Current "RAC" (Recent Average Credit) by the team. Total Members are numbers reported by the BOINC Project. Members w/o Beacon are members of the team activly running this project, but has yet to advertise their CPID to the Gridcoin Network.

Team Hosts count are number of hosts that are connected to team members. Anonymous hosts can not be counted to the team.

Last Included:

15 hours ago

Project RAC:

404,374,263

Project Hosts:

5136

Team RAC:

66,185,962 (16.37%)

Team Hosts:

412

Team Members:

4430

Team Members w/ Magnitude:

0

Team Members w/o Beacon:

0
Updated 2020-08-12 11:12:00 UTC

Ready to send:

0

In progress:

1,654

In validation:

0
TitleExpire
New paper 2/2: GPCRmd uncovers the dynamics of the 3D-GPCRome

The second paper is Rodríguez-Espigares, I., Torrens-Fontanals, M., Tiemann, J.K.S. et al. GPCRmd uncovers the dynamics of the 3D-GPCRome. Nat Methods (2020). [Link] 10.1038/s41592-020-0884-y here, your computations have been used to build a database of configurations for most types and subtypes of GPCR-class proteins. GPCRs are "do-all" receptors - there are many many subtypes, each with activators and inhibitors. The [Link] GPCRmd database provides for the first time a *systematic* coverage of their dynamics. G-protein-coupled receptors (GPCRs) are involved in numerous physiological processes and are the most frequent targets of approved drugs. The explosion in the number of new three-dimensional (3D) molecular structures of GPCRs (3D-GPCRome) over the last decade has greatly advanced the mechanistic understanding and drug design opportunities for this protein family. Molecular dynamics (MD) simulations have become a widely established technique for exploring the conformational landscape of proteins at an atomic level. However, the analysis and visualization of MD simulations require efficient storage resources and specialized software. Here we present GPCRmd (http://gpcrmd.org/), an online platform that incorporates web-based visualization capabilities as well as a comprehensive and user-friendly analysis toolbox that allows scientists from different disciplines to visualize, analyze and share GPCR MD data. GPCRmd originates from a com...

By gpugrid at 2020-07-24

New paper 1/2: PlayMolecule CrypticScout: Predicting Protein Cryptic Sites Using Mixed-Solvent Molecular Simulation

Two recent papers which came out with results from GPUGRID. First, PlayMolecule CrypticScout: Predicting Protein Cryptic Sites Using Mixed-Solvent Molecular Simulations Gerard Martinez-Rosell, Silvia Lovera, Zara A. Sands, and Gianni De Fabritiis Journal of Chemical Information and Modeling 2020 60 (4), 2314-2324 DOI: 10.1021/acs.jcim.9b01209 In this paper (and the corresponding live system) GPUGRID's computations are used to power a search for elusive (transient) pockets which may become drug targets. Thanks for the contributions! Cryptic pockets are protein cavities that remain hidden in resolved apo structures and generally require the presence of a co-crystallized ligand to become visible. Finding new cryptic pockets is crucial for structure-based drug discovery to identify new ways of modulating protein activity and thus expand the druggable space. We present here a new method and associated web application leveraging mixed-solvent molecular dynamics (MD) simulations using benzene as a hydrophobic probe to detect cryptic pockets. Our all-atom MD-based workflow was systematically tested on 18 different systems and 5 additional kinases and represents the largest validation study of this kind. CrypticScout identifies benzene probe binding hotspots on a protein surface by mapping probe occupancy, residence time, and the benzene occupancy reweighed by the residence time. The method is presented to the scientific community in a web application available via www.playmolecule.org using a distributed computing infrastructure to perform the simulations. List of mo...

By gpugrid at 2020-07-24

More tasks: MDAD*

I'm filling up the task queue again- - these are called MDAD and suffix. Happy crunching! T

By gpugrid at 2020-05-21

Promote this project by posting something about it in #gpugrid on Steemit.com and get some rewards for your effort!

Based on all hosts for this project (anonymous hosts included) the following table displays some estimated projected RAC for a specific architecture. The data can be incorrect, incomplete and/or very inaccurate since we have no way to verify how much the host runs the specific project. This is based on architectures that has checked in once the last week with at least 5 hosts.

