Big Adv Program Ends January 31
As we have previously announced, the bigadv (BA) program will reach end-of-life on January 31, 2015. We would like to thank all the donors who have contributed to the program. …
Read moreAs we have previously announced, the bigadv (BA) program will reach end-of-life on January 31, 2015. We would like to thank all the donors who have contributed to the program. …
Read moreOn Saturday May 30th, 2015, the Huntington’s Disease Society of America SF Celebration of Hope will Honor Prof. Pande for his work with Folding@home. Â Details are in poster to the…
Read moreI’m happy to announce our participation in the Cancer Systems Biology Scholars (CSBS) program, which provides a unique opportunity for postdoctoral training in cancer systems biology in a dynamic, multi-disciplinary…
Read moreIn Project 10471 we at the Chodera lab are looking at Src kinase. The Src gene was first discovered as responsible for the tumorogenicity of Rous sarcoma virus. This gene…
Read moreAs part of our recent assignment server upgrades we are rolling out a new psummary page (which lists all of the active Folding@home projects).  This new page includes projects which are…
Read moreI’m excited to announce today our new initiative for Folding@home on Android Mobile phones, with a beta version being released today. Â In collaboration with Sony, we have brought Folding@home to…
Read moreNow we have over 1 millisecond of data for rhodopsin, a key signaling protein in vision. Â In the new year, we will be running more simulations to get better statistics…
Read moreGiven some known driver issues with recent NVIDIA maxwell chips and Core18 ( Â https://www.reddit.com/r/foldingathome/ … l_support/Â ), we are temporarily restricting our core18 projects (e.g. 1047*) to use pre-maxwell GPUs.…
Read moreYou may have noticed a trend in the type of proteins being simulated on Folding@home recently. A number of Folding@home labs are collaborating in an attempt to understand the role…
Read moreMarkov state models (MSMs), which model conformational dynamics as a network of transitions between metastable states, have been increasingly used to model the thermodynamics and kinetics of biomolecules. In considering perturbations to molecular dynamics induced by sequence mutations, chemical modifications, or changes in external conditions, it is important to assess how transition rates change, independent of changes in metastable state definitions. Here, we present a surprisal metric to qu…
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