Q8K592 AF NFT

Anti-Muellerian hormone type-2 receptor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid6uu5hr5v3gaa4ol6syjyrn32x7xwky3q7lpkhdleouzhkzlxvxm/metadata.json
IPFS of structure file: 
bafybeihf6ayfiylmzbgiwsars6p3mvkx6mkelam35mdk27djlfxqrfghpu/AF-Q8K592-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa61D118041847c825681Dedc6F8f8b4D4289cd58
First NFT owner address (bech32): 
genesis15cw3rqzps37gy45pmmwxlrutf4pgnn2csqfq4u
Current NFT ID #14751 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
14751
Accession (UniProt):
Q8K592
Name::
Anti-Muellerian hormone type-2 receptor
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q8K592 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8K592|AMHR2_MOUSE Anti-Muellerian hormone type-2 receptor OS=Mus musculus OX=10090 GN=Amhr2 PE=1 SV=2 MLGTLGLWTLLPAAAQVSPNRRTCVFFEAPGVRGSTKTLGEMVDAGPGPPKGIRCLYSHCCFGIWNLTHGRAQVEMQGCRDSDEPGCESLHCDPVPRAHPNPSSTLFTCSCGTDFCNANYSHLPPSGNQGAPGPQEPQATPGGPVWMALLLLGMFLVLLLSSIILALLQRKACRVQGGSDPEPGSGGDCSEELPELAELRFSQVIQEGGHAVVWAGRLQGEMVAIKAFPPRAVAQFRAERAVYQLLGLQHDHIVRFITAGQGGPGPLPSGPLLVLELYPKGSLCHYLTQYTSDWGSSLRMALSLAEGLAFLHEERWQDGQYKPGIAHRDLSSQNVLIREDRSCAIGDLGLALVLPGLAQPPALAPTQPRGPAAILEAGTQRYMAPELLDKTLDLQDWGTALQRADVYSLALLLWEILSRCSDLRPDHRPPPFQLAYEAELGSNPSACELWALAVEERKRPNIPSTWSCSATDPRGLRELLEDCWDADPEARLTAECVQQRLAALAYPHGASSFPESPQGCPENCLSAPASAVFPCRPQQSSCLLSVQQGPGSRSPDPVGDTVQVYVNE