AI-Based Drug Discovery Collaboration for Cancer Research
Created On: May 4, 2026
Collaboration Overview
Project OverviewThis project aims to develop an AI-driven pipeline for drug discovery, focusing on identifying potential therapeutic compounds for cancer treatment. The study integrates molecular docking, cheminformatics, and machine learning/deep learning approaches to accelerate virtual screening and lead identification. I am looking for collaborators with expertise in:Machine Learning / Deep Learning (especially in drug discovery).Bioinformatics / Computational Biology;Molecular Docking and Simulation (AutoDock, PyRx;Data analysis and feature engineering (QSAR, cheminformatics.(Optional) Wet lab validation or experimental biology). Expected Outcomes: Research publication in a peer-reviewed journal Development of a reproducible AI-based drug discovery pipeline: Identification of novel or repurposed drug candidates