RESEARCH: CANCER
FOLDING PROJECT #17604 PROFILE

This project uses umbrella sampling to explore different shapes of a protein called MET kinase. It's like attaching springs to the protein to pull it into new positions and see how it changes. This helps scientists find ways to target proteins involved in diseases like lung cancer.

Note: This TLDR is a simplication and may not be 100% accurate.

This project is an attempt at implementing umbrella sampling in Folding@home.

Umbrella sampling is a way of "pulling" the protein to new configurations by attaching a spring to specific atoms to move into a certain configuration. Identifying druggable states or exploring conformational state space relevant to disease is an existing challenge.

The embarassingly parallel nature of Folding@home allows us to massively scale up our exploration.

However, the underlying methods still rely on luck to a large extent – we must discover the states in work units as the dataset grows in size and more work units are run.

This can be an incredibly inefficient and slow process.

To help speed up state discovery and exploration, we can place 'springs' at regularly spaced intervals in our configuration space, and pull any independent simulation to one of these springs.

This "spring pulled simulation" is called Umbrella sampling (because the shape of the space explored around the spring looks like an parabola/umbrella).

With FAH, we can run multiple umbrellas at once, pulling each individual RUN to a unique point in conformational space independently of other RUNs.

In doing so we are able to massively scale up our sampling and discovery of unique states in a protein's conformational landscape. This project is identical in calculation to 16497, exploring conformations of MET kinase, involved in non-small-cell lung carcinoma, but acting as a test bed.

---

Umbrella sampling

A simulation technique used to explore protein conformations by applying forces.

Umbrella sampling is a computational method used in biophysics and drug discovery. It involves applying simulated forces (like springs) to proteins to guide their exploration of different shapes. This helps researchers understand how proteins fold and interact, which is crucial for developing new drugs.

---

Folding@home

A distributed computing project that harnesses the power of personal computers to simulate protein folding.

Folding@home is a global network of volunteers who donate their computer processing power to simulate how proteins fold. This helps researchers understand diseases caused by misfolded proteins and develop new drugs.

---

Protein

A large biomolecule composed of amino acids that plays a vital role in biological processes.

Proteins are essential building blocks of life. They perform a wide variety of functions in cells, such as catalyzing reactions, transporting molecules, and providing structural support.

---

Druggable

Refers to a protein or other molecule that can be targeted by drugs.

A druggable target is a molecule that scientists believe can be effectively manipulated by drugs to treat diseases. Finding new druggable targets is a key goal in drug discovery.

---

Conformational state space

The set of all possible three-dimensional shapes that a molecule can adopt.

Every molecule can exist in different shapes. Conformational state space describes the range of these possible shapes, which are important for understanding how molecules function and interact.

---

MET kinase

mesenchymal-epithelial transition factor kinase

MET kinase is a protein that plays a role in cell growth and survival. Overactivity of MET kinase has been linked to certain types of cancer, making it a target for drug development.

---

Non-small-cell lung carcinoma

A type of lung cancer that originates in the glandular cells of the lungs.

Non-small-cell lung carcinoma (NSCLC) is the most common type of lung cancer. It arises from the glandular cells in the lungs and can be treated with various therapies, including chemotherapy, radiation, and targeted drug therapy.