pACP-HybDeep: predicting anticancer peptides using binary tree growth based transformer and structural feature encoding with deep-hybrid learningMuhammad Khalil Shahid, Mahidur R. Sarker, Maqsood Hayat et al.|Scientific Reports|2025Cited by 68
DeepAIPs-Pred: Predicting Anti-Inflammatory Peptides Using Local Evolutionary Transformation Images and Structural Embedding-Based Optimal Descriptors with Self-Normalized BiTCNsShahid Akbar, Wajdi Alghamdi, Ali Raza et al.|Journal of Chemical Information and Modeling|2024Cited by 58
pNPs-CapsNet: Predicting Neuropeptides Using Protein Language Models and FastText Encoding-Based Weighted Multi-View Feature Integration with Deep Capsule Neural NetworkShahid Akbar, Aamir Saeed, Ali Raza et al.|ACS Omega|2025Cited by 48
AIPs-DeepEnC-GA: Predicting anti-inflammatory peptides using embedded evolutionary and sequential feature integration with genetic algorithm based deep ensemble modelAli Raza, Ruijun Liu, Wajdi Alghamdi et al.|Chemometrics and Intelligent Laboratory Systems|2024Cited by 41