 2010 |
| Model Checking Temporal Logics of Knowledge Via OBDDs1 K Su, A Sattar, X Luo The Computer Journal 50 (4), 403-420, 2007 | 48 | 2007 |
| Changing conditional beliefs unconditionally AC Nayak, NY Foo, M Pagnucco, A Sattar TARK, 119-135, 1996 | 48 | 1996 |
| A defeasible logic for modelling policy-based intentions and motivational attitudes G Governatori, V Padmanabhan, A Rotolo, A Sattar Logic Journal of IGPL 17 (3), 227-265, 2009 | 47 | 2009 |
| SucStruct: prediction of succinylated lysine residues by using structural properties of amino acids Y López, A Dehzangi, SP Lal, G Taherzadeh, J Michaelson, A Sattar, ... Analytical biochemistry 527, 24-32, 2017 | 45 | 2017 |
