Q8SPP9 AF NFT

Thyrotropin receptor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifl4y55cicc5vsbqhhe4ipbuvaznuiddit5hnamsoxevtozp54olm/metadata.json
IPFS of structure file: 
bafybeiezncxi7rd4zemncajlgic4f3wvqukm5krj26jexsjtdc7b23saw4/AF-Q8SPP9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb3c0C983Fc44934AC589D7131C08a72544EBB92E
First NFT owner address (bech32): 
genesis1k0qvnqlugjf543vf6uf3cz98y4zwhwfw5hvdqx
Current NFT ID #480987 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
480987
Accession (UniProt):
Q8SPP9
Name::
Thyrotropin receptor
Experimental Method:
Predicted structure
Sequence source:
SUS SCROFA

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 Q8SPP9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8SPP9|TSHR_PIG Thyrotropin receptor OS=Sus scrofa OX=9823 GN=TSHR PE=1 SV=2 MSLTPLLQLALLLALPRSLRGKGCPSPPCECHQEDDFRVTCKDIHSIPPLPPNTQTLKFIETHLKTIPSRAFSNLPNISRIYLSIDATLQQLESQSFYNLSKMTHIEIRNTRSLTYINPGALKDLPLLKFLGIFNTGLRIFPDLTKVYSTDVFFILEITDNPYMTSIPANAFQGLCNETLTLKLYNNGFTSVQGHAFNGTKLDAVYLNKNKYLTVIDKDAFGGVFSGPTLLDVSYTSVTALPPKGLEHLKELIARNTWTLKKLPLSLSFLHLTRADLSYPSHCCAFKNQKKIRGILESLMCNESSIRSLRQRKSVNAVNGPFYQEYEEDLGDSSVGNKENSKFQDTHSNSHYYVFFEEQEDEIIGFGQELKNPQEETLQAFDSHYDYTVCGGSEDMVCTPKSDEFNPCEDIMGYRFLRIVVWFVSLLALLGNVFVLVILLTSHYKLTVPRFLMCNLAFADFCMGMYLLLIASVDLYTQSEYYNHAIDWQTGPGCNTAGFFTVFASELSVYTLTVITLERWYAITFAMRLDRKIRLRHAYAIMAGGWVCCFLLALLPLVGISSYAKVSICLPMDTETPLALAYIILVLLLNIVAFTIVCSCYVKIYITVRNPQYNPGDKDTKIAKRMAVLIFTDFMCMAPISFYALSALMNKPLITVTNSKILLVLFYPLNSCANPFLYAIFTKAFQRDVFILLSKFGFCKRQAQAYRGQRVSPKNSTGIQVQKVTQNMRQSLPNMQDDYELLENSHLTHKKHDQISKEYKQPVL