Q9D2N9 AF NFT

Vacuolar protein sorting-associated protein 33A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeife6nodi73pmfwpjugso6o3xigkx3ym5pr23tzf6shb2pigvcd6oi/metadata.json
IPFS of structure file: 
bafybeibstmk2s2zsrxydxb3sobf3jn7eqxqnfzkaqklp5mm2m7ial62ub4/AF-Q9D2N9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBF0D2e107Ce1EcD2C4369B042274201DB719AaAF
First NFT owner address (bech32): 
genesis1huxjuyruu8kd93pknvzzyapqrkm3n240z6jrgl
Current NFT ID #497568 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
497568
Accession (UniProt):
Q9D2N9
Name::
Vacuolar protein sorting-associated protein 33A
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q9D2N9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9D2N9|VP33A_MOUSE Vacuolar protein sorting-associated protein 33A OS=Mus musculus OX=10090 GN=Vps33a PE=1 SV=2 MAAHLSYGRVNLNVLREAVRRELREFLDKCAGSKAIVWDEYLTGPFGLIAQYSLLKEHEVEKMFTLKGSRLPAADVKNIIFLVRPRLELMDIIAENVLSEDRRGPTRDFHILFVPRRSLLCEQRLKDLGVLGSFIHREEYSLDLIPFDGDLLSMESEGAFKECYLEGDQTSLYHAAKGLMTLQALYGTIPQIFGKGECARQVANMMVRMKREFTGSQNSVFPVFDNLLLLDRNVDLLTPLASQLTYEGLIDEIYGIQNSYVKLPPEKFAPKKQGGGSGGKDLPTEAKKLQLNSAEELYAEIRDKNFNAVGSVLSKKAKIISAAFEERHNAKTVGEIKQFVSQLPHMQAARGSLANHTSIAELIKDVTTSEDFFDKLTVEQEFMSGIDTDKVNSYIEDCIAQKHPLIKVLRLVCLQSVCNSGLKQKVLDYYRREILQTYGYEHILTLNNLEKAGLLKAQTGGRNNYPTIRKTLRLWMDDVNEQNPTDISYVYSGYAPLSVRLAQLLSRPGWRSIEEVLRILPGPHFEERQPLPTGLQKKRQPGENRVTLVFFLGGVTFAEIAALRFLSQLEDGGTEYVIATTKLMNGNSWIEALMEKPF