RESEARCH: PROTEIN-SIMULATION
FOLDING PROJECT #19502 PROFILE

The project relates to using artificial intelligence (AI) to understand how proteins move and interact. This could help us design new medicines and predict how viruses change. Scientists will create a large dataset of proteins to train powerful AI models.

Summary The AI4Science Group at Freie Universität Berlin develops machine learning methods for physical sciences, with a focus on physics-constrained learning algorithms, complex dynamical systems analysis, efficient generative learning methods for statistical mechanics, and highly accurate machine learning methods for quantum mechanics.

They are an interdisciplinary team of mathematicians, chemists, physicists, and computer scientists. Details The primary objective of this project is to develop large-scale artificial intelligence (AI) models to efficiently sample protein dynamics and predict the stability of folded states and protein-protein interactions.

Being able to do this efficiently and accurately would be a game-changer for the prediction of virus mutants and the design of therapies for various diseases.

AI techniques have demonstrated exceptional performance on benchmark systems and have the potential to vastly speed up computations yet maintain comparable levels of accuracy as classical molecular dynamics simulations. The project aims to generate a comprehensive dataset of small protein systems that will provide the necessary information for creating the next generation of AI models for protein simulations.

We will collaborate with the Clementi Group at Freie Universität Berlin to achieve this goal.

artificial intelligence

A field of computer science dealing with intelligent agents

Artificial intelligence (AI) is a branch of computer science that aims to create systems capable of performing tasks that typically require human intelligence, such as learning, problem-solving, and decision-making. AI algorithms are trained on vast amounts of data to recognize patterns, make predictions, and improve their performance over time.

protein dynamics

The motion of atoms and molecules within a protein.

Protein dynamics refers to the continuous movement of atoms and molecules within a protein structure. These movements are essential for protein function, allowing them to interact with other molecules, change shape, and carry out their biological roles. Understanding protein dynamics is crucial for comprehending how proteins work and for designing new drugs that target specific proteins.

protein-protein interactions

The binding of two or more protein molecules together.

Protein-protein interactions are essential for many biological processes, such as cell signaling, DNA replication, and metabolism. These interactions occur when two or more proteins bind to each other, forming complexes that carry out specific functions. Understanding how proteins interact with each other is crucial for developing new drugs that target these interactions.

virus mutants

Variants of a virus with altered genetic material.

Virus mutants are variations of a virus that have undergone genetic changes. These mutations can result in altered characteristics, such as increased infectivity, resistance to antiviral drugs, or changes in the severity of disease. Tracking and understanding virus mutants is crucial for developing effective vaccines and treatments.

machine learning

A type of artificial intelligence that allows software applications to become more accurate in predicting outcomes without being explicitly programmed to do so.

Machine learning is a subset of artificial intelligence (AI) that enables computer systems to learn from data without explicit programming. Algorithms are trained on large datasets, identifying patterns and relationships to make predictions or decisions. This technology has wide-ranging applications, including image recognition, natural language processing, and fraud detection.

quantum mechanics

A fundamental theory in physics that describes the behavior of matter and energy at the atomic and subatomic levels.

Quantum mechanics is a branch of physics that governs the behavior of matter and energy at the smallest scales. It introduces concepts like wave-particle duality, quantization of energy, and superposition, which differ from classical physics. Quantum mechanics has revolutionized our understanding of the universe and has applications in various fields, including technology, medicine, and materials science.

molecular dynamics

A computational method for simulating the motion of atoms and molecules over time.

Molecular dynamics (MD) is a computer simulation technique used to model the movements of atoms and molecules in a system. By applying physical laws and mathematical equations, MD simulations can provide insights into the behavior of molecules at the atomic level, including their interactions, structures, and dynamics. This method has applications in various fields, such as drug discovery, materials science, and understanding biological processes.