Q65EB6 AF NFT

Flagellar assembly factor FliW

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihvdj3ue2olar5bpvqcsollieuqzfw5w6p7u5drjkru2lejd533te/metadata.json
IPFS of structure file: 
bafybeiedzgwiv2boctbtukunkz5ia65lxo6eclw4qz2tdgdjnpm2gmakiq/AF-Q65EB6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7f9595c0ebc329d2483da2c40B35379844620484
First NFT owner address (bech32): 
genesis1072ets8tcv5ayjpa5tzqkdfhnpzxypyyjwxruv
Current NFT ID #132489 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
132489
Accession (UniProt):
Q65EB6
Name::
Flagellar assembly factor FliW
Experimental Method:
Predicted structure
Sequence source:
Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46)

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 Q65EB6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65EB6|FLIW_BACLD Flagellar assembly factor FliW OS=Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46) OX=279010 GN=fliW PE=3 SV=2 MIIKTKYHGETQIQEDQTIVFKNGLPGFTGEKKFVILPLSEDSPFVVLQSVQSEELAFIVASPFVFFKDYGFDLDETTVELLEIESAEDVEVMAILTIEEPFEKSTANLMAPIVVNRRKMLAKQVILHDSSYLTKQPIGGEAC