Max RAC: The highest RAC score found for a single host.

Please note that this is NOT a mining calculator, but rather a way to find hosts that can perform well on the project based on what other uses.
Architecture Max RAC  
[Amazon] Intel(R) Core(TM) i9-9900K CPU @ 3.60GHz [Family 6 Model 158 Stepping 12]
[Amazon] CUDA GeForce RTX 2080 Ti 4095MB
725,764
[Amazon] Intel(R) Core(TM) i7-9700K CPU @ 3.60GHz [Family 6 Model 158 Stepping 13]
[Amazon] CUDA GeForce RTX 2080 SUPER 4095MB
678,479
[Amazon] AMD Ryzen 9 3900X 12-Core Processor [Family 23 Model 113 Stepping 0]
[Amazon] CUDA GeForce RTX 2070 SUPER 4095MB
575,425
[Amazon] Intel(R) Core(TM) i7-8700K CPU @ 3.70GHz [Family 6 Model 158 Stepping 10]
[Amazon] CUDA GeForce GTX 1080 Ti 4095MB
531,400
[Amazon] AMD Ryzen 7 3700X 8-Core Processor [Family 23 Model 113 Stepping 0]
[Amazon] CUDA GeForce RTX 2080 SUPER 4095MB
520,528
[Amazon] Intel(R) Core(TM) i7-7700HQ CPU @ 2.80GHz [Family 6 Model 158 Stepping 9]
[Amazon] CUDA GeForce GTX 1070 4095MB
343,995
[Amazon] Intel(R) Core(TM) i7-9750H CPU @ 2.60GHz [Family 6 Model 158 Stepping 10]
[Amazon] CUDA GeForce RTX 2060 4095MB
265,928
[Amazon] Intel(R) Core(TM) i7-8750H CPU @ 2.20GHz [Family 6 Model 158 Stepping 10]
[Amazon] CUDA GeForce GTX 1060 4095MB
249,199
[Amazon] Intel(R) Core(TM) i7-6700K CPU @ 4.00GHz [Family 6 Model 94 Stepping 3]
[Amazon] CUDA GeForce GTX 1080 4095MB
191,889
[Amazon] Intel(R) Core(TM) i7-6700K CPU @ 4.00GHz [Family 6 Model 94 Stepping 3]
[Amazon] CUDA GeForce GTX 1060 6GB 4095MB
189,384

