A7Z0J4 AF NFT

33 kDa chaperonin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiazkjnmql762t2pdwcgzhyfrvh5bnukujp5lmot2dmw24xyl672lq/metadata.json
IPFS of structure file: 
bafybeidvv5dbdwnprv2k43eayi5nafzrqpr47rv6xjn2xt6m43dzf5undi/AF-A7Z0J4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xaBB96b54Dbce4a4B66B7AfA0c273A1eeC22Cd75F
First NFT owner address (bech32): 
genesis14wukk4xmee9yke4h47svyuapampze46lncwm9r
Current NFT ID #178051 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
178051
Accession (UniProt):
A7Z0J4
Name::
33 kDa chaperonin
Experimental Method:
Predicted structure
Sequence source:
Bacillus velezensis (strain DSM 23117 / BGSC 10A6 / LMG 26770 / FZB42)

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 A7Z0J4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7Z0J4|HSLO_BACVZ 33 kDa chaperonin OS=Bacillus velezensis (strain DSM 23117 / BGSC 10A6 / LMG 26770 / FZB42) OX=326423 GN=hslO PE=3 SV=1 MDYLIKAIAYDGKVRAYAARTTDMVNEAQRRHDTWPTASAAIGRTMTASLMLGAMLKGEDKLTVKIEGGGPIGAIVADANAKGEVRAYVSNPHVHFDLNEQGKLDVRRAVGTDGTLSVVKDLGLRDYFTGQVEIVSGELGDDFTYYLVSSEQVPSSVGVGVLVNPDNTILAAGGFIIQLLPGTDEETISTIEKQLSQIEPISKLIQKGLTPEEILEEVLGQKPDVLETMPVKFHCSCSKDRFETAILGLGKKEIQDMIEEDGKAEAVCHFCNEKYLFTKEELEELRDETTR