F1QGH6 AF NFT

APC membrane recruitment protein 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiflp7hotfqelr55gbn24hoyczo2w4lniuud5zmamrzvbgrnbnmveq/metadata.json
IPFS of structure file: 
bafybeihx46vpi6oxxurl5qre42wace3sqxcq6dgnnvwigepidyxmc64ckm/AF-F1QGH6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc89196C322FE9e05035e4b8D6285E4a3d7C15eeC
First NFT owner address (bech32): 
genesis1ezgedsezl60q2q67fwxk9p0y50tuzhhvp72snl
Current NFT ID #14718 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
14718
Accession (UniProt):
F1QGH6
Name::
APC membrane recruitment protein 2
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 F1QGH6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|F1QGH6|AMER2_DANRE APC membrane recruitment protein 2 OS=Danio rerio OX=7955 GN=amer2 PE=2 SV=1 MEVQTECSEPPPCDPQPPGKLNKAAFKLFGKRKSGSSMPSIFSVRNKGESTGKAAGKTLELVRSKTHDGLITDTPSELDSHRKEESASSDQLHAGTPDGVSTAPLRSSITKSFSFFSLLRRSSSRAGDGTTTVGRRGRGLKGLFSSMRWRRKPQIQEDTLEVAKEVKEGDLILSSSSGSVKTEKDMTLTLEPLPQVFEESPLPGDSDKWKVASMQGIQGTNEVECGNCGPSVSQQHTVTEESPAPSPLRVQTGGLQNHKHSSSTHLSSIPTCALTPPMEHSTADPQSEQSVDRLCSMFTDVTSLKSFDSLTGCGDIIADPEEDSGNGGSATSSGTGSSSGGCMGRRLSGAGTNSERCSPAKPPLPPQVSSLASIHASCYMPAHQRPRAAPKKPQGSGVVAYMGGGEEMASPEGVDDADMQGLWHMLPQKDEDSPAPRRAEPVLHHAPARLEKRPPQVKALGLSKIPVSGSSKTGKQQPSRPSPPPVDKELQDAPPSDEGYWDSPTPGPEDEDSTFLRRDGLLRDSCSGDALYDLYDPDSPSAAGSDDDASSPTKSAGDLKMNLPSPKCSSSATSSFRSMKGSTSLPRDSKIPISVRQTPPSHSSSQGALSSNLSPTSTTPPKKTDAPPRTKIPVSKVPVRRSGGKSTSTSQSRK