Curated Dataset of Leukemia Cell Lines with Experimental GI50 Values

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Auteurs principaux: Oulladji, Latefa, Saadallah, Mouna
Format: Recurso digital
Langue:anglais
Publié: Zenodo 2026
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author Oulladji, Latefa
Saadallah, Mouna
author_facet Oulladji, Latefa
Saadallah, Mouna
contents <p>The dataset was constructed by integrating compound bioactivity data from two primary sources: the dataset reported by <span class="hover:entity-accent entity-underline inline cursor-pointer align-baseline"><span class="whitespace-normal">Aljarf et al.</span></span> and the <span class="hover:entity-accent entity-underline inline cursor-pointer align-baseline"><span class="whitespace-normal">ChEMBL</span></span> database. To ensure relevance to leukemia-specific drug response, the data were filtered to retain only three human leukemia cell lines: K-562, CCRF-CEM, and HL-60(TB).</p> <p>Following data integration, quality control procedures, including the removal of duplicate entries and inconsistent records, were applied to obtain a clean and reliable dataset. The resulting dataset comprises 69,270 compound–activity pairs, distributed across the selected cell lines as follows: 28,602 for K-562, 27,850 for CCRF-CEM, and 12,818 for HL-60(TB).</p> <p>Each compound is represented using a SMILES string and is associated with a transformed bioactivity value (pGI50), obtained by applying a logarithmic transformation to the original GI50 measurements. In addition, a binary activity label is provided for each compound, where compounds are classified as active or inactive based on a predefined pGI50 threshold, enabling both regression and classification tasks.</p> <p>To mitigate class imbalance and ensure suitability for machine learning tasks, each subset corresponding to a given cell line was balanced as per the activity labels.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_19984726
institution Zenodo
language eng
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Curated Dataset of Leukemia Cell Lines with Experimental GI50 Values
Oulladji, Latefa
Saadallah, Mouna
Leukemia
drug sensitivity
drug response
GI50
Bioactivity
SMILES
K-562
CCRF-CEM
HL-60
Drug response prediction
<p>The dataset was constructed by integrating compound bioactivity data from two primary sources: the dataset reported by <span class="hover:entity-accent entity-underline inline cursor-pointer align-baseline"><span class="whitespace-normal">Aljarf et al.</span></span> and the <span class="hover:entity-accent entity-underline inline cursor-pointer align-baseline"><span class="whitespace-normal">ChEMBL</span></span> database. To ensure relevance to leukemia-specific drug response, the data were filtered to retain only three human leukemia cell lines: K-562, CCRF-CEM, and HL-60(TB).</p> <p>Following data integration, quality control procedures, including the removal of duplicate entries and inconsistent records, were applied to obtain a clean and reliable dataset. The resulting dataset comprises 69,270 compound–activity pairs, distributed across the selected cell lines as follows: 28,602 for K-562, 27,850 for CCRF-CEM, and 12,818 for HL-60(TB).</p> <p>Each compound is represented using a SMILES string and is associated with a transformed bioactivity value (pGI50), obtained by applying a logarithmic transformation to the original GI50 measurements. In addition, a binary activity label is provided for each compound, where compounds are classified as active or inactive based on a predefined pGI50 threshold, enabling both regression and classification tasks.</p> <p>To mitigate class imbalance and ensure suitability for machine learning tasks, each subset corresponding to a given cell line was balanced as per the activity labels.</p>
title Curated Dataset of Leukemia Cell Lines with Experimental GI50 Values
topic Leukemia
drug sensitivity
drug response
GI50
Bioactivity
SMILES
K-562
CCRF-CEM
HL-60
Drug response prediction
url https://doi.org/10.5281/zenodo.19984726