[Rosetta@Home] hitparade van 8 december

[RedPixel]

* RedPixel pakt een stokje van de grond waar R@H op staat.

Goedemorgen zeg, ben je net wakker, zijn de stats er nog niet... Een lekker bakje koffie op deze koude zaterdagochtend gaat er wel in. Een mooie gelegenheid om het stokje weer op te pakken.
Vandaag is er niet bijzonder veel gebeurd in de stats. Geen nieuws op de rosetta site, teams overall blijft gelijk, geen beweging in de user top 30 overall, DPC staat alweer op 2 in de daily en we halen Free-DC pas over een halve maand in. Helaas net niet tijdens de jaarwisseling...
Een warm welkom voor de nieuwe leden: RedLion en pufulet
Een flusher van de dag is moeilijk aan te wijzen, want er zitten niet echt uitschieters bij... Dan gaan we maar voor Team_Elteor_Borislavj die het grootste verschil in de daily pakt.
Bijna de mijlpalers vergeten: Martijn Groenhout, Intact, Jorn, [DPC] White_Panther, Patrick de Boer en wolkje gefeliciteerd

* RedPixel legt het estafettestokje weer in het midden van de kring, wie wordt 10e deze maand?
Rest mij nog jullie veel plezier te wensen met:
[Rosetta@Home] hitparade van 8 december 2006

Subteams Daily Top 30
pos		daily	user	total		procent
1.	()	17.560,40	[DPC] Team ColdFusion	3.241.186,27	(4)	22,2 %
2.	()	6.133,89	Cureseekers	6.566.192,87	(1)	7,8 %
3.	( 1)	4.346,77	Mbc	935.169,27	(11)	5,5 %
4.	( 1)	4.193,09	Los Alcoholicos	4.174.020,15	(3)	5,3 %
5.	( 2)	3.033,61	Grutte Pier [Wa Oars]	2.929.715,40	(5)	3,8 %
6.	( 3)	2.685,87	[DPC]FOKschaap	5.997.827,46	(2)	3,4 %
7.	( 1)	2.376,48	Patman	693.393,24	(16)	3,0 %
8.	()	1.952,98	Stonie -= BigBusy.net =-	299.928,47	(33)	2,5 %
9.	( 2)	1.939,20	[DPC]Happy Hour	310.371,92	(31)	2,5 %
10.	( 1)	1.648,70	Chris	304.230,80	(32)	2,1 %
11.	( 1)	1.602,40	Lmax	368.030,30	(27)	2,0 %
12.	()	1.541,74	Metal-Phantom	1.915.592,07	(8)	1,9 %
13.	( 3)	1.308,83	Tukkertje	734.887,59	(15)	1,7 %
14.	( 1)	1.247,63	Radiation_lan	325.667,15	(29)	1,6 %
15.	( 1)	1.115,93	Team_Gaol	1.175.623,72	(10)	1,4 %
16.	( 1)	1.062,10	TeamBVD	925.560,04	(12)	1,3 %
17.	( 4)	960,87	paraiko	239.897,29	(38)	1,2 %
18.	( 1)	939,94	Astennu	114.917,99	(63)	1,2 %
19.	( 1)	886,61	DeeDee	32.134,56	(140)	1,1 %
20.	( 1)	744,04	Koen	27.005,43	(154)	0,9 %
21.	( 25)	685,93	Team_Elteor_Borislavj	2.183.639,01	(6)	0,9 %
22.	( 2)	661,72	[DPC]Remmus	216.915,91	(43)	0,8 %
23.	()	622,91	Team_Bitstorm	231.985,00	(39)	0,8 %
24.	( 20)	613,71	Plato	12.566,54	(231)	0,8 %
25.	( 4)	592,27	Cosmic Cows	594.172,28	(17)	0,7 %
26.	()	580,33	Maarten	32.380,01	(139)	0,7 %
27.	( 5)	534,32	Da_Bink	375.005,50	(25)	0,7 %
28.	( 4)	518,70	Kamukwam	28.826,81	(147)	0,7 %
29.	( 1)	499,05	Grimburgoth	226.007,90	(41)	0,6 %
30.	( 1)	495,04	Jeroen v R.	21.945,94	(168)	0,6 %
More...

