Q62893 AF NFT

Anti-Muellerian hormone type-2 receptor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiajtcmkhwvotgru6ydk4ukxq42farudz5ekwnhaavloi5dddootdy/metadata.json
IPFS of structure file: 
bafybeiecyfxp64twubiviyrnbsz5iqt6ypldcsei52bdv6d6wgtznk3asi/AF-Q62893-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc0F878C3f3E2a1874e2A6daC80d429e553DdB0D5
First NFT owner address (bech32): 
genesis1cru83slnu2scwn32dkkgp4pfu4famvx4x7nssv
Current NFT ID #14753 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
14753
Accession (UniProt):
Q62893
Name::
Anti-Muellerian hormone type-2 receptor
Experimental Method:
Predicted structure
Sequence source:
RATTUS NORVEGICUS

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 Q62893 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q62893|AMHR2_RAT Anti-Muellerian hormone type-2 receptor OS=Rattus norvegicus OX=10116 GN=Amhr2 PE=2 SV=1 MLGTLGLWTLLPAAAQVSPNRRTCVFFEAPGVRGSTKTLGEVVDAGPGPPKGIRCLYSHCCFGIWNLTHGRAQVEMQGCLDSDEPGCESLHCDPVPRAHPSPSSTLFTCSCGTDFCNANYSHLPPSGNRGAPGPQEPQATPGGPIWMAQLLLGVFLVLLLSIIILALLQRKACRVQGGSDPEPEPGSGGDCSEELPELAELRFSQVIQEGGHAVVWAGRLQGEMVAIKAFPPRAVAQFRAERAVYQLLGLQHNHIVRFITAGQGGPGPLPSGPLLVLELYPKGSLCHYLTQYTSDWGSSLRMALSLAEGLAFLHGERWQDGQYKPGIAHRDLSSQNVLIREDRSCAIGDLGLALVLPGLAQPPALAPTQPRGPAAILEAGTQRYMAPELLDKTLDLQDWGTALQRADVYSLALLLWEILSRCSDLRPDHRPPPFQLAYEAELGSNPSACELWALAVAERKRPNIPSSWSCSATDPRGLRELLEDCWDADPEARLTAECVQQRLAALAYPQVASSFPESCPQGCPENCPAAPASAAFPCRPQQSSCLLSVQQGSGSKS