B4KRQ4 AF NFT

WD repeat-containing protein 48 homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifgwuydtappcygvj6fghpcuhdiwthmesqphycj5kcaert56egvrau/metadata.json
IPFS of structure file: 
bafybeih3hhemoyct4b7kpmbfksfanq7xywcitbtrptw7hzdibrw5qrorui/AF-B4KRQ4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2E70618e0388072122786Fd80c7EC6179fE5f698
First NFT owner address (bech32): 
genesis19ecxrrsr3qrjzgncdlvqclkxz707ta5chf6mw7
Current NFT ID #499141 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
499141
Accession (UniProt):
B4KRQ4
Name::
WD repeat-containing protein 48 homolog
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MOJAVENSIS

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 B4KRQ4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B4KRQ4|WDR48_DROMO WD repeat-containing protein 48 homolog OS=Drosophila mojavensis OX=7230 GN=GI19644 PE=3 SV=1 MLTHKTCQARKKMQVSFVIRDAEEKQHRNGVNALQLDSNNGKLYSAGRDAIIRVWNTRTEANEKYIQSMEHHNDWVNDIVLCCNGRNLISASCDTTVKVWNAHKGFCMSTLRTHRDYVQALAYAKDREQVASAGLDKAIFLWDVNTLTALTASNNTVTTSSLTGSKDSIYSLAMNPSGTVIVSGSTENILRIWDPRTCMRSMKLRGHTENVRCLVVSPDGNQVVSGSSDGTIKVWNLGQQRCIQTIHVHKEGVWSLLMSENFQYIISGSRDRNIIVTEMRNPSNKMLVCEEKAPVLSLGYNIDKTGVWATTWNSDIRCWKLPMYDRCVLSSGGMDAQWTLGGTELACIKGGAAIKECTVLNDKRYIITKDSQDQVVVYDVLRVTKKEELGVVDYEEEVKKRNKQVYIPNWFTVDLKTGMPTIVLGQEEVDCFAAWVSIEAGLPECDDPTTEIKINYGKLLLEALLEYWTPPHSMPPNEMEPDVRGNGYFQVPKHTPVIFSEVGGRTVCRLLVRDAAGDSESTLLHETAPQWVTDVVIERNIPKFLKIPFFLQPHPQMTKPERTKKDRLVANEFIQCRKVCEHVLEKVLNAETTPSAGNANNSLQNSQSDANSEGSQLPAEERIELWCNDVIVDPNMDLRTVRHFIWKQSTDLTFQYKTKQNFNFDGSIGDSLERVTRKY