Boosted Prediction of Antihypertensive Peptides Using Deep Learning
Anum Rauf(University of Management and Technology), Moongu Jeon(Gwangju Institute of Science and Technology), Aqsa Kiran(University of Management and Technology), Malik Tahir Hassan(University of Management and Technology), Sajid Mahmood(University of Management and Technology), Ghulam Mustafa(University of Management and Technology)
Cited by 16
Related Papers
Harnessing features of adaptive NK cells to generate iPSC-derived NK cells for enhanced immunotherapy
|Cell stem cell|2021|153
The Role of Vocabulary Knowledge in Speaking Development of Saudi EFL Learners
|Arab World English Journal|2018|93
Enhanced Fuzzy Logic Zone Stable Election Protocol for Cluster Head Election (E-FLZSEPFCH) and Multipath Routing in wireless sensor networks
|Ain Shams Engineering Journal|2023|58
Blockchain-based governance models in e-government: a comprehensive framework for legal, technical, ethical and security considerations
|International Journal of Law and Management|2024|58
Microbiology of wetlands and the carbon cycle in coastal wetland mediated by microorganisms
|The Science of The Total Environment|2024|43