Project

Synergy of Advanced Machine Learning and Deep Neural Networks with Consensus Molecular Docking for Enhanced Potency Prediction of ALK Inhibitors

This is a repository containing my graduation thesis, which is currently under review by the BBA - Molecular Basis of Disease Journal.

A Graph Neural Network Model Enables Accurate Prediction of Anaplastic Lymphoma Kinase Inhibitors Compared to Other Machine Learning Models

This repository contains my publications from the KSE international conferences (Proceedings of the IEEE) and also the most interesting parts of my graduation thesis.

In silico modeling for prediction of potential HIV integrase inhibitors

This is a repository containing Tieu Long Phan master thesis

The-Chuong Trinh

Project

Synergy of Advanced Machine Learning and Deep Neural Networks with Consensus Molecular Docking for Enhanced Potency Prediction of ALK Inhibitors

A Graph Neural Network Model Enables Accurate Prediction of Anaplastic Lymphoma Kinase Inhibitors Compared to Other Machine Learning Models

In silico modeling for prediction of potential HIV integrase inhibitors