Q9VKM6 AF NFT

Vacuolar protein sorting-associated protein 72 homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidpfk46remeet777ew62dxxp3ekbmwklgre7n3tmu2ivhtxtsu2ru/metadata.json
IPFS of structure file: 
bafybeiabjvow3vseuyw33sl33igxdzvh5s74ywy3sflqqi7ueqridxqbfi/AF-Q9VKM6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x97EfFf2d74994e28D3b69b1503Bd9c292B2Df480
First NFT owner address (bech32): 
genesis1jlhl7tt5n98z35aknv2s80vu9y4jmayqa9azdg
Current NFT ID #498107 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
498107
Accession (UniProt):
Q9VKM6
Name::
Vacuolar protein sorting-associated protein 72 homolog
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 Q9VKM6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9VKM6|VPS72_DROME Vacuolar protein sorting-associated protein 72 homolog OS=Drosophila melanogaster OX=7227 GN=YL-1 PE=1 SV=1 MAASRSRRNNAGNKIAHLLNEEEEDDFYKTSYGGFQEDEEDKEYEQKDEEEDVVDSDFSIDENDEPVSDQEEAPEKKRKRGVVNTKAYKETKPAVKKETKATPALHKKRPGGGVTKRRPRPRFTVLDSGRKSIRTSTAIKTQATKIRLKELDDARKRKKKKVRVEDYMPTQEELLEEAKITEEENTKSLEKFQKMELEKKKSRPTKRTFSGPTIRYHSLTMPAMRKPTRGANPAVDSKDLAGKCERTFVTIENDFNDKVFQSLFRHKAPPKASNGICPITRLPARYFDPITQQPYYSIQAFKILREAYYMQLEQQGGGSEQPELAKWLEWRKLVKENRLKASAAASKNGDN