Q93GW2 AF NFT

Chaperonin GroEL

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic5qfcfp5mpky2em3ybxy47lqpiqp3pfiqorji4xpa3bc7mczaf7u/metadata.json
IPFS of structure file: 
bafybeie5uids3webh5rksp3nyedjh7opkq5mzar452xpxwwk3pc7ji66hm/AF-Q93GW2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1309d1b5deb373471d3FB243145F68f72a78D518
First NFT owner address (bech32): 
genesis1zvyardw7kde5w8flkfp3ghmg7u4834gchqzkg6
Current NFT ID #60454 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
60454
Accession (UniProt):
Q93GW2
Name::
Chaperonin GroEL
Experimental Method:
Predicted structure
Sequence source:
Campylobacter rectus

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 Q93GW2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q93GW2|CH60_CAMRE Chaperonin GroEL OS=Campylobacter rectus OX=203 GN=groEL PE=3 SV=1 MAKEIFFSDEARNRLYEGVRKLNDAVKVTMGPRGRNVLVQKSFGAPAITKDGVSVAKEIELKDALENMGAGLVKEVASKTNDEAGDGTTTATVLAHSIFKEGLRNITAGANPVEVKRGMDKQAAAIIAELKNLSRKVTDKKEIAQVATISANSDSAIGGLIADAMEKVGKDGVITVEEAKSIQDELNVVEGMQFDRGYLSPYFITNAEKMQVELQSPYILLFDKKITNLKDLLPVLEQIQKTGKPLLIIAEDIEGEALATLVVNKLRGVLNISAVKAPGFGDRRKAMLEDIAILTGGEVVSEELGRTLESATLSDLGQASSVIIDKDNTTIVNGAGEKSAIDARIIQIKAQIAETTSDYDKEKLQERLAKLSGGVAVIKVGAATETEMKEKKDRVDDALSATKAAVEEGIVIGGGAAFIKAGAKVDLNLSGDEAIGADIVRRALTAPLRQIAENAGFDAGVVANSVSVSKDDNYGFNAATGEYVDMFKAGIIDPVKVERIALQNAVSVASLLLTTEATISELKEDKPMPAMPDMSGMGGMGGMGGMM