Evidence map›Paper›PMID 42645594›Full record

ArticleJournal of computer-aided molecular design2026

In silico discovery of RIOK3 inhibitors against pancreatic ductal adenocarcinoma using homology modelling, molecular docking, molecular dynamics simulations, ADMET prediction, and MTT assay.

Kawthar Alhussieni, Rozana Othman, Tamilanban Thamaraikani, Ke Han Tan, Malek Zihlif, Natasha Sura Anak Lubau, Loay Abujubbeh, Mohammad Alhussieni, Vetriselvan Subramaniyan

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Article in Journal of computer-aided molecular design, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Kawthar AlhussieniDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, Universiti Malaya, 50603, Kuala Lumpur, Malaysia. k.o.alhussine@gmail.com.
Rozana OthmanDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, Universiti Malaya, 50603, Kuala Lumpur, Malaysia. rozanaothman@um.edu.my.
Tamilanban ThamaraikaniDepartment of Pharmacology, Faculty of Medicine, MAHSA University, Jenjarom, Selangor, Malaysia.
Ke Han TanDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
Malek ZihlifDepartment of Pharmacology, Faculty of Medicine, The University of Jordan, Amman, 11942, Jordan.
Natasha Sura Anak LubauJeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, 47500, Subang Jaya, Selangor, Malaysia.
Loay AbujubbehDepartment of Microbiology, Faculty of Medicine, Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
Mohammad AlhussieniDepartment of Internal Medicine, Helios Frankenwald Kronach Hospital, 96317, Kronach, Germany.
Vetriselvan SubramaniyanFaculty of Medical and Life Sciences, Sunway University, Sunway City, Malaysia. vetris@sunway.edu.my.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is an aggressive cancer strongly linked to RIO Kinase 3 (RIOK3), which promotes progression by stabilizing and phosphorylating Focal Adhesion Kinase (FAK). Advances in protein structure prediction, particularly AlphaFold2, have significantly enhanced our understanding of protein dynamics, aiding in the identification of potential inhibitors for targeted therapies. This study used structure-based virtual screening, molecular dynamics simulations, ADMET/toxicity prediction, and in vitro validation to identify potential inhibitors of RIOK3 for PDAC treatment. The 3D structure of RIOK3 was predicted using AlphaFold2 and docked with compounds listed in the ZINC database that were independently confirmed as FDA-approved drugs using AutoDock Vina. Pharmacokinetic and pharmacodynamic properties were assessed with SwissADME, and in vitro validation was performed using MTT assays to assess cell viability and growth inhibition. Four top-scoring compounds were identified, with binding energies between - 11.3 and - 10.4 kcal/mol. Venetoclax showed the most stable complex with RIOK3, followed by Conivaptan and Irinotecan. Drospirenone showed weaker binding. Molecular dynamics simulations and MM/GBSA analysis supported the stability of these complexes. SwissADME and ProTox-II confirmed that the compounds met drug-likeness criteria but exhibited distinct pharmacokinetic and toxicity profiles. In vitro MTT assays showed concentration-dependent growth inhibition in PANC-1 cells, with Venetoclax having the lowest IC₅₀ value. This study identifies RIOK3 as a promising therapeutic target for PDAC, with Venetoclax, Conivaptan, Drospirenone, and Irinotecan as repurposable candidates for further research. Further studies should include biochemical assays, expanded cytotoxicity profiling in multiple PDAC cell lines, and in vivo evaluations to validate RIOK3-targeted therapies for PDAC treatment.

Indexed as

Antineoplastic AgentsCarcinoma, Pancreatic DuctalPancreatic NeoplasmsProtein Kinase InhibitorsProtein Serine-Threonine KinasesCell Line, TumorCell ProliferationCell SurvivalHumansMolecular Docking SimulationMolecular Dynamics SimulationAntineoplastic AgentsProtein Kinase InhibitorsProtein Serine-Threonine KinasesAlphaFold2AutoDock vinaPancreatic ductal adenocarcinomaRIOK3

Identifiers

PMID42645594

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.