| 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 | 138 | 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 | 129 | 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 | 128 | 2018 |
| 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 | 100 | 2019 |
| Computer-aided analysis of phytochemicals as potential dengue virus inhibitors based on molecular docking, ADMET and DFT studies I Qaddir, N Rasool, W Hussain, S Mahmood Journal of vector borne diseases 54 (3), 255-262, 2017 | 96 | 2017 |
| 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 | 94 | 2017 |
| 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 | 85 | 2019 |
| 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, 55-76, 2017 | 78 | 2017 |
| 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 | 74 | 2018 |
| A prediction model for membrane proteins using moments based features AH Butt, SA Khan, H Jamil, N Rasool, YD Khan BioMed research international 2016 (1), 8370132, 2016 | 70 | 2016 |
| Gene cloning and characterization of a xylanase from a newly isolated Bacillus subtilis strain R5 A Jalal, N Rashid, N Rasool, M Akhtar Journal of bioscience and bioengineering 107 (4), 360-365, 2009 | 70 | 2009 |
| 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 | 69 | 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 | 66 | 2019 |
| 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 |
| Optimization of serine phosphorylation prediction in proteins by comparing human engineered features and deep representations S Naseer, W Hussain, YD Khan, N Rasool Analytical Biochemistry 615, 114069, 2021 | 59 | 2021 |
| NPalmitoylDeep-PseAAC: A predictor of N-palmitoylation sites in proteins using deep representations of proteins and PseAAC via modified 5-steps rule S Naseer, W Hussain, YD Khan, N Rasool Current Bioinformatics 16 (2), 294-305, 2021 | 56 | 2021 |
| Insights into Machine Learning-based approaches for Virtual Screening in Drug Discovery: Existing strategies and streamlining through FP-CADD W Hussain, N Rasool, YD Khan Current Drug Discovery Technologies 18 (4), 463-472, 2021 | 53 | 2021 |
| Sequence-based identification of arginine amidation sites in proteins using deep representations of proteins and PseAAC S Naseer, W Hussain, YD Khan, N Rasool Current Bioinformatics 15 (8), 937-948, 2020 | 53 | 2020 |
| iPhosS (Deep)-PseAAC: Identification of Phosphoserine Sites in Proteins Using Deep Learning on General Pseudo Amino Acid Compositions S Naseer, W Hussain, YD Khan, N Rasool IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (3 …, 2020 | 51 | 2020 |
| 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 | 51 | 2020 |