Shahid Akbar

According to our database, Shahid Akbar authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

BMC Bioinform., December, 2024

Blockchain-Based Logging to Defeat Malicious Insiders: The Case of Remote Health Monitoring Systems.

Hamza Javed, Zainab Abaid, Shahid Akbar, Kifayat Ullah, Ashfaq Ahmad, Aamir Saeed, Hashim Ali, Yazeed Yasin Ghadi, Tahani Jaser Alahmadi, Hend Khalid Alkahtani, Ali Raza

IEEE Access, 2024

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, Ashfaq Ahmad

J. Chem. Inf. Model., November, 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

Identifying Neuropeptides via Evolutionary and Sequential Based Multi-Perspective Descriptors by Incorporation With Ensemble Classification Strategy.

Shahid Akbar, Heba G. Mohamed, Hashim Ali, Aamir Saeed, Aftab Ahmed Khan, Sarah Gul, Ashfaq Ahmad, Farman Ali, Yazeed Yasin Ghadi, Muhammad Assam

IEEE Access, 2023

Prediction of Amyloid Proteins Using Embedded Evolutionary & Ensemble Feature Selection Based Descriptors With eXtreme Gradient Boosting Model.

Shahid Akbar, Hashim Ali, Ashfaq Ahmad, Mahidur R. Sarker, Aamir Saeed, Ely Salwana, Sarah Gul, Ahmad Khan, Farman Ali

IEEE Access, 2023

2022

cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model.

Shahid Akbar, Maqsood Hayat, Muhammad Tahir, Salman Khan, Fawaz Khaled Alarfaj

Artif. Intell. Medicine, 2022

2021

AFP-CMBPred: Computational identification of antifreeze proteins by extending consensus sequences into multi-blocks evolutionary information.

Farman Ali, Shahid Akbar, Ghulam Ali, Zulfikar Ahmed Maher, Ahsanullah Unar, Dhani Bux Talpur

Comput. Biol. Medicine, 2021

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, Salman Khan, Farman Ali

Comput. Biol. Medicine, 2021

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

Frontiers Comput. Sci., 2020

cACP-2LFS: Classification of Anticancer Peptides Using Sequential Discriminative Model of KSAAP and Two-Level Feature Selection Approach.

Shahid Akbar, Maqsood Hayat, Muhammad Tahir, Kil To Chong

IEEE Access, 2020

2019

DP-BINDER: machine learning model for prediction of DNA-binding proteins by fusing evolutionary and physicochemical information.

Farman Ali, Saeed Ahmed, Zar Nawab Khan Swati, Shahid Akbar

J. Comput. Aided Mol. Des., 2019

2017

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