| 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 | 136 | 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 |
| 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 |
| 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 | 98 | 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 | 88 | 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 |
| 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 |
| 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 | 60 | 2019 |
| 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 |
| 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 | 55 | 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 |
| 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 | 50 | 2021 |
| 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 |
| 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 | 48 | 2020 |
| iTSP-PseAAC: identifying tumor suppressor proteins by using fully connected neural network and PseAAC M Awais, W Hussain, N Rasool, YD Khan Current Bioinformatics 16 (5), 700-709, 2021 | 46 | 2021 |
| Identification of lysine carboxylation sites in proteins by integrating statistical moments and position relative features via general PseAAC S Amanat, A Ashraf, W Hussain, N Rasool, YD Khan Current Bioinformatics 15 (5), 396-407, 2020 | 46 | 2020 |
| Phytochemicals from Selective Plants Have Promising Potential against SARS‐CoV‐2: Investigation and Corroboration through Molecular Docking, MD Simulations, and Quantum … K Kousar, A Majeed, F Yasmin, W Hussain, N Rasool BioMed Research International 2020 (1), 6237160, 2020 | 46 | 2020 |
| A sequence-based predictor of Zika virus proteins developed by integration of PseAAC and statistical moments W Hussain, N Rasool, YD Khan Combinatorial chemistry & high throughput screening 23 (8), 797-804, 2020 | 43 | 2020 |
| Insights into the inhibitory potential of selective phytochemicals against Mpro of 2019-nCoV: a computer-aided study N Rasool, A Akhtar, W Hussain Structural Chemistry, 2020 | 36 | 2020 |
| Computational exploration of antiviral activity of phytochemicals against NS2B/NS3 proteases from dengue virus N Rasool, A Ashraf, M Waseem, W Hussain, S Mahmood Turkish Journal of Biochemistry, 2019 | 33 | 2019 |
Yaser Daanial KhanProfessor, School of Systems and Technology, University of Management and Technology在 umt.edu.pk 的电子邮件经过验证
