A7Z9A7 AF NFT

Flagellar assembly factor FliW

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib7wt66br5yfbkzfajxde6kgrnv73py4hc2grdhqtha6hhfgmv3fe/metadata.json
IPFS of structure file: 
bafybeide4bunrohis77rywrzhmkq7qbjewekv4t2hxp2nspnltny66yakq/AF-A7Z9A7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf4ED13986579E8e227b3ED6c02276c648754EC27
First NFT owner address (bech32): 
genesis17nk38xr9085wyfana4kqyfmvvjr4fmp80usw7n
Current NFT ID #132492 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
132492
Accession (UniProt):
A7Z9A7
Name::
Flagellar assembly factor FliW
Experimental Method:
Predicted structure
Sequence source:
Bacillus velezensis (strain DSM 23117 / BGSC 10A6 / LMG 26770 / FZB42)

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 A7Z9A7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7Z9A7|FLIW_BACVZ Flagellar assembly factor FliW OS=Bacillus velezensis (strain DSM 23117 / BGSC 10A6 / LMG 26770 / FZB42) OX=326423 GN=fliW PE=3 SV=1 MIIKTKYHGEIRIDEGQIISFENGLPGFNDETQFVVLPLSEDSPFLALQSVKQEHIAFIVASPFIFFKGYEFDIDHATLELLHIEDIEDVEVMAILTLEEPFENTTANLKAPIIVNKKEMKAKQIILHDASYETKHLIGGGSC