Q54PT2 AF NFT | MOLNFT bioinformatics, blockchain

Vacuolar protein sorting-associated protein 4

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeieqkkzowy3naiku4se2qs3m5pfldahjehiiyalvdtexggq25vqzpa/metadata.json

IPFS of structure file:

bafybeicof7sgprxoriy7okj6z2oqtsxpmolyx6uvvjrlxq5dccziayw72a/AF-Q54PT2-F1-model_v2.pdb

First NFT owner address (eip-55):

0xe645bAdE302F47F06933E4bDb61aa83BA1EaF354

First NFT owner address (bech32):

genesis1uezm4h3s9arlq6fnuj7mvx4g8ws74u65k75gy5

Current NFT ID #498046 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
498046
Accession (UniProt):
Q54PT2
Name::
Vacuolar protein sorting-associated protein 4
Experimental Method:
Predicted structure
Sequence source:
DICTYOSTELIUM DISCOIDEUM

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 Q54PT2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54PT2|VPS4_DICDI Vacuolar protein sorting-associated protein 4 OS=Dictyostelium discoideum OX=44689 GN=vps4 PE=3 SV=1 MGDVNFLQKAIQIVQQATEQDNAKNYAEAHRLYIQSLEWFTTALKYEKSERSKATIKAKTLEYLQRAEQLKEYLDKSKNKKPVAVGGNKSNSAGSANGAGKSAKEDDEDMDPEDKKRNDSLSSSIVTTKPNVKWDDVAGLYQAKEYLKEAVIFPIKFPQMFTGNRKPWKGILLYGPPGTGKSYLAKAVATEISSTFFSISPSDIVTKWLGDSEKLVKQLFEMAREKNNSVIFIDEVDSLCSSRNDQESESARRIKTEFLIQMNGVGNDSDGILVLAATNIPWGLDLAIRRRFEKRIYIGLPEPQARAKMFQIHIGSTPNTLVQADYKKLADLTEGYSGSDIGSLVKDAIMQPVRAVQCATHFKQIRAPSREDPSVMTDYVTPCSPGDPLAQEMTWMDIDPTKLKEPEITIADCLKSLRVIKPSVNKADLDRYVEFTNDFGQDGV