Introduction to GAN Principles and Applications

Introduction to GAN Principles and Applications

Selected from StatsBot Author: Anton Karazeev Translated by Machine Heart Contributors: Qianshu, Huang Xiaotian This article is reproduced with permission from “Machine Heart” Reproduction prohibited Generative Adversarial Networks (GANs) are a class of neural networks used in unsupervised learning, which help to solve tasks such as generating images from text, improving image resolution, drug matching, … Read more

Dual Diffusion Model for 3D Molecule Generation Based on Target Pockets

Dual Diffusion Model for 3D Molecule Generation Based on Target Pockets

On March 26, 2024, Professor Huang Jiajun’s team from City University of Hong Kong, in collaboration with Tencent AI Lab and Shanghai Ruige Pharmaceutical, published an article in Nature Communications titled “A Dual Diffusion Model Enables 3D Molecule Generation and Lead Optimization Based on Target Pockets.” The authors proposed a Pocket-based Molecular Diffusion Model (PMDM) … Read more

OptADMET: A Web-Based Tool for Improving ADMET Properties

OptADMET: A Web-Based Tool for Improving ADMET Properties

Professors Cao Dongsheng from Central South University and Hou Tingjun from Zhejiang University, along with Carbon Silicon Wisdom, National University of Defense Technology, Hong Kong Baptist University, Hunan University, and Tianjin Supercomputing Center, published a research paper titled “OptADMET: a web-based tool for substructure modifications to improve ADMET properties of lead compounds” in the authoritative … Read more