Enhanced Binding Affinity Prediction via Transformer‑Based Protein Embeddings and Ensemble Learning

Binding Affinity Prediction is pivotal in determining the efficacy of interactions between proteins and ligands. It plays a critical role in drug discovery and therapeutic agent development. This study proposes a new hybrid ensemble learning model for

Authors

Muhammad I. Ismail (ORCID: https://orcid.org/0000-0003-2562-4357)
Munir Ahmad (ORCID: https://orcid.org/0000-0002-5240-0984)
Abdul Majid (ORCID: https://orcid.org/0000-0002-6771-4433)
Muhammad Usman Hashmi (ORCID: https://orcid.org/0000-0002-9948-2251)

Institutions

Pakistan Institute of Engineering and Applied Sciences (PK)
Superior University (PK)

Publication Details

Published: 2025-08-18
DOI: https://doi.org/10.22541/au.175554960.03044435/v1
Primary Topic: Machine Learning in Bioinformatics
Type: article
Field-Weighted Citation Impact: 0.00

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article

Enhanced Binding Affinity Prediction via Transformer‑Based Protein Embeddings and Ensemble Learning

Muhammad I. Ismail, Munir Ahmad, Abdul Majid, Muhammad Usman Hashmi

Aug 18, 2025

Machine Learning in Bioinformatics

article

Enhanced Binding Affinity Prediction via Transformer‑Based Protein Embeddings and Ensemble Learning

Muhammad I. Ismail, Munir Ahmad, Abdul Majid, Muhammad Usman Hashmi

August 18, 2025article en

Abstract

Binding Affinity Prediction is pivotal in determining the efficacy of interactions between proteins and ligands. It plays a critical role in drug discovery and therapeutic agent development. This study proposes a new hybrid ensemble learning model for

Pakistan Institute of Engineering and Applied Sciences (PK), Superior University (PK)

Openalex Percentile: Top 81%

Machine Learning in Bioinformatics

DOI Open Access PDF OpenAlex

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