A7Y2W8 AF NFT

Sodium- and chloride-dependent glycine transporter 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifnkvlw3p6onnmhrwa4m7kjp52btsihzcw2gt5itaiu3rktkbadka/metadata.json
IPFS of structure file: 
bafybeicvrwtqdxqsj4jufnnqfmnqakhp4q4easzxt5mnpi4bk2umxb46mi/AF-A7Y2W8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb92D3b0E198eC4a6c8dCd4D0aFDD2FC07B271c2C
First NFT owner address (bech32): 
genesis1hyknkrse3mz2djxu6ng2lhf0cpajw8pvfkhjz9
Current NFT ID #421089 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
421089
Accession (UniProt):
A7Y2W8
Name::
Sodium- and chloride-dependent glycine transporter 1
Experimental Method:
Predicted structure
Sequence source:
XENOPUS LAEVIS

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT A7Y2W8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7Y2W8|SC6A9_XENLA Sodium- and chloride-dependent glycine transporter 1 OS=Xenopus laevis OX=8355 GN=slc6a9 PE=2 SV=1 MGLCVNGAVPSEATKKDENLKRGNWGNQIEFVLTSVGYAVGLGNVWRFPYLCYRNGGGAFMFPYFIMLIFCGIPLFFMELSFGQFASQGCLGVWRVSPIFKGVGYGMMVVSTYIGIYYNVVICIAFYYFFASMNRVLPWTYCNNLWNTNNCAGVLSPNSSASFNLSSQQNLLNLTLGLNQTLKRTSPSEEYWRRHVLKISEDIGDFGEVQLPLLGCLGVSWLVVFLCLIRGVKSSGKVVYFTATFPYVVLTILFIRGITLEGAINGILYYLTPQWDKILHAMVWGDAASQIFYSLGCAWGGLITMASYNKFHNNCYRDSIIISITNCATSVYAGFVIFSILGFMATHLGVDVSEVADHGPGLAFVAYPEALTLLPISPLWSILFFFMLILLGLGTQFCLLETLVTAVVDEIGNDWIIRWKTLVTLGVAIIGFLLGIPLTTQAGIYWLLLMDNYAASFSLVIISCIMCIAVMYIYGHRKYFKDIEMMLGFPPPLFFQICWRFISPGIIFFILIFTVIQYRPIQYNDYLYPDWAITIGFLMALSSVICIPLYAIFKIWCSEGDTFLQRLKNAVKPSKDWGPALQEHRTGRYAQMSSTRSESNPEAQPLNPEKMKEDLSLTIQGSNGQAHTQDSKV