Q9P7V6 AF NFT

Vacuolar protein sorting-associated protein 33

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicqj2vdhwwu734t534hggjebm5loxweog2z3e7a3bwi23fjp4a7be/metadata.json
IPFS of structure file: 
bafybeihcmgldn7oqrxbjljotguvbpygd5exdszw6d22qzr6rdunptmunsm/AF-Q9P7V6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x29f94Aa16B0d73876D150F17c60A3E2f57E61933
First NFT owner address (bech32): 
genesis198u54gttp4ecwmg4putuvz379at7vxfnqp59vn
Current NFT ID #497988 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
497988
Accession (UniProt):
Q9P7V6
Name::
Vacuolar protein sorting-associated protein 33
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 Q9P7V6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9P7V6|VPS33_SCHPO Vacuolar protein sorting-associated protein 33 OS=Schizosaccharomyces pombe (strain 972 / ATCC 24843) OX=284812 GN=vps33 PE=3 SV=1 MTTDVKEKATFKLLDLIDSVTGKKSLLLERDLSGILGQIVTTNTLQEHGIPQVYWFNENIPNDIEKKTIYLCRPTYENAKLVATHVRQFQRDMLRIESTVIVLPTSNILFETVLQEEGVFGELLVTEWPLHAVPLDKDLLSLELGPEKLEESLLQRSTDALIDFERTHGRFPRVSGRGPYAAKMLELLEKTYQEEATINFGKVEGEISALYDSVLLVDRSLDRITPFLTQLTYFGFLDEILGIQQMNVKLPSSLVNRNEASNTGPMKKFSLSSSSSQITKEIRDINFNCIGPYLSKIARKLSSDFEGRRQAKTVNQIRDFVSKLGSLQSEHTSLNIHTGLAETLVQHTKNNYFQKLLQLQHLLVSHADSFTQFNLLDEIIYAEAPVEEVFRVLCLASITTNGLRRKDIDHYRREITQTYGYYHLLTFQALIDAGLLRLRQSTNISLQKSLSYSTWLNTYPLVKDEVDEQNPEDIAYTYSGYGPLSVHIAYDILKGRDNEEKILKLQNMPGTYVDKWTLDQEKVMPKNLKTNVPGKRRVLVFFIGGCTYTELAAFRLLQEKEDLYEFTFMTTGMVTGSSLIRAFIPNIESLNE