Q0HEQ4 AF NFT | MOLNFT bioinformatics, blockchain

Chaperonin GroEL

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeieweql2xju5wnc6nlth4ig47nygm7eont53uqj6v6y3wmgtjih3he/metadata.json

IPFS of structure file:

bafybeigyztcz645xvmfc2lpfao4dpnkui7ngqegthqr236v37b3ldo6nza/AF-Q0HEQ4-F1-model_v2.pdb

First NFT owner address (eip-55):

0x32F84e4b669FE2B552876B642b3D7D3C3c2FB08D

First NFT owner address (bech32):

genesis1xtuyujmxnl3t2558ddjzk0ta8s7zlvydfgtmww

Current NFT ID #60906 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
60906
Accession (UniProt):
Q0HEQ4
Name::
Chaperonin GroEL
Experimental Method:
Predicted structure
Sequence source:
Shewanella sp. (strain MR-4)

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 Q0HEQ4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0HEQ4|CH60_SHESM Chaperonin GroEL OS=Shewanella sp. (strain MR-4) OX=60480 GN=groEL PE=3 SV=1 MAAKEVVFGNDARVKMLAGVNILANAVKVTLGPKGRNVVLDKSFGSPLITKDGVSVAKEIELEDKFENMGAQMVKEVASKANDAAGDGTTTATVLAQAIVTEGLKAVAAGMNPMDLKRGIDKAVAAAVIELKNLSQDCADSKAIAQVGTISANSDESIGEIIATAMEKVGKEGVITVEEGQALENELDVVEGMQFDRGYLSPYFINKPETGSVELDHPFVLLVDKKISNIRELLPILEGLAKTGKPLLIVAEDVEGEALATLVVNNMRGIVKVAAVKAPGFGDRRKAMLQDVAILTGGTVIAEEIGLELEKATLEDLGTAKRVVITKDNTTIIDGNGEQAQIEARVSQIKQQIEESTSDYDKEKLQERMAKLAGGVAVIKVGAATEVEMKEKKARVEDALHATRAAVEEGVVPGGGVALVRVASKIADVEVANEDQKHGVVIALRAMEAPLRQIATNAGEEASVVANTVKNGSGNYGYNAGNDTYGDMLEMGILDPTKVTRSALQFAASIAGLMITTEAMVAELPKADAPDMGGMGGMGGMGGMM