Subteams Overall Top 30
pos		overall	user	daily		procent
1.	()	6.566.192,87	Cureseekers	6.133,89	(2)	11,6 %
2.	()	5.997.827,46	[DPC]FOKschaap	2.685,87	(6)	10,6 %
3.	()	4.174.020,15	Los Alcoholicos	4.193,09	(4)	7,4 %
4.	()	3.241.186,27	[DPC] Team ColdFusion	17.560,40	(1)	5,7 %
5.	()	2.929.715,40	Grutte Pier [Wa Oars]	3.033,61	(5)	5,2 %
6.	()	2.183.639,01	Team_Elteor_Borislavj	685,93	(21)	3,9 %
7.	()	2.133.342,65	BurnHard	0,00	(737)	3,8 %
8.	()	1.915.592,07	Metal-Phantom	1.541,74	(12)	3,4 %
9.	()	1.303.675,91	[DPC]TeamHC	30,63	(129)	2,3 %
10.	()	1.175.623,72	Team_Gaol	1.115,93	(15)	2,1 %
11.	()	935.169,27	Mbc	4.346,77	(3)	1,7 %
12.	()	925.560,04	TeamBVD	1.062,10	(16)	1,6 %
13.	()	807.658,16	[DPC]Team Switch	303,07	(44)	1,4 %
14.	()	759.508,37	borkescomputers	82,62	(100)	1,3 %
15.	()	734.887,59	Tukkertje	1.308,83	(13)	1,3 %
16.	()	693.393,24	Patman	2.376,48	(7)	1,2 %
17.	()	594.172,28	Cosmic Cows	592,27	(25)	1,1 %
18.	()	572.070,37	NoizyCows	0,00	(263)	1,0 %
19.	()	550.132,28	[DPC]Division_Brabant	98,29	(90)	1,0 %
20.	()	537.490,82	Dutch Power Chicken	0,00	(464)	1,0 %
21.	()	492.901,41	DPC_Schotse_Hooglanders	0,00	(395)	0,9 %
22.	()	402.559,70	MolAnO	0,00	(611)	0,7 %
23.	()	398.650,14	M_P_G	0,00	(659)	0,7 %
24.	()	398.123,86	AJSL	37,59	(122)	0,7 %
25.	()	375.005,50	Da_Bink	534,32	(27)	0,7 %
26.	()	374.157,04	JZ-power	0,00	(665)	0,7 %
27.	()	368.030,30	Lmax	1.602,40	(11)	0,7 %
28.	()	357.412,40	Basjes	246,63	(51)	0,6 %
29.	()	325.667,15	Radiation_lan	1.247,63	(14)	0,6 %
30.	()	312.432,26	Creative ID	85,02	(99)	0,6 %
More...

Teams Daily Top 15
pos		daily	team	total		procent
1.	()	86.399,50	TeAm AnandTech	33.248.588,07	(4)	4,3 %
2.	()	79.068,60	Dutch Power Cows	56.505.982,01	(3)	3,9 %
3.	()	74.317,90	Czech National Team	12.963.530,86	(7)	3,7 %
4.	()	53.407,80	Free-DC	56.826.678,13	(2)	2,6 %
5.	( 1)	51.291,10	TSC! Russia	4.237.122,78	(25)	2,5 %
6.	( 6)	48.458,90	University of Wisconsin - Madison	4.958.537,42	(21)	2,4 %
7.	( 2)	45.153,60	Canada	16.069.594,70	(6)	2,2 %
8.	( 1)	44.367,50	BOINC Synergy	10.789.470,03	(10)	2,2 %
9.	( 1)	32.980,80	Housing and Food Services	8.809.129,16	(14)	1,6 %
10.	()	31.932,70	Team MacNN	10.576.552,97	(11)	1,6 %
11.	( 2)	31.837,80	L'Alliance Francophone	8.353.288,78	(15)	1,6 %
12.	( 1)	31.699,80	Ars Technica	11.810.551,83	(8)	1,6 %
13.	()	27.147,80	SETI.Germany	6.860.720,25	(16)	1,3 %
14.	( 1)	26.535,90	USA	4.065.304,61	(28)	1,3 %
15.	( 1)	24.612,00	SETI.USA	10.185.309,83	(12)	1,2 %
More...

