Shahid Akbar
Orcid: 0000-0002-1106-0012
According to our database1,
Shahid Akbar
authored at least 16 papers
between 2017 and 2024.
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Bibliography
2024
StackedEnC-AOP: prediction of antioxidant proteins using transform evolutionary and sequential features based multi-scale vector with stacked ensemble learning.
BMC Bioinform., December, 2024
Deepstacked-AVPs: predicting antiviral peptides using tri-segment evolutionary profile and word embedding based multi-perspective features with deep stacking model.
BMC Bioinform., December, 2024
DeepAIPs-Pred: Predicting Anti-Inflammatory Peptides Using Local Evolutionary Transformation Images and Structural Embedding-Based Optimal Descriptors with Self-Normalized BiTCNs.
J. Chem. Inf. Model., 2024
iAFPs-Mv-BiTCN: Predicting antifungal peptides using self-attention transformer embedding and transform evolutionary based multi-view features with bidirectional temporal convolutional networks.
Artif. Intell. Medicine, 2024
Blockchain-Based Logging to Defeat Malicious Insiders: The Case of Remote Health Monitoring Systems.
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.
J. Chem. Inf. Model., November, 2023
pAtbP-EnC: Identifying Anti-Tubercular Peptides Using Multi-Feature Representation and Genetic Algorithm-Based Deep Ensemble Model.
IEEE Access, 2023
Identifying Neuropeptides via Evolutionary and Sequential Based Multi-Perspective Descriptors by Incorporation With Ensemble Classification Strategy.
IEEE Access, 2023
Prediction of Amyloid Proteins Using Embedded Evolutionary & Ensemble Feature Selection Based Descriptors With eXtreme Gradient Boosting Model.
IEEE Access, 2023
2022
cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model.
Artif. Intell. Medicine, 2022
2021
AFP-CMBPred: Computational identification of antifreeze proteins by extending consensus sequences into multi-blocks evolutionary information.
Comput. Biol. Medicine, 2021
iAtbP-Hyb-EnC: Prediction of antitubercular peptides via heterogeneous feature representation and genetic algorithm based ensemble learning model.
Comput. Biol. Medicine, 2021
2020
iRNA-PseTNC: identification of RNA 5-methylcytosine sites using hybrid vector space of pseudo nucleotide composition.
Frontiers Comput. Sci., 2020
cACP-2LFS: Classification of Anticancer Peptides Using Sequential Discriminative Model of KSAAP and Two-Level Feature Selection Approach.
IEEE Access, 2020
2019
DP-BINDER: machine learning model for prediction of DNA-binding proteins by fusing evolutionary and physicochemical information.
J. Comput. Aided Mol. Des., 2019
2017
iACP-GAEnsC: Evolutionary genetic algorithm based ensemble classification of anticancer peptides by utilizing hybrid feature space.
Artif. Intell. Medicine, 2017