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Lukman Kehinde Akinola

Observed names: Akinola, L.K., Akinola, Lukman Kehinde, L.K. Akinola, Lukman K Akinola, Lukman K. Akinola
ORCID: 0000-0002-4948-8401
Observed ORCID: 0000-0002-4948-8401
OpenAlex ID: A5060190228
Theoretical study on endocrine disrupting effects of polychlorinated dibenzo‐p‐dioxins using molecular docking simulation
2020 · Lukman K. Akinola, Adamu Uzairu, et al. · Journal of Applied Toxicology · 22
A computational insight into endocrine disruption by polychlorinated biphenyls via non-covalent interactions with human nuclear receptors
2021 · Lukman K. Akinola, Adamu Uzairu, et al. · Ecotoxicology and Environmental Safety · 15
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Development of binary classification models for grouping hydroxylated polychlorinated biphenyls into active and inactive thyroid hormone receptor agonists
2023 · L.K. Akinola, A. Uzairu, et al. · SAR and QSAR in environmental research · 6
In silico prediction of nuclear receptor binding to polychlorinated dibenzofurans and its implication on endocrine disruption in humans and wildlife
2021 · Lukman K. Akinola, Adamu Uzairu, et al. · Current Research in Toxicology · 6
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In silico discovery of new ornithine decarboxylase inhibitor with potential for human African trypanosomiasis treatment
2025 · Lukman Kehinde Akinola, Mohnad Abdalla, et al. · Discover Chemistry. · 5
Development and Validation of Predictive Quantitative Structure–Activity Relationship Models for Estrogenic Activities of Hydroxylated Polychlorinated Biphenyls
2023 · Lukman K. Akinola, Adamu Uzairu, et al. · Environmental Toxicology and Chemistry · 5
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Quantitative structure–activity relationship modeling of hydroxylated polychlorinated biphenyls as constitutive androstane receptor agonists
2022 · Lukman Kehinde Akinola, Adamu Uzairu, et al. · Structural Chemistry · 3
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Adsorption of methylene blue on adsorbents derived from Delonix Regia seed pods and Vigna Subterranea fruit hulls: a kinetic study
2019 · Lukman K. Akinola, A. Ibrahim, et al. · Science World Journal · 2
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Classification of hydroxylated polychlorinated biphenyls as agonists and nonagonists of estrogen receptors using linear discriminant analysis and decision tree models
2025 · Lukman K Akinola, Adamu Uzairu, et al. · Environmental Toxicology and Chemistry · 1
Identification of estrogen receptor agonists among hydroxylated polychlorinated biphenyls using classification-based quantitative structure–activity relationship models
2024 · Lukman K. Akinola, Adamu Uzairu, et al. · Current Research in Toxicology · 1
Kernel Naïve Bayes QSAR models for discriminating thyroid hormone receptor agonists and non-agonists among hydroxylated polychlorinated biphenyls
2026 · Akinola, Lukman Kehinde, Uzairu, Adamu, et al. · Zenodo (CERN European Organization for Nuclear Research)
Kernel Naïve Bayes QSAR models for discriminating thyroid hormone receptor agonists and non-agonists among hydroxylated polychlorinated biphenyls
2026 · Akinola, Lukman Kehinde, Uzairu, Adamu, et al. · Zenodo (CERN European Organization for Nuclear Research)
Classification of hydroxylated polychlorinated biphenyls as thyroid hormone receptor agonists and non-agonists using support vector machine–based QSAR models
2026 · Akinola, Lukman Kehinde, Uzairu, Adamu, et al. · Zenodo (CERN European Organization for Nuclear Research)
Investigation of Congo Red Adsorption on Activated Carbon Prepared From Arachis Hypogaea Shells
2020 · Lukman K. Akinola, Musa Umar, et al. · Journal of Chemical Society of Nigeria
Works count: 15
Citation count: 66
H-index: 5
I10-index: 2
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