Q9URW7 AF NFT

Vacuolar protein sorting-associated protein 17

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibp24lxs3mx2p7fil7wloxqhlsiqgy2pwajf42aqyrtsv3ef6inse/metadata.json
IPFS of structure file: 
bafybeiextczllmjlh7wqequgy4fdedd4xr6o6txi4tp2sw3f7qmvwtmnwu/AF-Q9URW7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3298b100681D3A2372Bba3b2f282750dD71629B9
First NFT owner address (bech32): 
genesis1x2vtzqrgr5azxu4m5we09qn4pht3v2de5478nd
Current NFT ID #497907 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
497907
Accession (UniProt):
Q9URW7
Name::
Vacuolar protein sorting-associated protein 17
Experimental Method:
Predicted structure
Sequence source:
SCHIZOSACCHAROMYCES POMBE (STRAIN 972 / ATCC 24843)

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 Q9URW7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9URW7|VPS17_SCHPO Vacuolar protein sorting-associated protein 17 OS=Schizosaccharomyces pombe (strain 972 / ATCC 24843) OX=284812 GN=vps17 PE=3 SV=1 MSSQHSTDDLMNSHVFSGGFSTLDDKGFQDVPIHTDMPGSISVEPSSEDANVGSVNGNINETPVFEADRLIAEATMNPSAASSTTGENSISQTGSGPFLRIRIVDIEAENSKDPVIKMNVQTTLPAYRSKLYKNVRRTHAEFKKFAKYLISTHPECLIPAVPEAKTSVSSGIKEDLIYLKSGLQSWLNYVSTNPNLLYDPELQLFVESDYGYSPLINTGNPTSGLKRKALKQFPLPPDPCQALANLRPIVKSFYKNAKDAEIKLEKLVNRKQSLALTHADLGQSLIDYSVEEQHNGLANALNRVGKMLQAISDVRIMQSSKQLVTLADSLCYASDNAFVVKEILSNRHILMRDLISSKNQTNSYLSAANRLQDSPKISKARTDDALQALEVARVHEKLLSDKVDFVTLNLVKESKTYTKKTSVSLQKAIREYVEKEAYYERRLLSIMESIRPHIRNIDPFGGLSRLGREEYPRRLSNPPPSQKTNQDAWTNRKRPGYSSSFDGSSQSTFNPSNNDGAHNTSENADELVEPPIGNERLDPKSVANLLNAI