Q8R428 AF NFT

Follicle-stimulating hormone receptor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif642hf574eza6pbl6vcrpnifltyhrrwgi5gjutcnckphh4x3fdde/metadata.json
IPFS of structure file: 
bafybeifuqcr2bl2olh3ec3emcy6ev4uzejtmg7d6sqwh57b7rcq4enl5vi/AF-Q8R428-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1adfBe4cBefbdd71b75a4e97E381d13Eaf1fBd68
First NFT owner address (bech32): 
genesis1rt0mun97l0whrd66f6t78qw386h3l0tgr4pglf
Current NFT ID #136528 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
136528
Accession (UniProt):
Q8R428
Name::
Follicle-stimulating hormone receptor
Experimental Method:
Predicted structure
Sequence source:
CAVIA PORCELLUS

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 Q8R428 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8R428|FSHR_CAVPO Follicle-stimulating hormone receptor OS=Cavia porcellus OX=10141 GN=FSHR PE=2 SV=1 MALLLVSLLAFMSLGSGCHHRLCHCSNRVFLCQESKVTEIPSDLPRNAVELRFVLTKLRVIPKGAFSGFGDLEKIEISQNDALEVIEADVFSNLPNLHEIRIEKANNLLYINPEAFQNLPNLRYLLISNTGIRHLPAVHKIQSLQKVLLDIQDNINIHTVERNSFLGLSSESVILRLNKNGIQEIQNCAFNGTQLDDLNLSDNDNLEELPNGVFQGASGPVILDISRTRINSLPSHGLENLKKLRARSTYNLKKLPSLEKFAALVEASLTYPSHCCAFANWRRQISELHPICNKSILRQEVNDITQAGAQRVSLAEDDEFSYSRGFDTMYAEFDYDLCKEVVDVTCSPKPDAFNPCEDIMGYNILRVLIWFISILAITGNVAVLVVLTTSQYKLTVPRFLMCNLAFADLCIGIYLLLIASVDVHTRTLYHNYAIDWQTGAGCADCWLFTVFASELSVYTLTAITLERWHTITHAMQLDCKVQLRHAASIMVIGWIFSSAAALFPIFGVSSYMKVSICLPMDIDSPLSQLYVMFLLVLNVLAFVVICGCYLHIYLTVRNPNIVSSASDTRIAKRMATLIFTDFLCMAPISFFAISASLKVPLITVSKAKILLVLFYPINSCANPFLYAIFTKNFRRDLFILLSKFGCYEMQAQIYRTETSSTAHNSHPRNGHSSSVSRVTNGSSYILAPLNHLAQN