B7J2K5 AF NFT

Chaperonin GroEL

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigy4r5uewl7ifb47bc5lprzna4q7ufjkhkyx2f7aggcmdrateb56u/metadata.json
IPFS of structure file: 
bafybeifl5w774nhy6ho7a6sxfhvocrre7kubtwzmtu4ajrrw4lusbhqam4/AF-B7J2K5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4b55D2279Ab6D7ad49C3d2b3D16574252E13E63D
First NFT owner address (bech32): 
genesis1fd2ayfu6kmt66jwr62eazet5y5hp8e3ajmlq0s
Current NFT ID #60398 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
60398
Accession (UniProt):
B7J2K5
Name::
Chaperonin GroEL
Experimental Method:
Predicted structure
Sequence source:
Borreliella burgdorferi (strain ZS7)

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 B7J2K5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7J2K5|CH60_BORBZ Chaperonin GroEL OS=Borreliella burgdorferi (strain ZS7) OX=445985 GN=groEL PE=3 SV=1 MAKDIYFNEDARKSLLSGVEKLSNAVKVTLGPKGRNVLIDKKFGSPTVTKDGVSVAREIELENPFENMGAQLLKEVAIKTNDVAGDGTTTATVLAYAIAREGLKNVSSGINPIGIKKGIDHAVNLAAEKIRQSAKKITTKEEIAQVASISANNDSYIGEKIAEAMDKVGKDGVITVEESKTFDTTISYVEGMQFDRGYLSPYFSTNKENMSVNFDDAFILIYEKKISSIKELLPVLEKVLGTNKPLLIIAEDIEGDALAALVLNSVRGALKVCAIKSPGFGDRRKAMLEDIAVLTGGVLISEELGLTLETVEIEQLGQAKTIKVDKDNTTIINTGNKEQIKERSELIKKQIEDSTSEYDKEKLQERLAKLVGGVAVINVGAVTEVELKEKKHRVEDALSATRAAVEEGVVPGGGSTLIEVAMYLDTIDTSKLSYEEKQGFEIVKRSLEEPMRQIISNAGFEGSIYIHQIKTEKKGLGFDASSFKWVNMIESGIIDPAKVTRSALQNAASIAGLLLTTECAITDIKEEKNTSGGGGYPMDPGMGMM