Some fields in the below table are hidden due to narrow screen. Turn your screen to display all columns.
User Name Hosts User RAC Est. Share Est. Mag Est. Reward/Day
Cafewest 0 1.95 0.00% 0.00 0.00 GRC
FotG 0 41.98 0.00% 0.00 0.00 GRC
infecticide 0 432.29 0.00% 0.04 0.01 GRC
Jason 1 1,168.94 0.00% 0.11 0.02 GRC
Alkasai 1 1,183.54 0.00% 0.11 0.02 GRC
JohnNapoli 2 2,309.05 0.00% 0.22 0.03 GRC
saddleburner 1 3,496.12 0.01% 0.34 0.05 GRC
qinmi 1 4,534.16 0.01% 0.44 0.07 GRC
max 1 4,772.91 0.01% 0.46 0.07 GRC
DGM17 1 7,022.70 0.01% 0.68 0.10 GRC
dpotseluev 2 7,150.92 0.01% 0.69 0.10 GRC
DonnPike(USAFRet) 0 7,720.30 0.01% 0.75 0.11 GRC
TheSarge 2 10,050.36 0.02% 0.97 0.15 GRC
Stefan 1 10,110.83 0.02% 0.98 0.15 GRC
LorenzoDeMartinTopranin 1 11,722.52 0.02% 1.13 0.17 GRC
nigel 1 13,056.81 0.02% 1.26 0.19 GRC
pauno 1 13,148.54 0.02% 1.27 0.19 GRC
Ricky1 0 13,664.54 0.02% 1.32 0.20 GRC
Szeg 1 14,657.44 0.02% 1.41 0.21 GRC
StuartS 1 15,735.07 0.02% 1.52 0.23 GRC
mi12078 1 16,266.79 0.02% 1.57 0.24 GRC
Rambort 1 16,422.49 0.02% 1.59 0.24 GRC
Marius 1 18,251.78 0.03% 1.76 0.26 GRC
Mithra 1 20,970.03 0.03% 2.02 0.30 GRC
eagle 1 21,510.24 0.03% 2.08 0.31 GRC
destilot 2 22,752.23 0.03% 2.20 0.33 GRC
BhagwanMike 1 22,866.85 0.03% 2.21 0.33 GRC
langerra 2 23,071.19 0.03% 2.23 0.33 GRC
skinnybohemians 3 23,950.25 0.04% 2.31 0.35 GRC
lamusmaserprojects 1 24,266.82 0.04% 2.34 0.35 GRC
jg021z34 1 25,988.82 0.04% 2.51 0.38 GRC
darkpriestess 1 28,395.71 0.04% 2.74 0.41 GRC
den777 0 29,341.97 0.04% 2.83 0.42 GRC
benhines 2 30,039.19 0.05% 2.90 0.43 GRC
marklars 1 31,533.23 0.05% 3.04 0.46 GRC
CPATC 1 32,725.67 0.05% 3.16 0.47 GRC
Neriyah 0 33,743.34 0.05% 3.26 0.49 GRC
tnmjr99a 1 35,970.95 0.05% 3.47 0.52 GRC
fgvieites 1 35,985.02 0.05% 3.47 0.52 GRC
Mithian 1 37,066.77 0.06% 3.58 0.54 GRC
AvtarTaggar 0 37,107.32 0.06% 3.58 0.54 GRC
D_S_Spence 1 37,368.73 0.06% 3.61 0.54 GRC
James300 1 40,648.86 0.06% 3.92 0.59 GRC
guttermonk 1 43,264.16 0.07% 4.18 0.63 GRC
webintje 1 48,879.61 0.07% 4.72 0.71 GRC
Chanit 1 55,756.21 0.08% 5.38 0.81 GRC
Nekrosis 1 56,185.51 0.08% 5.42 0.81 GRC
Vault13 1 67,413.66 0.10% 6.51 0.98 GRC
whoisterencelee 1 68,092.16 0.10% 6.57 0.99 GRC
kdusl 1 75,951.07 0.11% 7.33 1.10 GRC
rodrigoitao 1 78,513.56 0.12% 7.58 1.14 GRC
PaulE 1 79,130.03 0.12% 7.64 1.15 GRC
Puhenvald 1 79,459.95 0.12% 7.67 1.15 GRC
mobidreg 1 80,933.03 0.12% 7.81 1.17 GRC
BrianWhipp 1 81,019.19 0.12% 7.82 1.17 GRC
an0n 0 86,061.48 0.13% 8.31 1.25 GRC
Borgholio 1 87,950.07 0.13% 8.49 1.27 GRC
Brock 1 91,108.47 0.14% 8.79 1.32 GRC
audigo 2 93,612.98 0.14% 9.04 1.36 GRC
grc.arikado.pool 6 96,740.38 0.15% 9.34 1.40 GRC
Mathias 1 98,018.45 0.15% 9.46 1.42 GRC
PoorLostSoul1 0 99,024.44 0.15% 9.56 1.43 GRC
Marix 1 100,898.99 0.15% 9.74 1.46 GRC
raddoc 3 101,935.54 0.15% 9.84 1.48 GRC
SiKTheGreatOne 1 114,837.12 0.17% 11.09 1.66 GRC
