P0A6H2 AF NFT

ATP-dependent Clp protease ATP-binding subunit ClpX

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiee3oibikuzxlaxafyhm3g2eh4jkaymc6zagbcsletljdtbyyej34/metadata.json

IPFS of structure file:

bafybeigjbyb2ijkwybgjw7vp6erfgvkwbl2d5riymuw5g4emwo7uicxrtq/AF-P0A6H2-F1-model_v2.pdb

First NFT owner address (eip-55):

0xd10960F956646DE8b64d3598984c91C2d5Af3D7b

First NFT owner address (bech32):

genesis16yykp72kv3k73djdxkvfsny3ct2670tm7h5hjv

Current NFT ID #66720 owner (web3):

0xd10960F956646DE8b64d3598984c91C2d5Af3D7b

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
66720
Accession (UniProt):
P0A6H2
Name::
ATP-dependent Clp protease ATP-binding subunit ClpX
Experimental Method:
Predicted structure
Sequence source:
ESCHERICHIA COLI O6:H1 (STRAIN CFT073 / ATCC 700928 / UPEC)

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 P0A6H2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0A6H2|CLPX_ECOL6 ATP-dependent Clp protease ATP-binding subunit ClpX OS=Escherichia coli O6:H1 (strain CFT073 / ATCC 700928 / UPEC) OX=199310 GN=clpX PE=3 SV=2 MTDKRKDGSGKLLYCSFCGKSQHEVRKLIAGPSVYICDECVDLCNDIIREEIKEVAPHRERSALPTPHEIRNHLDDYVIGQEQAKKVLAVAVYNHYKRLRNGDTSNGVELGKSNILLIGPTGSGKTLLAETLARLLDVPFTMADATTLTEAGYVGEDVENIIQKLLQKCDYDVQKAQRGIVYIDEIDKISRKSDNPSITRDVSGEGVQQALLKLIEGTVAAVPPQGGRKHPQQEFLQVDTSKILFICGGAFAGLDKVISHRVETGSGIGFGATVKAKSDKASEGELLAQVEPEDLIKFGLIPEFIGRLPVVATLNELSEEALIQILKEPKNALTKQYQALFNLEGVDLEFRDEALDAIAKKAMARKTGARGLRSIVEAALLDTMYDLPSMEDVEKVVIDESVIDGQSKPLLIYGKPEAQQASGE

MOLNFT AF v1_w

NFT data

MOLNFT P0A6H2 research and analysis (ICN3D with VR)

FASTA sequences

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