Ali Reza Sabounchi

Welcome to my page! I am Ali Reza Sabounchi, a graduate student at Sharif University of Technology specializing in the intersection of artificial intelligence, biology, and chemistry

Here, you will find information about my research interests, current projects, technical skills, and posts in the fields of AI-driven drug design and computational biology and chemistry.

DiffDock: Short & Sweet

A simple, brief summary of what DiffDock does (thumbnail from the original paper)
By Alireza Sabounchi
Posted on October 19, 2025

The other day I came across this interesting paper that incorporated diffusion models with molecular docking, which I find very... [Read More]
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Deep Learning Approaches vs. AutoDock: A New Era in Molecular Docking

Comparing Traditional Methods with Innovative Deep Learning Techniques for Molecular Docking (thumbnail by Flaticon)
By Ali Reza Sabounchi
Posted on March 10, 2025

Molecular docking is a cornerstone technique in computational drug discovery, traditionally exemplified by tools like AutoDock. These methods rely on... [Read More]
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Transformers in Molecular Property Prediction

Harnessing Transformer Architectures for Enhanced Molecular Analysis (thumbnail by AI Emoji Generator)
By Ali Reza Sabounchi
Posted on February 14, 2025

The advent of transformer architectures has revolutionized various fields in natural language processing and computer vision. Recently, their application has... [Read More]
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AI Revolution in Drug Discovery: A Current Overview

How cutting-edge AI techniques are transforming pharmaceutical research (thumbnail by OpenMoji)
By Ali Reza Sabounchi
Posted on January 8, 2025

The rapid evolution of artificial intelligence is now at the heart of drug discovery. Innovative deep learning algorithms and advanced... [Read More]
Tags:
- AI
- Drug Discovery
- Research
- Technology
Graph Neural Networks in Drug Discovery

Leveraging Graph-Based Deep Learning for Pharmaceutical Innovation (thumbnail by IconScout)
By Ali Reza Sabounchi
Posted on December 28, 2024

The integration of graph neural networks (GNNs) into drug discovery processes has opened new avenues for understanding complex biochemical interactions.... [Read More]
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DiffDock: Short & Sweet

A simple, brief summary of what DiffDock does (thumbnail from the original paper)

Deep Learning Approaches vs. AutoDock: A New Era in Molecular Docking

Comparing Traditional Methods with Innovative Deep Learning Techniques for Molecular Docking (thumbnail by Flaticon)

Transformers in Molecular Property Prediction

Harnessing Transformer Architectures for Enhanced Molecular Analysis (thumbnail by AI Emoji Generator)

AI Revolution in Drug Discovery: A Current Overview

How cutting-edge AI techniques are transforming pharmaceutical research (thumbnail by OpenMoji)

Graph Neural Networks in Drug Discovery

Leveraging Graph-Based Deep Learning for Pharmaceutical Innovation (thumbnail by IconScout)