Q39YJ0 AF NFT

Flagellar assembly factor FliW

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia5u6ydi4g5g7y4e2cg3fs6o3wtxrh4xks2iybqbj5u2vawxyb55u/metadata.json
IPFS of structure file: 
bafybeib5t2iqk2zzvvgkrr6s3sppxs6ofk5wrfqj2mlbl3zwrztkjfrmhe/AF-Q39YJ0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xC9eF3D8ea0647A1f6b5E5a0D3E11fB1e8d83B01E
First NFT owner address (bech32): 
genesis1e8hnmr4qv3ap7667tgxnuy0mr6xc8vq7zx2pau
Current NFT ID #132540 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
132540
Accession (UniProt):
Q39YJ0
Name::
Flagellar assembly factor FliW
Experimental Method:
Predicted structure
Sequence source:
Geobacter metallireducens (strain ATCC 53774 / DSM 7210 / GS-15)

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 Q39YJ0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q39YJ0|FLIW_GEOMG Flagellar assembly factor FliW OS=Geobacter metallireducens (strain ATCC 53774 / DSM 7210 / GS-15) OX=269799 GN=fliW PE=3 SV=1 MKIETSRFGLLDIDDDKIITLPDAMPGFAETRFTLLNPEKHAPFCWLQSVDNPDLAFVMVDARQTLPDYAVSLTSDEYERLSLDEKSNTVVFLVVTLATDPADITVNLQGPIVLNPERMIAKQIVLEGSRFPSRHPLFGIAKGRETVETSCAG