Meet 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.
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Evaluating 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 moreUnprotected peptide macrocyclization and stapling via a fluorine-thiol displacement reaction
Over 1.8 milliseconds of simulation time on Folding@home helps understand a new class of stapled peptide therapeutics that show enhanced inhibition of cancer cell growth.
Read moreSARS-CoV-2 infects the human kidney and drives fibrosis in kidney organoids
An experimental paper from the COVID Moonshot consortium—a collaboration involving Folding@home to discover new SARS-CoV-2 antivirals—shows that a compound discovered with the help of Folding@home is effective in suppressing the eplication of SARS-CoV-2.
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 moreEditorial: Experiments and Simulations: A Pas de Deux to Unravel Biological Function
In a new Editorial, Folding@home Director Greg Bowman and collaborators explain how simulation and experiment can work together to illuminate the detailed mechanisms of biology and disease.
Read moreEquilibrium fluctuations of a single folded protein reveal a multitude of potential cryptic allosteric sites
A new paper from the Bowman lab proposes that potentially druggable cryptic allosteric sites may be even more ubiquitous than previously thought, and that our new simulation methods should be a valuable means of guiding the search for such sites.
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.
Read moreCirculating SARS-CoV-2 spike N439K variants maintain fitness while evading antibody-mediated immunity
Folding@home helps experimental collaborators understand mutations that drive increased fitness of SARS-CoV-2 mutants.
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