Explore a comprehensive video series on applying data science techniques to bioinformatics projects, with a focus on drug discovery. Learn to collect and pre-process data, perform exploratory data analysis, prepare datasets, build and compare models, and deploy web applications using tools like Streamlit. Dive into computational drug discovery using Python and PyCaret, and understand how machine learning can be applied to decipher genetic code and predict antimicrobial peptides. Discover the groundbreaking AlphaFold 2 project for protein structure prediction and its impact on the human proteome. Gain insights from industry experts through podcasts and introductions to computational drug discovery. Develop practical skills in building bioinformatics tools and web applications for various purposes, including molecular descriptor calculation and drug discovery. Join an open bioinformatics research project and explore how machine learning can explain drug mechanisms.
Overview
Syllabus
Bioinformatics Project from Scratch - Drug Discovery Part 1 (Data Collection and Pre-Processing).
Bioinformatics Project from Scratch - Drug Discovery Part 2 (Exploratory Data Analysis).
Bioinformatics Project from Scratch - Drug Discovery Part 3 (Dataset Preparation).
Bioinformatics Project from Scratch - Drug Discovery Part 4 (Model Building).
Bioinformatics Project from Scratch - Drug Discovery Part 5 (Compare Models).
Bioinformatics Project from Scratch - Drug Discovery #6 (Deploy Model as Web App) | Streamlit #22.
Using Computer Code to Decipher Genetic Code - Part 1 (Bioinformatics 101).
Using Computer Code to Decipher Genetic Code - Part 2 (Bioinformatics 101).
Machine Learning for Drug Discovery (Explained in 2 minutes).
Data Science for Computational Drug Discovery using Python (Part 1).
Data Science for Computational Drug Discovery using Python (Part 2 with PyCaret).
Computational Drug Discovery: Machine Learning for Making Sense of Big Data in Drug Discovery.
How a Biologist became a Data Scientist.
Learn Bioinformatics through Coding on ROSALIND Platform.
Building a Bioinformatics Web App in Python | Streamlit #7.
How to Build a Simple Bioinformatics Web App in Python | Streamlit #8.
Build a Machine Learning Model for Computational Drug Discovery from Scratch (Weka Tutorial #4).
Deepmind's Alphafold2 Solves Protein Structures (Part 1) #shorts.
Deepmind's Alphafold2 Solves Protein Structures (Part 2) #shorts.
How to build a machine learning model to predict antimicrobial peptides (End-to-end Bioinformatics).
How to build a Bioinformatics web app (Molecular Descriptor Calculator) in Python | Streamlit #21.
How to build a web app for Drug Discovery in Python | Streamlit #26.
How to Build Bioinformatics Tools.
Data Science for Bioinformatics.
AlphaFold 2 Paper with Code.
AlphaFold 2 Learns the Entire Human Proteome (AlphaFold Protein Structure Database).
Data Science Podcast with Pat Walters (Cheminformatics Scientist).
An Introduction to Computational Drug Discovery.
Call for Participation in the Open Bioinformatics Research Project.
How to use Machine Learning to explain how drugs work.
Taught by
Data Professor
