A6X117 AF NFT

ATP-dependent Clp protease ATP-binding subunit ClpX

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiddxdaz457khw6etmkxduhjx7qdrmecxlnr2lha3bipvx5vq32dyu/metadata.json
IPFS of structure file: 
bafybeibrp5clgpl7iqiaadvphj4kbxz6ezhsllsbnv4sgtjrwbf77ykuja/AF-A6X117-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x19F44B1773A4D9415AbF9EEbe11eFb2E99963C9F
First NFT owner address (bech32): 
genesis1r86yk9mn5nv5zk4lnm47z8hm96vev0ylw2y78n
Current NFT ID #66588 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
66588
Accession (UniProt):
A6X117
Name::
ATP-dependent Clp protease ATP-binding subunit ClpX
Experimental Method:
Predicted structure
Sequence source:
Brucella anthropi (strain ATCC 49188 / DSM 6882 / CCUG 24695 / JCM 21032 / LMG 3331 / NBRC 15819 / NCTC 12168 / Alc 37)

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 A6X117 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A6X117|CLPX_BRUA4 ATP-dependent Clp protease ATP-binding subunit ClpX OS=Brucella anthropi (strain ATCC 49188 / DSM 6882 / CCUG 24695 / JCM 21032 / LMG 3331 / NBRC 15819 / NCTC 12168 / Alc 37) OX=439375 GN=clpX PE=3 SV=1 MSKVSNSGGDSKNTLYCSFCGKSQHEVRKLIAGPTVFICDECVELCMDIIREENKSSMVKSREGVPTPQEIMAVLDDYVIGQKDAKRVLSVAVHNHYKRLAHQSKSSDIELAKSNILLVGPTGCGKTYLAQTLARIIDVPFTMADATTLTEAGYVGEDVENIILKLLQAADYNVERAQRGIVYIDEVDKISRKSDNPSITRDVSGEGVQQALLKIMEGTVASVPPQGGRKHPQQEFLQVDTTNILFICGGAFAGLDKIISARGEKTSIGFGATVRSVDERRIGDVFRELEPEDLLKFGLIPEFVGRLPVIATLEDLDVDALVQILTEPKNALVKQYQRLFDMESVELSFHDDALRAIANKAVERKTGARGLRSIMEKILLDTMFELPTLEGVQEVVISGDVVDGSARPLYIYAERQDEKGNVSA