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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

MolUtil

Published:

This is a repository containing useful functions for cheminformatics tasks

Mol2DSimi

Published:

This is a repository to calculate similartity and compare performance of different types of fingerprints
Molecular_Similarity

MolCluster

Published:

This is a repository to categorize compounds into different clusters

Molph4

Published:

This is an automated tool to extract pharmacophore result of MOE software and validation

MolAD

Published:

This is a repository to identify applicability domain of QSAR model

DockValid

Published:

This is a repository to for automated docking score extraction and validation from different softwares

MLQSAR

Published:

This is a repository to for automated docking score extraction and validation from different softwares

project

Tubulin docking

Published:

This is a repository containing one part of Le Lai Hoang Son’s thesis

publications

Study on the effect of molecular fingerprints on the performance of machine learning model predicting hiv integrase bioactivty

Published in Vietnamese Pharmacy Journal, 2023

HIV-1 has been causing severe pandemics since the 1980s by attacking the host immune system. If HIV-1 is not treated, it can eventually lead to AIDS (acquired immunodeficiency syndrome), where death is inevitable due to opportunistic infections. Therefore, discovering new HIV-1 antiviral drugs is…

Recommended citation: Tieu Long Phan, Thanh An Pham, Van Thinh To, Bao Vy Doan Ngoc, Hoang Son Le Lai, Ngoc Tuyen Truong (2023). Study on the effect of molecular fingerprints on the performance of machine learning model predicting HIV integrase bioactivty. Vietnamese Pharmacy Journal (Accepted).

talks

teaching

Cheminformatics

Internal training, University of Medicine and Pharmacy at Ho Chi Minh city, Department of Organic Chemistry, 2022

This is a set of eight (8) tutorials on basic information of cheminformatics using the Google Colab free cloud-computing environment in Summer 2022.

Molecular Docking

Internal training, University of Medicine and Pharmacy at Ho Chi Minh city, Department of Organic Chemistry, 2022

This is a set of two (2+) tutorials on basic information of molecular docking incoporating python framework, using the Google Colab free cloud-computing environment in Fall 2022.

Deep Learning

Internal training, University of Medicine and Pharmacy at Ho Chi Minh city, Department of Organic Chemistry, 2023

This is a set of four (4+) tutorials on basic information of deep learning in drug discovery incoporating tensorflow and pytorch framework, using the Google Colab free cloud-computing environment in Spring 2023.

Molecular Docking Colab

Internal training, University of Medicine and Pharmacy at Ho Chi Minh city, Department of Organic Chemistry, 2023

This is a set of two (4) tutorials on basic information of molecular docking incoporating python framework, using the Google Colab free cloud-computing environment in Summer 2023. You can watch this tutorial to learn how to use Google Colab. Please download the presentation here. Or you can read the Vietnamse document.