Coding University

Deep Learning Based Protein Design for Targeted Cancer Treatment Author: Akrash Noor & Saba  | Published: September 10, 2025 | Category: AI, Bioinformatics, Cancer Therapy This article presents a mathematical and computational overview of an AI-driven protein design framework for cancer therapy . It explains how artificial intelligence can assist in designing novel proteins that selectively target cancer-related biomarkers. 1. Protein Sequence Representation A protein can be represented as a sequence of amino acids: P = (a₁, a₂, a₃, …, aₙ), aᵢ ∈ A n is the length of the protein A represents the 20 standard amino acids Each amino acid is converted into a numerical vector using encoding techniques such as one-hot encoding or learned embeddings: aᵢ → xᵢ ∈ ℝᵈ 2. AI-Based De Novo Protein Generation Protein design is treated as a sequence generation problem: P* = arg max P p(P...