Q28616 AF NFT

Anti-Muellerian hormone type-2 receptor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigvztpzzz3ynr4psxgxtiy3wbmz6igzcsso5tli5sjsddbd3l44pm/metadata.json
IPFS of structure file: 
bafybeihdtsr5xnxt6ptv6bi3nn65hekmyyzywzsk2ofdtwrxsddpx2m3dm/AF-Q28616-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf96C5834Ad687e9EbeF5b6A56c77eb1420b55e4A
First NFT owner address (bech32): 
genesis1l9k9sd9ddplfa0h4k6jkcaltzsst2hj27x49w2
Current NFT ID #14752 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
14752
Accession (UniProt):
Q28616
Name::
Anti-Muellerian hormone type-2 receptor
Experimental Method:
Predicted structure
Sequence source:
ORYCTOLAGUS CUNICULUS

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 Q28616 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q28616|AMHR2_RABIT Anti-Muellerian hormone type-2 receptor OS=Oryctolagus cuniculus OX=9986 GN=AMHR2 PE=2 SV=1 MLGTLGLWALLPAAVQAPPNRRTCVFFEAPGVRGSTKTLGELLDAGPGPPRVIRCLYSRCCFGIWNLTRDQAQVEMQGCRDSDEPGCESLSCDPSPRARASSGSTLFTCSCGADFCNANYSHLPPLGGPGTPGPQGPQAAPGESPWMALALLGLVLLLLLLLGGIVVALLQRKAYRVQSGPEPEPDSGRDCSEELPELPQLCFSQVIREGGHAAVWAGQLQGELVAIKVFPRRAVAQFRAERALYELPGLQHNHVVRFIAAGQGGPGPLPSGPLLVLELHPKGSLCQYLSQHTSDWGSSLRMALSLAQGLAFLHEERWQDGQYKPGIAHRDLSSQNVLIREDGSCAIGDLGLALVLPGFAQPRAWAPPQPRGPAAIMEAGTQRYMAPELLDKSLDLQDWGTALRRADVYSLALLLWEILSRCPDLRPDGRPPPFQLAYEAELGSAPTTCELWALAVEERRRPDIPSSWCCFATDPGGLRELLEDCWDADPEARLTAECVQQRLVALVHPQEAQPCPEGRPHSHPEDWPPAPAPAPALLPGSPQPGACHFGVQQGLCSRNPGAACASSDV