Work

Cheminformatics and Machine Learning-Driven QSAR Analysis of SPHK2 Inhibitors for Anticancer Drug Design

Year: 2026

Type: article

Source: Current Medicinal Chemistry

DOI: 10.2174/0109298673390041251026153630

Authors: Muataz Naeem Hussein, Shahad Nahedh Hussein, Amjad Ibrahim Oraibi, Ali H. Alburghaif, Hany Aqeel Al-Hussainy, Ali Majeed Ali Almukram, Faiyaz Shakeel

Institutions: Nahrain University, University of Baghdad, University of Manara, Ibn Sina University of Medical and Pharmaceutical Sciences, Al-Nisour University College, University of Maryland, Baltimore, King Saud University

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: King Saud University

Award: G3643715311

OpenAlex ID: W7128494335

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