blitzzkreeg 0 122,946.51 0.19% 11.87 1.78 GRC
aybiss 1 128,354.91 0.19% 12.39 1.86 GRC
goldfinch 1 138,552.28 0.21% 13.37 2.01 GRC
techsy730 1 141,972.30 0.21% 13.70 2.06 GRC
ThoooR 5 145,201.34 0.22% 14.02 2.10 GRC
hiro-ito 1 153,509.66 0.23% 14.82 2.22 GRC
RichardMartel 2 157,489.87 0.24% 15.20 2.28 GRC
Jenny_S 1 157,510.78 0.24% 15.20 2.28 GRC
hodor_mania 1 158,094.16 0.24% 15.26 2.29 GRC
EmpireCruncher1 1 161,562.33 0.24% 15.60 2.34 GRC
StefanoSunColturi[Lombardia] 3 168,155.43 0.25% 16.23 2.43 GRC
MichaelEdukonis 1 183,025.52 0.28% 17.67 2.65 GRC
snipatomic 1 186,405.79 0.28% 17.99 2.70 GRC
nyanblocks 1 189,172.34 0.29% 18.26 2.74 GRC
Hamburglar 1 198,464.43 0.30% 19.16 2.87 GRC
philwire 1 217,561.51 0.33% 21.00 3.15 GRC
Matt 1 219,261.26 0.33% 21.17 3.17 GRC
Mazarin 1 236,308.76 0.36% 22.81 3.42 GRC
Ted 2 245,544.10 0.37% 23.70 3.56 GRC
splife 1 247,918.29 0.37% 23.93 3.59 GRC
PhilipCSwift[Gridcoin] 0 248,376.16 0.38% 23.98 3.60 GRC
KLiK 5 258,273.77 0.39% 24.93 3.74 GRC
Shedhead 1 258,755.44 0.39% 24.98 3.75 GRC
Brordo 0 258,771.60 0.39% 24.98 3.75 GRC
rtX 0 262,736.00 0.40% 25.36 3.80 GRC
Kaddaman 1 285,861.20 0.43% 27.59 4.14 GRC
melk 4 311,906.58 0.47% 30.11 4.52 GRC
wadx 1 327,641.66 0.50% 31.63 4.74 GRC
m0nngis 0 358,301.62 0.54% 34.59 5.19 GRC
ryan 2 373,976.08 0.57% 36.10 5.41 GRC
JChojnacki 2 376,230.25 0.57% 36.32 5.45 GRC
ATAP999 1 377,226.04 0.57% 36.41 5.46 GRC
RetvariZoltan 6 385,397.15 0.58% 37.20 5.58 GRC
netbob 2 392,881.12 0.59% 37.92 5.69 GRC
Invid 1 422,209.35 0.64% 40.76 6.11 GRC
PoorLostSoul2 0 428,991.75 0.65% 41.41 6.21 GRC
Jon 2 439,516.82 0.66% 42.43 6.36 GRC
ChrisJenks 1 440,370.96 0.67% 42.51 6.38 GRC
cupricreki 3 459,358.30 0.69% 44.34 6.65 GRC
David 2 486,755.84 0.74% 46.99 7.05 GRC
mussman 1 541,279.87 0.82% 52.25 7.84 GRC
MatthiasLeimbach 2 552,622.73 0.83% 53.34 8.00 GRC
LandonCarter 1 572,693.15 0.87% 55.28 8.29 GRC
JamesC.Owens 10 643,309.43 0.97% 62.10 9.31 GRC
alberto982@hotmail.com 3 675,501.35 1.02% 65.21 9.78 GRC
kksplace 3 718,258.88 1.09% 69.33 10.40 GRC
J 1 771,868.84 1.17% 74.51 11.18 GRC
Scorch 2 1,283,799.77 1.94% 123.92 18.59 GRC
RionFamily 4 1,477,339.34 2.23% 142.61 21.39 GRC
JStateson 4 1,486,166.37 2.25% 143.46 21.52 GRC
klepel 6 1,568,191.76 2.37% 151.38 22.71 GRC
bibi 4 1,910,097.84 2.89% 184.38 27.66 GRC
FrancisNH 10 1,920,906.71 2.90% 185.42 27.81 GRC
doug 0 2,567,082.87 3.88% 247.80 37.17 GRC
Gunde 8 2,658,592.97 4.02% 256.63 38.49 GRC
grcpool.com 67 3,283,444.52 4.96% 316.95 47.54 GRC
grcpool.com-2 72 3,646,614.39 5.51% 352.01 52.80 GRC
jjch 11 5,330,148.00 8.05% 514.52 77.18 GRC
grcpool.com-3 71 5,743,846.33 8.68% 554.45 83.17 GRC

Please note that all data is as-is and comes from the Gridcoin Project blockchain. Estimations may be incorrect.
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