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An Integrated Machine Learning and Structural Chemogenomics Pipeline for Target Identification and Drug Discovery in Spinal Chordoma

Year: 2026

Type: article

Abstract: An AI-driven computational study integrating machine learning, structural bioinformatics, and molecular docking to identify potential therapeutic targets and drug candidates for spinal chordoma.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22725896

Authors: Irfan, Muskan, Munir, Muhammad Usama, Azhar, Laiba, Habiba, Umm-e-, Afzal, Aish, Mumtaz, Hamza

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Drug Discovery

Field: Pharmacology, Toxicology and Pharmaceutics

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7212377872

FWCI:

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