| 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), 11476, 2015 | 454 | 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 | 265 | 2015 |
| Neurological manifestations of COVID-19 (SARS-CoV-2): a review MU Ahmed, M Hanif, MJ Ali, MA Haider, D Kherani, GM Memon, AH Karim, ... Frontiers in neurology 11, 518, 2020 | 252 | 2020 |
| 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 | 218 | 2011 |
| 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 | 194 | 2017 |
| 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 | 192 | 2014 |
| 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 | 179 | 2013 |
| 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 | 139 | 2016 |
| INDu: An Interval & Duration Network AK Pujari, G Vijaya Kumari, A Sattar Australasian Joint Conference on Artificial Intelligence, 291-303, 1999 | 123 | 1999 |
| 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 | 115 | 2016 |
| Response of growth and yield of wheat to NPK fertilizer AL Malghani, AU Malik, A Sattar, F Hussain, G Abbas, J Hussain Sci. Int 24 (2), 185-189, 2010 | 113 | 2010 |
| A comparative study on network alignment techniques HT Trung, NT Toan, T Van Vinh, HT Dat, DC Thang, NQV Hung, A Sattar Expert Systems with Applications 140, 112883, 2020 | 94 | 2020 |
| PSSM-Suc: Accurately predicting succinylation using position specific scoring matrix into bigram for feature extraction A Dehzangi, Y López, SP Lal, G Taherzadeh, J Michaelson, A Sattar, ... Journal of theoretical biology 425, 97-102, 2017 | 86 | 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 | 82 | 2009 |
| Efficient toxicity prediction via simple features using shallow neural networks and decision trees A Karim, A Mishra, MAH Newton, A Sattar Acs Omega 4 (1), 1874-1888, 2019 | 78 | 2019 |
| 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 | 76 | 1992 |
| 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 | 70 | 2007 |
| 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 | 69 | 2013 |
| 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 | 69 | 2009 |
| DDIG-in: detecting disease-causing genetic variations due to frameshifting indels and nonsense mutations employing sequence and structural properties at nucleotide and protein … L Folkman, Y Yang, Z Li, B Stantic, A Sattar, M Mort, DN Cooper, Y Liu, ... Bioinformatics 31 (10), 1599-1606, 2015 | 68 | 2015 |
