Publications

Research & Citation

MultiEndpointTox is developed in the open. Organized by real publication status — no placeholders standing in for work that doesn't exist yet.

Published

No publication record has been verified yet — the manuscript below is accepted, not yet published (no volume, issue, or DOI has been assigned).

Accepted for Publication

ManuscriptAccepted for publication

MultiEndpointTox: A Chemoinformatics Platform for Multidimensional Drug Toxicity Profiling Using Interpretable Machine Learning, Multi-Task Learning, and Integrated Risk Scoring

Sharhabil Amgad Eltahir; Mukhtar Ibrahim Yousef · Pharmaceuticals (MDPI) · Accepted 6 August 2026

A chemoinformatics platform for multidimensional drug toxicity profiling — full methodology, validation, and case studies. No DOI, volume, or issue has been assigned yet; the certificate below documents the acceptance itself.

Conference Presentations

Conference PresentationAccepted

Metabolism-Aware and Pharmacogenetics-Informed Toxicity Prediction: A Multi-Endpoint Machine Learning Framework With Systematic Platform Benchmarking

Sharhabil Amgad Eltahir Mohamedali · SETAC North America 47th Annual Meeting · Montreal, Quebec · Wednesday, 4 November 2026

A platform presentation (id#20648) on metabolism-aware, pharmacogenetics-informed multi-endpoint toxicity prediction with systematic platform benchmarking against existing tools.

Preprints

No preprint was posted — the manuscript proceeded directly from submission to peer-reviewed acceptance.

In Preparation

TODO: Documentation not yet available.

Software Release (citable now)

Software

MultiEndpointTox: Multi-Endpoint Toxicity Prediction Platform for Drug Safety Assessment with OpenTox 2.0-Aligned Workflows

Sharhabil Amgad Eltahir Mohamedali · Zenodo · v1.2 · 2026-03-10

MultiEndpointTox is a machine-learning REST API for predicting seven drug toxicity endpoints from molecular SMILES strings: hERG cardiotoxicity (regression), drug-induced liver injury (DILI), nephrotoxicity, Ames mutagenicity, skin sensitization, cytotoxicity, and reproductive/developmental toxicity (all classification). Predictions include SHAP feature attribution, structural alert detection, applicability domain assessment, and integrated risk scoring. Implements OpenTox 2.0 compliance principles for FAIR, interoperable, and auditable computational toxicology.

Related reading

Abdelwahab, S. & Hardy, B. (2026). OpenTox 2.0: A Framework for Regulatory-Grade Toxicity Prediction. Journal of Cheminformatics — the compliance framework MultiEndpointTox implements. Not a MultiEndpointTox publication.