Computational Drug Discovery Part 3: Alphafold2 - Protein Structure Prediction (Miniseries)

Understand how AlphaFold2 works and its major building blocks in a miniseries of blogs.

Computational Drug Discovery Part 3 (Subpart 2/3): AlphaFold's Evoformer Block Disassembled, A Matrix-Level Deep Dive into AlphaFold2's Core

A detailed mathematical breakdown of AlphaFold2’s Evoformer block, explaining each operation with concrete matrix algebra and dimensions - Subpart 2/3

Computational Drug Discovery Part 3 (Subpart 3/3): From Abstract Features to Atoms, AlphaFold2's Structure Module and Training

AlphaFold2’s Structure Module uses Invariant Point Attention to convert abstract Evoformer predictions into 3D atomic coordinates through iterative refinement, while multi-objective loss functions guide training - Subpart 3/3

Computational Drug Discovery Part 3 (Subpart 1/3): AlphaFold Overview

How DeepMind’s AlphaFold2 solved the 50-year grand challenge in biology – the protein folding problem – using transformers, evolutionary information, and geometric reasoning and what it means for drug discovery - Subpart 1/3