Q2RKH2 AF NFT

Flagellar assembly factor FliW

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiawbyowl3x46oppijhfvos6fu7aalc6drg4jtaq7mk65kuyj3lrbe/metadata.json
IPFS of structure file: 
bafybeiaob5mul4kgmlwfi4p6ekjej5l3sbjbdwm53ejezsmcmiq2d3t4re/AF-Q2RKH2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0002Ae91B0FDC26aE76c036F024CE258FeB6d459
First NFT owner address (bech32): 
genesis1qqp2aydslhpx4emvqdhsyn8ztrltd4zeu3huwz
Current NFT ID #132557 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
132557
Accession (UniProt):
Q2RKH2
Name::
Flagellar assembly factor FliW
Experimental Method:
Predicted structure
Sequence source:
MOORELLA THERMOACETICA (STRAIN ATCC 39073 / JCM 9320)

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 Q2RKH2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2RKH2|FLIW_MOOTA Flagellar assembly factor FliW OS=Moorella thermoacetica (strain ATCC 39073 / JCM 9320) OX=264732 GN=fliW PE=3 SV=1 MQVMTSRFGTLEINPSDLLHFPQGIPAFEHLKEFFFYPIPENPAFTWLQAAADPEVAFLLVDPFLFFPGYAVDLPARLQEELAIKDPADALVYAVVTIPDGDIRRATANLVGPIIINPTVRLGMQLILEGTKYTTRHQLFKESFSDDESIPSSGGNEG