Synthetic dataset of PLGA and liposome nanocarrier formulations for brain-cancer-relevant drug delivery, release, blood-brain-barrier transport, and paired cell-viability proxies.

Overview

Institutions: Binus University (Indonesia)

Journal: Data in brief, volume 67, article 112926

Dates: received 21 April 2026; accepted 30 May 2026; published online 1 June 2026

Type: Data paper · Language: English

License: CC BY-NC

Identifiers: DOI 10.1016/j.dib.2026.112926 · PMID 42317624 · PMCID PMC13272574 · OpenAlex W7163041888

Open access: gold, a free copy (OpenAlex)

Status: data only

Categories: none (in silico) (organism), other condition (population), methods / tools (subfield)

Keywords: Synthetic data, PLGA nanoparticles, Liposomes, Nanocarriers, Blood-brain barrier, Brain cancer drug delivery, Machine learning benchmark, Materials informatics

Journal subjects: Data Article

Topic: Nanoparticle-Based Drug Delivery (Biomaterials, Materials Science), according to OpenAlex

Citations: not cited yet (Europe PMC); 9 references in the paper

Abstract

This data article describes an original synthetic/simulated dataset designed to support materials-informatics and comparative formulation analysis of PLGA nanoparticles and liposomes for brain-cancer-relevant drug delivery. Open row-level datasets that jointly cover formulation descriptors, release kinetics, blood-brain-barrier transport proxies, and paired tumor/non-tumor cell-assay outcomes for PLGA and liposome carriers were not identified by us in a single harmonized open resource during preparation of this package, motivating a transparent synthetic benchmark for methodological and machine-learning reuse. The dataset was inspired by the scientific themes synthesized in the related review article by Makalew and Abrori, but it does not reproduce bibliometric records, published tables, or experimental rows. The package contains 6000 unique virtual formulations in a formulation master table and three linked long-format data tables describing time-resolved release profiles (360,000 rows), blood-brain-barrier-related transport proxies (54,000 rows), and paired tumor/non-tumor cell-assay proxies (432,000 rows), totaling approximately 846,000 assay-like rows. Variables include composition descriptors, preparation routes, physicochemical properties, targeting features, encapsulation efficiency, drug loading, stability, biodegradation proxy, serum stability proxy, integrated blood-brain-barrier transport score, cellular uptake score, biocompatibility score, tumor-directed cytotoxicity proxy, off-target toxicity proxy, and derived multi-criteria performance scores. The synthetic data were generated with a transparent, reproducible workflow that combines domain-informed priors, hierarchical conditional rules, latent heterogeneity, batch effects, replicate variation, bounded noise, sparse scientifically motivated missingness, and post-generation quality filters. The dataset is distributed in open tabular formats together with generation code, a codebook, validation documentation, and reproducible figure-generation scripts.

Reproduced under the paper's license (CC BY-NC), from the paper cited above.

Code

The paper links to its data, not to its authors' code: see the Data section.

Tracing map

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Data

Datasets cited

data.mendeley.com/datasets/jvfb9mjzws, at Mendeley Data; found in the text
doi:10.17632/jvfb9mjzws.1, at the source; found in the references
doi:10.17632/jvfb9mjzws.1direct, at the source; found in the text

Data Availability

Mendeley DataSynthetic dataset of PLGA and liposome nanocarrier formulations for brain-cancer-relevant drug delivery, release, blood-brain-barrier transport, and paired cell-viability proxies (Original data) (https://10.17632/jvfb9mjzws.1).

Reproduced under the paper's license (CC BY-NC), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, pages, dates, 2 authors, 8 keywords, 9 references.

Cite

This paper

Abrori, S., & Makalew, B. (2026). Synthetic dataset of PLGA and liposome nanocarrier formulations for brain-cancer-relevant drug delivery, release, blood-brain-barrier transport, and paired cell-viability proxies. Data in brief, 67, 112926. https://doi.org/10.1016/j.dib.2026.112926

BibTeX

@article{abrori2026synthetic, author = {Abrori, Syauqi and Makalew, Brilly}, title = {{Synthetic dataset of PLGA and liposome nanocarrier formulations for brain-cancer-relevant drug delivery, release, blood-brain-barrier transport, and paired cell-viability proxies}}, journal = {Data in brief}, year = {2026}, month = jun, volume = {67}, pages = {112926}, publisher = {Elsevier}, issn = {2352-3409}, doi = {10.1016/j.dib.2026.112926}, url = {https://doi.org/10.1016/j.dib.2026.112926}, pmid = {42317624}, pmcid = {PMC13272574} }

RIS

TY - JOUR AU - Abrori, Syauqi AU - Makalew, Brilly TI - Synthetic dataset of PLGA and liposome nanocarrier formulations for brain-cancer-relevant drug delivery, release, blood-brain-barrier transport, and paired cell-viability proxies T2 - Data in brief J2 - Data Brief PY - 2026 DA - 2026/06/01 VL - 67 SP - 112926 SN - 2352-3409 PB - Elsevier DO - 10.1016/j.dib.2026.112926 UR - https://doi.org/10.1016/j.dib.2026.112926 LA - en ER -

CSL-JSON

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