B3MET8 AF NFT

WD repeat-containing protein 48 homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihtndyfcyzkc7pc6djevcs3fvalsb6u3agj4qvwsilmet6npeav2q/metadata.json
IPFS of structure file: 
bafybeie4veurw2kpkw6vbhug5pykp67ipwsrcgjauoi7fw7zcgwgjqlydm/AF-B3MET8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5b999158Ec64F04a963E02A3C93E4E230E1B93C5
First NFT owner address (bech32): 
genesis1twvezk8vvncy4937q23uj0jwyv8phy79t6m65l
Current NFT ID #499137 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
499137
Accession (UniProt):
B3MET8
Name::
WD repeat-containing protein 48 homolog
Experimental Method:
Predicted structure
Sequence source:
Drosophila ananassae

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 B3MET8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B3MET8|WDR48_DROAN WD repeat-containing protein 48 homolog OS=Drosophila ananassae OX=7217 GN=GF12420 PE=3 SV=1 MLTHKTCQARKKMQVSFVIRDAEEKQHRNGVNALQLDANNGKLYSAGRDAIIRVWNTRTESNEKYIQSMEHHNDWVNDIVLCCNGRNLISASCDTTVKVWNAQKGFCMSTLRTHRDYVQALAYAKDREQVASAGLDKAIFLWDVNTLTALTASNNTVTTSSLTGSKDSIYSLAMNPSGTVIVSGSTENILRIWDPRTCMRSMKLRGHTENVRCLVVSPDGNQVVSGSSDGTIKVWNLGQQRCVQTIHVHKEGVWSLLMSENFQYIISGSRDRNIIVTEMRNPSNKMLVCEEQAPVLSLGYNIDKTGVWATTWNSDIRCWKLPMYDRCTLNSSGGLDAQWTQGGTELACIKGGAAIKECTVLNDKRYIITKDSQDQVVVYDVLRVVKKEQLGAVDYEAEVKKRNKQVYIPNWFTVDLKTGMPTIVLGQEEVDCFAAWVSIEAGLPECVDPTTEIKINYGKLLLEALLEHWTPHNMPPNDMDQDMHGNGYFQVPKHTPVIFSEVGGRTVCRLLVRDAAGDSESTLLQETAPQWVTDVVIEKNIPKFLKIPFFLQPHPQMTKPERTKKDRLVANEFIQCRKVCEHVLEKVLNAETTPSGGNANNSLQNSQSDANSEGSQLPAEERIELWCNDVVVDPNMDLRTVRHFIWKQSTDLTFQYKTKQNFNYDGK