Teams Overall Top 15
pos		overall	team	daily		procent
1.	()	76.334.961,28	XtremeSystems	17.720,80	(24)	11,4 %
2.	()	56.826.678,13	Free-DC	53.407,80	(4)	8,5 %
3.	()	56.505.982,01	Dutch Power Cows	79.068,60	(2)	8,5 %
4.	()	33.248.588,07	TeAm AnandTech	86.399,50	(1)	5,0 %
5.	()	17.295.554,42	XPC	18.863,00	(20)	2,6 %
6.	()	16.069.594,70	Canada	45.153,60	(7)	2,4 %
7.	()	12.963.530,86	Czech National Team	74.317,90	(3)	1,9 %
8.	()	11.810.551,83	Ars Technica	31.699,80	(12)	1,8 %
9.	()	11.049.045,03	US-Distributed	20.704,00	(19)	1,7 %
10.	()	10.789.470,03	BOINC Synergy	44.367,50	(8)	1,6 %
11.	()	10.576.552,97	Team MacNN	31.932,70	(10)	1,6 %
12.	()	10.185.309,83	SETI.USA	24.612,00	(15)	1,5 %
13.	()	8.861.151,06	Phoenix Rising	21.451,10	(17)	1,3 %
14.	()	8.809.129,16	Housing and Food Services	32.980,80	(9)	1,3 %
15.	()	8.353.288,78	L'Alliance Francophone	31.837,80	(11)	1,3 %
More...

Mijlpalen
user	mijlpaal
Martijn Groenhout	20.000
Intact	20.000
Jorn	2.000
[DPC] White_Panther	2.000
Patrick de Boer	1.000
wolkje	1.000

When do we reach the 57.000.000?
We will reach this goal in 6 days.

When do we get them...
days	team
16	Free-DC
308	XtremeSystems

When do they get us...
days	team
16000	TeAm AnandTech

New members
RedLion
pufulet

Rosetta@home Links
Rosetta@home Homepage
Officiële stats
DPC Rosetta FAQ
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Bron

[Kristof]

Toch nog wat nieuws:

I recently submitted a job (BAK_1avs_TnC_loop_model) to predict the structural changes in an allosteric protein called Troponin C. This protein regulates muscle contraction and has important health consequences for cardiovascular disease.

In the near future, I will be submitting more workunits related to predicting conformational changes in allosteric proteins. For each submission, I'll describe a little about the protein's function and it's relevance to medicine or technology. As for allosteric proteins, they are particularly interesting cases for structure prediction because their function is regulated by structural changes that take place far from the active site. As a consequence these proteins have multiple functional states and we are attempting to predict the structures associated with these states. Our basic approach is to exhaustively sample the conformational away from the starting structure and look for additional energy minima. Thanks for your help in this important problem.

en

A new job was just submitted - BAK_1klf_FimH_loop_model.

This protein is a bacterial adhesion protein called FimH. The protein resides on the tip of projections that pathogenic e. coli extrude from their cell wall to stick to glycoproteins on the surface of human cells. The neat feature of this protein is that its binding is regulated by force, and the bond lifetime actually increases as force increases, called a "catch bond". This catch-like behavior is counter intuitive and contrary to how most bonds function - most bonds decrease their lifetime if you yank on them with more force. Predicting the structures of both states, active and inactive, would have huge implications for treating bacterial infections and developing novel molecular force sensors.

FimH is an allosteric protein and the structure of the unbound - "inactive" - conformation has been technically difficult to solve by experimental methods. However, we ought to be able to predict the inactive structure with the loop modeling and full-atom relax techniques that we've been adapting to look at allosteric proteins. In addition, some recent work by our collaborators has given us reason to believe that there will be a NMR structure in the not too distant future. This experimental data will be a great validation for the predicted structures that you all are solving with Rosetta@home. Thanks so much for your support in predicting this structure.

[white_panther]

en m'n 2e paal hier gehaald, ik denk dat ik tot de 5 ga en daarna weer terug naar m'n eigen project