B4P7H8 AF NFT

WD repeat-containing protein 48 homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifpwee2xkzqshjzkma2evz7mxxjyp2sryotvlkctizfcuosl2rc6q/metadata.json
IPFS of structure file: 
bafybeibe4kokxphekdx5xhxh7athu4spb4tefjsdce6o2c2dmujutkmr74/AF-B4P7H8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5c4adF1416281C09AE8eE1cbb80fF7e44cE86F97
First NFT owner address (bech32): 
genesis1t39d79qk9qwqnt5wu89msrlhu3xwsmuhlku3xz
Current NFT ID #499147 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
499147
Accession (UniProt):
B4P7H8
Name::
WD repeat-containing protein 48 homolog
Experimental Method:
Predicted structure
Sequence source:
Drosophila yakuba

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 B4P7H8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B4P7H8|WDR48_DROYA WD repeat-containing protein 48 homolog OS=Drosophila yakuba OX=7245 GN=GE13034 PE=3 SV=1 MLTHKTCQARKKMQVSFVIRDAEEKQHRNGVNALQLDANNGKLYSAGRDAIIRVWNTRTDSSEKYIQSMEHHNDWVNDIVLCCNGRNLISASCDTTVKVWNAQKGFCMSTLRTHRDYVQALAYAKDREQVASAGLDKAIFLWDVNTLTALTASNNTVTTSSLTGSKDSIYSLAMNPSGTVIVSGSTENILRIWDPRTCMRSMKLRGHTENVRCLVVSPDGNQVVSGSSDGTIKVWNLGQQRCVQTIHVHKEGVWSLLMSENFQYIVSGSRDRNIIVTEMRNPSNKTLVCEEQAPVLSLGYNIDKTGVWATTWNSDIRCWKLPMYDRCTMNSSGGMDAQWTQGGTEVACIKGGAAIKECAVLNDKRYIITKDSQDQVVVYDVLRVVKKEQLGAVDYEAEVKKRNKQVYIPNWFTVDLKTGMPTIVLGQEEVDCFSAWVSIEAGLPECVDPTTEIKINYGKLLLEALLEYWTPPHSIPPNEMEPDMHGNGYFQVPKHTPVIFSEVGGRTVCRLLVRDAAGDSESTLLHETAPQWVTDVVIEKNIPKFLKIPFFLQPHPQMTKPERTKKDRLVANEFIQCRKVCEHVLEKVLNAETTPSGGNANNSLQNSQSDANSEGSQLPAEERIELWCNDVVVDPNMDLRTVRHFIWKQSTDLTFQYKTKQNFNYDGSIGDSLERVTRKY