GPCR Sequence:

>sp|P28223|5HT2A_HUMAN 5-hydroxytryptamine receptor 2A OS=Homo sapiens GN=HTR2A PE=1 SV=2
MDILCEENTSLSSTTNSLMQLNDDTRLYSNDFNSGEANTSDAFNWTVDSENRTNLSCEGC
LSPSCLSLLHLQEKNWSALLTAVVIILTIAGNILVIMAVSLEKKLQNATNYFLMSLAIAD
MLLGFLVMPVSMLTILYGYRWPLPSKLCAVWIYLDVLFSTASIMHLCAISLDRYVAIQNP
IHHSRFNSRTKAFLKIIAVWTISVGISMPIPVFGLQDDSKVFKEGSCLLADDNFVLIGSF
VSFFIPLTIMVITYFLTIKSLQKEATLCVSDLGTRAKLASFSFLPQSSLSSEKLFQRSIH
REPGSYTGRRTMQSISNEQKACKVLGIVFFLFVVMWCPFFITNIMAVICKESCNEDVIGA
LLNVFVWIGYLSSAVNPLVYTLFNKTYRSAFSRYIQCQYKENKKPLQLILVNTIPALAYK
SSQLQMGQKKNSKQDAKTTDNDCSMVALGKQHSEEASKDNSDGVNEKVSCV

Estimation of the GPCR-I-TASSER model for P28223

C-score = -2.080
TM-score = 0.470 (estimated)
RMSD = 12.2 A (estimated)

Here, C-score is a confidence score of the GPCR-I-TASSER predictions which is typically in [-5,2]. TM-score and RMSD measure how close the model is to the native structure and both are estimated based on the C-score. TM-score is in [0,1] with a value >0.5 implying the model of correct topology. The TM-score and RMSD estimations are made only for the first model because absolute values of TM-score and RMSD for the lower-rank models do not strongly correlate with the C-score. The models are ranked based on the structure density of GPCR-I-TASSER simulations.

The top ten threading templates used by GPCR-I-TASSER

Rank	PDB ID	Z-score	Download Templates
1	2ks9A	2.268	template1
2	2rh1_A	6.508	template2
3	2ks9a	1.751	template3
4	3ny8a	5.514	template4
5	3emlA	3.662	template5
6	2ks9A	3.567	template6
7	2rh1_A	5.689	template7
8	hs2rh1	3.831	template8
9	3ny8a	5.556	template9
10	2rh1A1	2.221	template10
(a) Rank of templates represents the top ten threading templates used by GPCR-I-TASSER. (b) Z-score is the normalized Z-score of the threading alignments. Alignment with a Normalized Z-score >1 mean a good alignment and vice versa. (c) Download Templates provides the 3D structure of the aligned regions of the threading templates.

Reference:

J Zhang, J Yang, R Jang, Y Zhang, Novel hybrid approach to G protein-coupled receptor structure modeling and case study on human genome, submitted, 2014.

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