Q5GJ04 AF NFT

Follicle-stimulating hormone receptor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihrimjhwixakoowiiwzvvxvysok54b2pyzahkswius6uqvxzjzdiu/metadata.json
IPFS of structure file: 
bafybeih3hfeqbkv33bminvttjjoxubhuxihloebz2o54zssm4zpwf7g6h4/AF-Q5GJ04-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x92eF3937744b956cB1E76Cc4107c8FF17A74F07d
First NFT owner address (bech32): 
genesis1jthnjdm5fw2kev08dnzpqly079a8fura30f25r
Current NFT ID #136531 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
136531
Accession (UniProt):
Q5GJ04
Name::
Follicle-stimulating hormone receptor
Experimental Method:
Predicted structure
Sequence source:
FELIS CATUS

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 Q5GJ04 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5GJ04|FSHR_FELCA Follicle-stimulating hormone receptor OS=Felis catus OX=9685 GN=FSHR PE=2 SV=1 MTFLLVSLLAFLSLGSGCHHRICHCWHRVFLCQESKVTEIPSDLPRNAVELRFVLTKLRVIPKGAFSGFGDLEKIEISQNDVLEVIEANVFFNLSKLHEIRIEKANNLLYIDTDAFQNLPNLRYLLISNTGIKHFPAVHKIQSLQKVLLDIQDNINIHTVERNSFMGLSFESMILWLNKNGIQEIHNCAFNGTQLDELNLSDNINLEELPNDVFQGASGPVILDISRTRIHSLPSYGLENIKKLRAKSTYNLKKLPSLDKFVALMEASLTYPSHCCAFANWRRPISELHPICNKSILRQEVDDMTQARGQRVSLAEDEESSYTKGFDMMYSEFDYDLCNEVVDVTCSPKPDAFNPCEDIMGYDILRVLIWFISILAITGNIIVLMILITSQYKLTVPRFLMCNLAFADLCIGIYLLLIASVDIYTKSQYHNYAIDWQTGAGCDAAGFFTVFASELSVYTLTVITLERWHTITHAMQLECKVQLRHAAIIMLLGWIFAFMVALFPIFGISSYMKVSICLPMDIDSPLSQLYVMSLLVLNVLAFVVICCCYAHIYLTVRNPNIVSSSSDTKIAKRMAMLIFTDFLCMAPISFFAISASLKVPLITVSKSKILLVLFYPINSCANPFLYAIFTKNFRRDFFILLSKFGCYEVQAQTYRSETSSTAHNFHPRNGHCPPAPRVTNSSNYILIPLRHLAKN