DeepSEA model

In this blog, we will analyze the deep learning model which predict chromatin features using DNA sequence. Using this chromatin features, we can predict the disease.

Generating Molecules using CharRNN

In this blog we are going to discuss about RNN’s and How the character RNN algorithms can be used in Molecular Structure Generation.

Objective Reinforced Generative Adversarial Network (Part I)

Finding the Lead Molecule in a Drug Discovery pipeline is one of the most challenging processes. Thousands of molecules are screened and tested. This process is time-consuming and very important and so this blog discusses a deep generative model that tries to overcome these challenges.

Hypergradient Optimization

A brief introduction about the Hypergradient optimization for Hyperparameter optimization. It is considered as the relation between parameters and hyperparameters of the model for the better selection of hyperparameters.

Molecular Structure Generation using VAE

This post gives a detailed explanation about using Variational Autoencoders for Molecular structure Generation. By the end of this post, you will be able to create your VAE or molecular generation.