| 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 | 119 | 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 | 119 | 2018 |
| 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 | 118 | 2019 |
| 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 | 77 | 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 | 74 | 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), 1-16, 2018 | 67 | 2018 |
| 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 (6), 2501-2509, 2018 | 65 | 2018 |
| Prediction of N-linked glycosylation sites using position relative features and statistical moments MA Akmal, N Rasool, YD Khan PloS one 12 (8), e0181966, 2017 | 64 | 2017 |
| 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 | 63 | 2018 |
| Iris recognition using image moments and k-means algorithm YD Khan, SA Khan, F Ahmad, S Islam The Scientific World Journal 2014, 2014 | 61 | 2014 |
| A treatise to computational approaches towards prediction of membrane protein and its subtypes AH Butt, N Rasool, YD Khan The Journal of membrane biology 250 (1), 55-76, 2017 | 60 | 2017 |
| Predicting membrane proteins and their types by extracting various sequence features into Chou’s general PseAAC AH Butt, N Rasool, YD Khan Molecular biology reports 45 (6), 2295-2306, 2018 | 58 | 2018 |
| Prediction of antioxidant proteins by incorporating statistical moments based features into Chou's PseAAC AH Butt, N Rasool, YD Khan Journal of theoretical biology 473, 1-8, 2019 | 57 | 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 | 56 | 2019 |
| A neuro-cognitive approach for iris recognition using back propagation YD Khan, F Ahmad, MW Anwar World Applied Sciences Journal 16 (5), 678-685, 2012 | 56 | 2012 |
| 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 | 52 | 2016 |
| 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 | 50 | 2019 |
| Situation recognition using image moments and recurrent neural networks YD Khan, F Ahmed, SA Khan Neural Computing and Applications 24 (7), 1519-1529, 2014 | 50 | 2014 |
| iCrotoK-PseAAC: Identify lysine crotonylation sites by blending position relative statistical features according to the Chou’s 5-step rule SJ Malebary, MSU Rehman, YD Khan PloS one 14 (11), e0223993, 2019 | 47 | 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 | 45 | 2020 |
Kuo-Chen ChouGordon Life Science Institute, USAVerified email at gordonlifescience.org
