iACP-GAEnsC: Evolutionary genetic algorithm based ensemble classification of anticancer peptides by utilizing hybrid feature space. - Shahid Akbar; Maqsood Hayat; Muhammad Iqbal; Mian Ahmad Jan (Artif. Intell. Medicine, 2017)

DP-BINDER: machine learning model for prediction of DNA-binding proteins by fusing evolutionary and physicochemical information. - Farman Ali 002; Saeed Ahmed; Zar Nawab Khan Swati; Shahid Akbar (J. Comput. Aided Mol. Des., 2019)

cACP-2LFS: Classification of Anticancer Peptides Using Sequential Discriminative Model of KSAAP and Two-Level Feature Selection Approach. - Shahid Akbar; Maqsood Hayat; Muhammad Tahir 007; Kil To Chong 001 (IEEE Access, 2020)

iRNA-PseTNC: identification of RNA 5-methylcytosine sites using hybrid vector space of pseudo nucleotide composition. - Shahid Akbar; Maqsood Hayat; Muhammad Iqbal; Muhammad Tahir 007 (Frontiers Comput. Sci., 2020)

iAtbP-Hyb-EnC: Prediction of antitubercular peptides via heterogeneous feature representation and genetic algorithm based ensemble learning model. - Shahid Akbar; Ashfaq Ahmad; Maqsood Hayat; Ateeq Ur Rehman 001; Salman Khan 005; Farman Ali 002 (Comput. Biol. Medicine, 2021)

AFP-CMBPred: Computational identification of antifreeze proteins by extending consensus sequences into multi-blocks evolutionary information. - Farman Ali 002; Shahid Akbar; Ali Ghulam; Zulfikar Ahmed Maher; Ahsanullah Unar; Dhani Bux Talpur (Comput. Biol. Medicine, 2021)

cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model. - Shahid Akbar; Maqsood Hayat; Muhammad Tahir 007; Salman Khan 005; Fawaz Khaled Alarfaj (Artif. Intell. Medicine, 2022)

Prediction of Amyloid Proteins Using Embedded Evolutionary & Ensemble Feature Selection Based Descriptors With eXtreme Gradient Boosting Model. - Shahid Akbar; Hashim Ali 001; Ashfaq Ahmad; Mahidur R. Sarker; Aamir Saeed; Ely Salwana 001; Sarah Gul; Ahmad Khan; Farman Ali 002 (IEEE Access, 2023)

Identifying Neuropeptides via Evolutionary and Sequential Based Multi-Perspective Descriptors by Incorporation With Ensemble Classification Strategy. - Shahid Akbar; Heba G. Mohamed; Hashim Ali 001; Aamir Saeed; Aftab Ahmed Khan; Sarah Gul; Ashfaq Ahmad; Farman Ali 002; Yazeed Yasin Ghadi; Muhammad Assam (IEEE Access, 2023)

pAtbP-EnC: Identifying Anti-Tubercular Peptides Using Multi-Feature Representation and Genetic Algorithm-Based Deep Ensemble Model. - Shahid Akbar; Ali Raza; Tamara Al Shloul; Ashfaq Ahmad; Aamir Saeed; Yazeed Yasin Ghadi; Orken Mamyrbayev; Elsayed Tag-Eldin (IEEE Access, 2023)

AIPs-SnTCN: Predicting Anti-Inflammatory Peptides Using fastText and Transformer Encoder-Based Hybrid Word Embedding with Self-Normalized Temporal Convolutional Networks. - Ali Raza; Jamal Uddin; Abdullah Almuhaimeed; Shahid Akbar; Quan Zou 001; Ashfaq Ahmad (J. Chem. Inf. Model., 2023)

Blockchain-Based Logging to Defeat Malicious Insiders: The Case of Remote Health Monitoring Systems. - Hamza Javed; Zainab Abaid; Shahid Akbar; Kifayat Ullah 004; Ashfaq Ahmad; Aamir Saeed; Hashim Ali 001; Yazeed Yasin Ghadi; Tahani Jaser Alahmadi; Hend Khalid Alkahtani; Ali Raza (IEEE Access, 2024)

iAFPs-Mv-BiTCN: Predicting antifungal peptides using self-attention transformer embedding and transform evolutionary based multi-view features with bidirectional temporal convolutional networks. - Shahid Akbar; Quan Zou 001; Ali Raza; Fawaz Khaled Alarfaj (Artif. Intell. Medicine, 2024)

TargetCLP: clathrin proteins prediction combining transformed and evolutionary scale modeling-based multi-view features via weighted feature integration approach. - Matee Ullah; Shahid Akbar; Ali Raza; Kashif Ahmad Khan; Quan Zou 001 (Briefings Bioinform., 2024)

DeepAIPs-Pred: Predicting Anti-Inflammatory Peptides Using Local Evolutionary Transformation Images and Structural Embedding-Based Optimal Descriptors with Self-Normalized BiTCNs. - Shahid Akbar; Matee Ullah; Ali Raza; Quan Zou 001; Wajdi Alghamdi (J. Chem. Inf. Model., 2024)

Deepstacked-AVPs: predicting antiviral peptides using tri-segment evolutionary profile and word embedding based multi-perspective features with deep stacking model. - Shahid Akbar; Ali Raza; Quan Zou 001 (BMC Bioinform., 2024)

StackedEnC-AOP: prediction of antioxidant proteins using transform evolutionary and sequential features based multi-scale vector with stacked ensemble learning. - Gul Rukh; Shahid Akbar; Gauhar Rehman; Fawaz Khaled Alarfaj; Quan Zou 001 (BMC Bioinform., 2024)

pACPs-DNN: Predicting anticancer peptides using novel peptide transformation into evolutionary and structure matrix-based images with self-attention deep learning model. - Shahid; Maqsood Hayat; Ali Raza; Shahid Akbar; Wajdi Alghamdi; Nadeem Iqbal 002; Quan Zou 001 (Comput. Biol. Chem., 2025)