GTX260 Overview Page
Summary Page
Current Progress 0 Frames Complete (0%)
Time Per Frame 0h, 0m, 0s
PPD 0,0 (0,00 WUs)
PPW 0,0 (0,00 WUs)
Work Units Completed: 0 - Failed: 0 - Total: 0
Download Time samedi 12 février 2011 at 18:52:14
Expected Completion Unknown
   
Log File FAHlog File
   
Project
Project ID 10511
Work Unit p10511_ntl9(1-56)_WT
Credit 587
KFactor 0
Number of Frames 100
Core GROGPU2
Number of Atoms 908
Preferred Deadline 8 Days
Final Deadline 12 Days
Contact Person vvoelz
Server IP 171.64.65.61
Description

Folding@home project descriptions

Project 10511

Projects 10510-10516 consists of GPU simulations of the full-length NTL9 (56 residues) protein, with slightly different sequences (mutants), all starting from the native state. We are using these simulations to try and predict the effect of mutations on folding stability, folding rates, unfolded-state structure, and folding pathways.

Project temperature (K)
10510 300
10511 330
10512 350
10513 370
10514 410
10515 450
10516 600

Each project simulates the following sequence variants:

  • RUN 0: wild-type
  • RUN 1: V3A
  • RUN 2: V3I
  • RUN 3: V3L
  • RUN 4: D8N
  • RUN 5: K12M
  • RUN 6: K12M G34(D-Ala)
  • RUN 7: F5A
  • RUN 8: F5A K12M

This work builds off of work recently published in JACS (Voelz et al.), showing that, for first time, we can simulate a protein that folds on the millisecond time scale. This was done for NTL9(1-39), a 39-residue truncation muatnt of NTL9. Since most of the experimental data for NTL9 is published for the full-length protein, we wanted to see if we could use the simulation data from the truncated sequence to "seed" simulations of the full length protein (56 residues) to achieve better sampling.

To do this, we used the Markov State Model (MSM) that was constructed in Voelz et al., describing the dynamics of protein folding in terms of transitions between metastable stables. Conformations from each of the 2000 macrostates of the MSM were used as templates on which we threaded the C-terminal sequence. This is an exciting use of MSMs as a multi-scale method for simulation that uses adaptive seeding, and later, adaptive sampling for a very thorough sampling of conformational space. If this approach works well, we hope to use it for even more slow-folding proteins.

Points and deadlines:
project 10510: 587 points, timeout 8 days, deadline 12 days
project 10511: 587 points, timeout 8 days, deadline 12 days
project 10512: 587 points, timeout 8 days, deadline 12 days
project 10513: 587 points, timeout 8 days, deadline 12 days
project 10514: 587 points, timeout 8 days, deadline 12 days
project 10515: 587 points, timeout 8 days, deadline 12 days
project 10516: 587 points, timeout 8 days, deadline 12 days

(Note that these projects are identical to projects 10501-10504)




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