An Explainable Deep Learning Model for Clathrin Protein Prediction Using a DCT-Enhanced Position-Specific Scoring Matrix

The predictive performance can be significantly enhanced if the model can incorpo-rate heterogeneous types of biological information, such as structure, evolution, and function. We plan to design a novel prediction model that combines Capsule Neural Networks (CapsNet) with DeepWalk to obtain structural features.

Authors

Rahu Sikander
Atef Masmoudi (ORCID: https://orcid.org/0000-0001-7540-3646)
Raed Alsini (ORCID: https://orcid.org/0000-0002-3163-575X)
Ali Ghulam
Farman Ali
Tarique Ali

Institutions

King Abdulaziz University (SA)
Jinnah University for Women (PK)
Shaheed Zulfiqar Ali Bhutto Institute of Science and Technology (PK)
Sindh Agriculture University (PK)
Bahria University (PK)
King Khalid University (SA)

Publication Details

Journal: Current Drug Targets
Published: 2026-02-19
DOI: https://doi.org/10.2174/0113894501400875251113072024
Primary Topic: Machine Learning in Bioinformatics
Type: article
Field-Weighted Citation Impact: 0.00

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article

An Explainable Deep Learning Model for Clathrin Protein Prediction Using a DCT-Enhanced Position-Specific Scoring Matrix

Rahu Sikander, Atef Masmoudi, Raed Alsini, Ali Ghulam et al.

Feb 19, 2026

Current Drug Targets

Machine Learning in Bioinformatics

article

An Explainable Deep Learning Model for Clathrin Protein Prediction Using a DCT-Enhanced Position-Specific Scoring Matrix

Rahu Sikander, Atef Masmoudi, Raed Alsini, Ali Ghulam, Farman Ali, Tarique Ali

February 19, 2026article en

Abstract

The predictive performance can be significantly enhanced if the model can incorpo-rate heterogeneous types of biological information, such as structure, evolution, and function. We plan to design a novel prediction model that combines Capsule Neural Networks (CapsNet) with DeepWalk to obtain structural features.

Current Drug TargetsVol. 27

King Abdulaziz University (SA), Jinnah University for Women (PK), Shaheed Zulfiqar Ali Bhutto Institute of Science and Technology (PK), Sindh Agriculture University (PK), Bahria University (PK), King Khalid University (SA)

Openalex Percentile: Top 50%

Machine Learning in Bioinformatics

DOI Source OpenAlex

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