Q2JZU4 AF NFT

Cell division topological specificity factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifld44toxrhabzcwcyxfwchblnq5tmtfxxy4uytg4a2t3ooas66nu/metadata.json
IPFS of structure file: 
bafybeiewqevcnetl6gmgk7ovfpg4giwp2cvcpr63xjz5tzlby6rxeoum7q/AF-Q2JZU4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7f22db67e325Ff43E92f7FAEAE26CD49C39a08F8
First NFT owner address (bech32): 
genesis10u3dkelryhl586f007h2ufkdf8pe5z8cyy7ftp
Current NFT ID #235994 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
235994
Accession (UniProt):
Q2JZU4
Name::
Cell division topological specificity factor
Experimental Method:
Predicted structure
Sequence source:
RHIZOBIUM ETLI (STRAIN CFN 42 / ATCC 51251)

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 Q2JZU4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2JZU4|MINE_RHIEC Cell division topological specificity factor OS=Rhizobium etli (strain CFN 42 / ATCC 51251) OX=347834 GN=minE PE=3 SV=1 MNIFRLFNKQRTAPAARERLQVLLAHERSSAGSDLVSLLREEILAVIAKHVELDHDKVQVTIDRNEFVSTLEIDVEIPLNAAVQAA