Q9K6V7 AF NFT

Flagellar assembly factor FliW

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia4jlb4spedtri7mf32ovublylewamfvn2lskjnjchslkigy5xmau/metadata.json
IPFS of structure file: 
bafybeifddb4tbgb3nffozuwqhfw4assf7pvh6bumqnbhja7fcvbo6ybw5e/AF-Q9K6V7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4Dff1DBB225A3491870Fd31Ec92D348E5c96AE0b
First NFT owner address (bech32): 
genesis1fhl3mweztg6frpc06v0vjtf53ewfdtstk75r6j
Current NFT ID #132485 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
132485
Accession (UniProt):
Q9K6V7
Name::
Flagellar assembly factor FliW
Experimental Method:
Predicted structure
Sequence source:
Alkalihalobacillus halodurans (strain ATCC BAA-125 / DSM 18197 / FERM 7344 / JCM 9153 / C-125)

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 Q9K6V7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9K6V7|FLIW_ALKHC Flagellar assembly factor FliW OS=Alkalihalobacillus halodurans (strain ATCC BAA-125 / DSM 18197 / FERM 7344 / JCM 9153 / C-125) OX=272558 GN=fliW PE=1 SV=1 MKVIETKYNGKLEVAEDRLIAFDQGIPAFEDEKEFVLLPFEEGTPYYTLQSTKTVDLAFIIVNPFSFFPEYRVKLPEATIVQLNITNENDVAIFSLLTVKEPFSETTVNLQAPIVINANKQMGKQLVLGDTAYDRKQPLFQKELVLAKEAK