1 citations · 2 across the 4 of their papers we have counts for
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q-bio.BM2025
Modeling Dabrafenib Response Using Multi-Omics Modality Fusion and Protein Network Embeddings Based on Graph Convolutional Networks
La Ode Aman, A Mu'thi Andy Suryadi, Dizky Ramadani Putri Papeo +4
Cancer cell response to targeted therapy arises from complex molecular interactions, making single omics insufficient for accurate prediction. This study develops a model to predic…
q-bio.BM2025★ 1 cited
Prediction of Binding Affinity for ErbB Inhibitors Using Deep Neural Network Model with Morgan Fingerprints as Features
La Ode Aman
The ErbB receptor family, including EGFR and HER2, plays a crucial role in cell growth and survival and is associated with the progression of various cancers such as breast and lun…
q-bio.BM2024★ 1 cited
AI Model for Predicting Binding Affinity of Antidiabetic Compounds Targeting PPAR
La Ode Aman, Aiyi Asnawi
This study aims to develop a deep learning model for predicting the binding affinity of ligands targeting the Peroxisome Proliferator-Activated Receptor (PPAR) family, using 2D mol…