Towards physics-based precision medicine
The goal of precision medicine is to utilize our knowledge of the molecular causes of disease to better diagnose and treat patients. In the precision medicine framework, diseases are subdivided…
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How does ApoE cause Alzheimer’s disease?
A number of active projects on Folding@home right now aim to understand how different forms of the protein apolipoprotein E (ApoE) determine one’s risk of developing Alzheimer’s disease. Alzheimer’s disease…
Read moreAlphaFold opens new opportunities for Folding@home
Folding@home has long sought to understand how proteins self-assemble, or fold, into their functional structures and what the functional implications of dynamics within the context of a folded protein are.…
Read moreUnraveling the Mystery of Drug Specificity: The Case of Blebbistatin
When it comes to designing novel drugs, achieving specificity is a major challenge. An effective drug must bind tightly to its target protein while avoiding unwanted side effects that can…
Read moreUnraveling the Secrets of G Protein Activation: A Molecular Odyssey
G proteins are essential molecular players in the intricate symphony of cellular signaling. From our vision to our sense of smell, neurotransmission to cell growth, G proteins are at the…
Read moreMeet the classic paper: Sorin and Pande 2005
We revisit a classic paper from Folding@home’s early days in which the supposedly simple dynamics of a simple peptide turns out to be much more exciting than expected.
Read moreEvaluating protein force fields
New projects from the Voelz lab focus on assessing how well modern force fields can model proteins, the biological machines of the cell.
Read more2021 in review, and happy new year 2022
This past year, we have largely focused on following through on our commitment to take on SARS-CoV-2. Looking ahead, there’s more work to be done on the pandemic, and we…
Read moreCOVID MOONSHOT SPRINT 11: The home stretch
Rev up your GPUs and help us in the final stretch of nominating a patent-free oral antiviral for preclinical studies!
Read moreClassic paper: Improved coarse-graining of Markov state models via explicit consideration of statistical uncertainty
This classic paper from Folding@home Director Greg Bowman describes a Bayesian approach to clustering microstates into metastable states for building Markov state models, a foundational Folding@home technology.
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