Q6CFT4 AF NFT

Vacuolar protein sorting-associated protein 27

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidyfqg6je4c3oppvuxvmcfpbdt5uf7sb2tyo7uthhh725tdwhraq4/metadata.json
IPFS of structure file: 
bafybeib5xwxreabcqz5zzibvjbrw3cpewdmhtzd77v5bxk7rfp3vuharhm/AF-Q6CFT4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7782F4817b37743d738e9aF842bf74bd50f2015E
First NFT owner address (bech32): 
genesis1w7p0fqtmxa6r6uuwntuy90m5h4g0yq27nqe34a
Current NFT ID #497959 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
497959
Accession (UniProt):
Q6CFT4
Name::
Vacuolar protein sorting-associated protein 27
Experimental Method:
Predicted structure
Sequence source:
YARROWIA LIPOLYTICA (STRAIN CLIB 122 / E 150)

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 Q6CFT4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6CFT4|VPS27_YARLI Vacuolar protein sorting-associated protein 27 OS=Yarrowia lipolytica (strain CLIB 122 / E 150) OX=284591 GN=VPS27 PE=3 SV=1 MSWWSSTPSIDEQVEKATSESLPSGESDLALNLEICDLIRSKTVPAKDAMRSLKRRLLNRNPNVQLAALQLTDVCIKNGGSHFLVEIASREFVDPLMAIARNDDANPEVRQRVLQLLQQWAVAFAGQLQLQQVENAVTQLKSEGVSFPSASHDNAAVTSTFIDTKAPPEWIDSDVCMESGVAFSFLNRKHHCRNCGGVFTQACCQNYITLPHFGINVPVRVCNGCFKNLKKGKSDAPIHKPVPGATTTAPSSAPPANSAPNDDEDDIQKAIRLSLQEQESYKPPPPAAATSNDDDEDMKAAIAASLRDMENERQTGQTSASAGGLSSASTTVMAPSLTDLTATEESNINLLSLLVERLKGEPQGTILREPKIQELYDTVGNLRPKLARTMGETISKYDSLVDMHAKMTTVIRYYDALLEEKLNQAYTNRQSGGYAPQPHLSHQMTGQPPHLAPHLTGQITGQPHMGYQHTGQAPYLTGQVTGQAPYLSNQPTGHLTNHYTGSAPSAPQYGGPPAQNVYNAPSYQYSGAPEYDYASSPSAPSAPGGPSAPSAPAQPKEESAPLIEL