| SPrenylC-PseAAC: A sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-prenylation sites in proteins W Hussain, YD Khan, N Rasool, SA Khan, KC Chou Journal of theoretical biology 468, 1-11, 2019 | 126 | 2019 |
| SPalmitoylC-PseAAC: A sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-palmitoylation sites in proteins W Hussain, YD Khan, N Rasool, SA Khan, KC Chou Analytical biochemistry 568, 14-23, 2019 | 126 | 2019 |
| iPhosT-PseAAC: Identify phosphothreonine sites by incorporating sequence statistical moments into PseAAC YD Khan, N Rasool, W Hussain, SA Khan, KC Chou Analytical biochemistry 550, 109-116, 2018 | 124 | 2018 |
| Unb-DPC: Identify mycobacterial membrane protein types by incorporating un-biased dipeptide composition into Chou's general PseAAC M Khan, M Hayat, SA Khan, N Iqbal Journal of theoretical biology 415, 13-19, 2017 | 104 | 2017 |
| Towards the safety properties of moving block railway interlocking system NA Zafar, SA Khan, K Araki Int. J. Innovative Comput., Info & Control 8 (7), 5677-5690, 2012 | 91 | 2012 |
| iPhosH-PseAAC: Identify phosphohistidine sites in proteins by blending statistical moments and position relative features according to the Chou's 5-step rule and general pseudo … M Awais, W Hussain, YD Khan, N Rasool, SA Khan, KC Chou IEEE/ACM transactions on computational biology and bioinformatics 18 (2 …, 2019 | 86 | 2019 |
| pSSbond-PseAAC: Prediction of disulfide bonding sites by integration of PseAAC and statistical moments YD Khan, M Jamil, W Hussain, N Rasool, SA Khan, KC Chou Journal of theoretical biology 463, 47-55, 2019 | 78 | 2019 |
| A novel modeling in mathematical biology for classification of signal peptides A Ehsan, K Mahmood, YD Khan, SA Khan, KC Chou Scientific reports 8 (1), 1039, 2018 | 73 | 2018 |
| A two-level computation model based on deep learning algorithm for identification of piRNA and their functions via Chou’s 5-steps rule S Khan, M Khan, N Iqbal, T Hussain, SA Khan, KC Chou International Journal of Peptide Research and Therapeutics 26, 795-809, 2020 | 70 | 2020 |
| Iris recognition using image moments and k-means algorithm YD Khan, SA Khan, F Ahmad, S Islam The Scientific World Journal 2014, 2014 | 70 | 2014 |
| iPhosY-PseAAC: identify phosphotyrosine sites by incorporating sequence statistical moments into PseAAC YD Khan, N Rasool, W Hussain, SA Khan, KC Chou Molecular biology reports 45, 2501-2509, 2018 | 69 | 2018 |
| pNitro-Tyr-PseAAC: predict nitrotyrosine sites in proteins by incorporating five features into Chou’s general PseAAC AW Ghauri, YD Khan, N Rasool, SA Khan, KC Chou Current pharmaceutical design 24 (34), 4034-4043, 2018 | 64 | 2018 |
| iNuc-ext-PseTNC: an efficient ensemble model for identification of nucleosome positioning by extending the concept of Chou’s PseAAC to pseudo-tri-nucleotide composition M Tahir, M Hayat, SA Khan Molecular Genetics and Genomics 294, 199-210, 2019 | 62 | 2019 |
| An evaluation framework and comparative analysis of the widely used first programming languages MS Farooq, SA Khan, F Ahmad, S Islam, A Abid PloS one 9 (2), e88941, 2014 | 62 | 2014 |
| A prediction model for membrane proteins using moments based features AH Butt, SA Khan, H Jamil, N Rasool, YD Khan BioMed research international 2016, 2016 | 61 | 2016 |
| A new approach to fuzzy TOPSIS method based on entropy measure under spherical fuzzy information O Barukab, S Abdullah, S Ashraf, M Arif, SA Khan Entropy 21 (12), 1231, 2019 | 60 | 2019 |
| iHyd-PseAAC (EPSV): identifying hydroxylation sites in proteins by extracting enhanced position and sequence variant feature via chou's 5-step rule and general pseudo amino … A Ehsan, MK Mahmood, YD Khan, OM Barukab, SA Khan, KC Chou Current genomics 20 (2), 124-133, 2019 | 60 | 2019 |
| Situation recognition using image moments and recurrent neural networks YD Khan, F Ahmed, SA Khan Neural Computing and Applications 24, 1519-1529, 2014 | 58 | 2014 |
| iMethylK-PseAAC: Improving accuracy of lysine methylation sites identification by incorporating statistical moments and position relative features into general PseAAC via Chou … S Ilyas, W Hussain, A Ashraf, YD Khan, SA Khan, KC Chou Current Genomics 20 (4), 275-292, 2019 | 55 | 2019 |
| iProtease-PseAAC (2L): A two-layer predictor for identifying proteases and their types using Chou's 5-step-rule and general PseAAC YD Khan, N Amin, W Hussain, N Rasool, SA Khan, KC Chou Analytical biochemistry 588, 113477, 2020 | 49 | 2020 |
Prof. Saeed Islam (PhD)Department of Mathematics, Abdul Wali Khan University MardanVerified email at awkum.edu.pk
