Nested Cross-Validation & Cross-Validation Series – Part 2A

Nested Cross-Validation & Cross-Validation Series – Part 2A

This is part 2A of the Nested Cross-Validation & Cross-Validation Series. I will go through a python tutorial on implementing k-fold CV regressors using random forest (RF) from scikit-learn with the first dataset: (A) a simple cheminformatics dataset with descriptors and endpoints of interest. In Part 2B, I will cover the same python tutorial for…

RDKit_2D Descriptors in Python – Part 4

This is part-4 from the five-part series tutorial of the blog post, Computing Molecular Descriptors – Intro, in the context of drug discovery. The goal of this post to explain the python code on computing 2D RDKit descriptors and exporting them as CSV files. First, install the required library packages using miniconda. The code for RDKit_2D class that…

ECFP6 Fingerprints in Python – Part 3

ECFP6 Fingerprints in Python – Part 3

This is part-3 from the five-part series tutorial of the blog post, Computing Molecular Descriptors – Intro, in the context of drug discovery. The goal of this post to explain the python code on computing Morgan ECFP fingerprints also known as ECFP6 (radius = 3) connectivity fingerprints. What Are ECFP Fingerprints? Please read this article and…