B7LN84 AF NFT

Chromosome partition protein MukF

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiceqjytrzdowcehlyxyh2ufmcnrbunsgcfgu6c6tyt6m5pnlg6ppu/metadata.json
IPFS of structure file: 
bafybeicpvus77g3qkae4mhdv4cybrhrmtydzurq6igbmrtx2wesx4k4hw4/AF-B7LN84-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa61D118041847c825681Dedc6F8f8b4D4289cd58
First NFT owner address (bech32): 
genesis15cw3rqzps37gy45pmmwxlrutf4pgnn2csqfq4u
Current NFT ID #249572 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
249572
Accession (UniProt):
B7LN84
Name::
Chromosome partition protein MukF
Experimental Method:
Predicted structure
Sequence source:
Escherichia fergusonii (strain ATCC 35469 / DSM 13698 / CCUG 18766 / IAM 14443 / JCM 21226 / LMG 7866 / NBRC 102419 / NCTC 12128 / CDC 0568-73)

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 B7LN84 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7LN84|MUKF_ESCF3 Chromosome partition protein MukF OS=Escherichia fergusonii (strain ATCC 35469 / DSM 13698 / CCUG 18766 / IAM 14443 / JCM 21226 / LMG 7866 / NBRC 102419 / NCTC 12128 / CDC 0568-73) OX=585054 GN=mukF PE=3 SV=1 MSEFSQTVPELVAWARKNDFSISLPVDRLSFLLAVATLNGERLDGEMSEGELVDAFRHVSDAFEQTSETIGVRANNAINDMVRQRLLNRFTSEQAEGNAIYRLTPLGIGITDYYIRQREFSTLRLSMQLSIVAGELKRAADAAEEGGDEFHWHRNVYAPLKYSVAEIFDSIDLTQRLMDEQQQQVKDDIAQLLNKDWRAAISSCELLLSETSGTLRELQDTLEAAGDKLQANLLRIQDATMTHDDLHFVDRLVFDLQSKLDRIISWGQQSIDLWIGYDRHVHKFIRTAIDMDKNRVFAQRLRQSVQTYFDEPWALTYANADRLLDMRDEEMALRDEEVTGELPEDLEYEEFNEIREQLAAIIEEQLAVYKTRQVPLDLGLVVREYLAQYPRARHFDVARIVIDQAVRLGVAQADFTGLPAKWQPINDYGAKVQAHVIDKY