Q9PM34 AF NFT

Nucleoid-associated protein Cj1642

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifjrjh7ruapf2uyeegi6sfm6rglw2ai2rwkzorhkvp2psppg5qyju/metadata.json
IPFS of structure file: 
bafybeie5kev2mxsivz3w7m5jjkxbsbyvbew5ohhibjou6pnoa2hpf4vruu/AF-Q9PM34-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5BeA89782341f98147F2D811B063F91F0aE7D7bF
First NFT owner address (bech32): 
genesis1t04gj7prg8ucz3ljmqgmqcleru9w04al6k7v50
Current NFT ID #508447 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
508447
Accession (UniProt):
Q9PM34
Name::
Nucleoid-associated protein Cj1642
Experimental Method:
Predicted structure
Sequence source:
CAMPYLOBACTER JEJUNI SUBSP. JEJUNI SEROTYPE O:2 (STRAIN ATCC 700819 / NCTC 11168)

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 Q9PM34 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9PM34|Y1642_CAMJE Nucleoid-associated protein Cj1642 OS=Campylobacter jejuni subsp. jejuni serotype O:2 (strain ATCC 700819 / NCTC 11168) OX=192222 GN=Cj1642 PE=3 SV=2 MDFSKMGELLNQVQEKAKNIELELANREFSAKSGAGLVKVSANGKGEIIDVSIDDSLLEDKESLQILLISAINDVLAMVAQNRSSMANDVLGGFGGMKL