A0R8D9 AF NFT | MOLNFT bioinformatics, blockchain

33 kDa chaperonin

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeie2sirrkqghzstrh64r346zxxrpnrdsmw4peghc2qlipubb53hq3i/metadata.json

IPFS of structure file:

bafybeigf6szbekcphxi3fsmk5wq7fokl4gauxc63c3krnilqdr6i2fd5oq/AF-A0R8D9-F1-model_v2.pdb

First NFT owner address (eip-55):

0x940bB0965EeFe24d3893a6Bf34f0F4F8890dF048

First NFT owner address (bech32):

genesis1js9mp9j7al3y6wyn56lnfu85lzysmuzgfp0tzq

Current NFT ID #178034 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
178034
Accession (UniProt):
A0R8D9
Name::
33 kDa chaperonin
Experimental Method:
Predicted structure
Sequence source:
Bacillus thuringiensis (strain Al Hakam)

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 A0R8D9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0R8D9|HSLO_BACAH 33 kDa chaperonin OS=Bacillus thuringiensis (strain Al Hakam) OX=412694 GN=hslO PE=3 SV=1 MKDYLVKALAFDGEVRAYSVRTTNTVSEAQRRHDTWRTASAALGRSLTAGTMMGAMLKGDQKLTIKVEGNGPIGPILVDAHANGDVRGYVTNPHVDFEGTEQGKLRVYQAVGTEGFVTVIKDIGMREPFIGQSPIVSGELGEDFTYYFAVSEQTPSSVGVGVLVNGDDSILAAGGFILQIMPGAQEETISFIEERLQKIPPVSTLIEQGLSPEELLYAVLGEDKVKVLETMDVQFNCTCSRERIESVLISLGKTELEQVREEEEETEVHCHFCNERYKFSKEDITNLIENL