Shahid Akbar

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

Farman Ali, Zar Nawab Khan Swati, Saeed Ahmed, 2019, J. Comput. Aided Mol. Des..

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

Kil To Chong, Shahid Akbar, Maqsood Hayat, 2020, IEEE Access.

Deep-AntiFP: Prediction of antifungal peptides using distanct multi-informative features incorporating with deep neural networks

Salman Khan, Aftab Ahmed, Farman Ali, 2021 .

iMethyl-STTNC: Identification of N6-methyladenosine sites by extending the idea of SAAC into Chou's PseAAC to formulate RNA sequences.

Shahid Akbar, Maqsood Hayat, Maqsood Hayat, 2018, Journal of theoretical biology.

iHBP-DeepPSSM: Identifying hormone binding proteins using PsePSSM based evolutionary features and deep learning approach

Salman Khan, Farman Ali, Shahid Akbar, 2020 .

cACP: Classifying anticancer peptides using discriminative intelligent model via Chou’s 5-step rules and general pseudo components

Shahid Akbar, Maqsood Hayat, Ateeq Ur Rahman, 2020 .