Q9UST3 AF NFT

Vacuolar protein sorting-associated protein 52

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiedhvg6krh6cp5ngj7r7atxi76z7zveox2ijed35icbjvvcznlfse/metadata.json
IPFS of structure file: 
bafybeibia7utg34btswszu2n2qsmfily4ueqvqupnan2quv5uwd4u5ngu4/AF-Q9UST3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE56999B39685E9b46FBc6B6E6714a8DC44B1B732
First NFT owner address (bech32): 
genesis1u45envuksh5mgmauddhxw99gm3ztrdejp6gr53
Current NFT ID #498071 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
498071
Accession (UniProt):
Q9UST3
Name::
Vacuolar protein sorting-associated protein 52
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 Q9UST3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9UST3|VPS52_SCHPO Vacuolar protein sorting-associated protein 52 OS=Schizosaccharomyces pombe (strain 972 / ATCC 24843) OX=284812 GN=vps52 PE=3 SV=1 MQRASTQDVYDGSGDDLNKLDSLKSVLNDVLSSLERFQVDLDVATSDIYKVSERSNKIQVNLNNLKAVESALGAEIDGAILPPDLIKTISTGDMDHPSWNSALEKLTSFLEGGEDDSSLGNMFNSLQINKDQKKLVDKLRDKAIERIRNYIVVTIKMFRQAFVDVFPIRKHRLIANKNYYLFLFKFNRKLALELQRAYINTMNWFYLYHFEQYSRFLDKVHVLKGETIRVEEDRKGLFNLSKGAQQSYGNQMLSVNLRPQDFDMNSVLTASTMHHIESSPQYIERVYCSWELVLTEHVSSEYAFLLEYFNLSKDQQATVFAAIFEKTLHFSRKYITGLISSSIDCIGILKSIRFTQKLALQAQTNIVPVIEPHYNSMILFLWPRFQAVMDMHCESLRKTNLSVKPEEITSRPHPLSQRVAELLYSLSMLSVNVVEAEPVARSASRLAQDYVSMLQNLCKTVNDKRRQSRFLSNNYTLISTVLSGVSGNLAIEQKTYFEKLNENLTNFQ