Q0P9H9 AF NFT

Flagellar assembly factor FliW

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic5d4q2xwqyt73hjwkh5ba6y4nhyuh4e7lwybblwohtm3sofkwhje/metadata.json
IPFS of structure file: 
bafybeihx3biahdl3swg5xmss277sq3w7isstbexxp4b4qn6inrgclggjme/AF-Q0P9H9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0a5E8971Bc8668384f357c645750797DdfA6b629
First NFT owner address (bech32): 
genesis1pf0gjuduse5rsne403j9w5re0h06dd3f4ndtvj
Current NFT ID #132510 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
132510
Accession (UniProt):
Q0P9H9
Name::
Flagellar assembly factor FliW
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 Q0P9H9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0P9H9|FLIW_CAMJE Flagellar assembly factor FliW OS=Campylobacter jejuni subsp. jejuni serotype O:2 (strain ATCC 700819 / NCTC 11168) OX=192222 GN=fliW PE=1 SV=1 MTLAVKCPILGFEETKNMEFSTIDEVFVRLKSLDGKDFSFVLINPYLIRPDYEFDIPTYYQELLSLTPESNMKIFNIVAIAKSIEESTVNFLAPVVINLDNNTMVQVILDTVNYPDFFQADQIANYIKK