A3DHL3 AF NFT

Flagellar assembly factor FliW

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihphvbg5pd2uzeu3ggpq3uwk66jyyixx2qlg3vhy7t7robe7rbtbe/metadata.json
IPFS of structure file: 
bafybeiglnc55giget4allkdq7qc3ted2riw2kuvimfrno3ze7wioepkpee/AF-A3DHL3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x468505ca20372bA8e2f8410fe3b0B2BeB58e7E6C
First NFT owner address (bech32): 
genesis1g6zstj3qxu463chcgy878v9jh66culnvskqfm6
Current NFT ID #132483 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
132483
Accession (UniProt):
A3DHL3
Name::
Flagellar assembly factor FliW
Experimental Method:
Predicted structure
Sequence source:
Acetivibrio thermocellus (strain ATCC 27405 / DSM 1237 / JCM 9322 / NBRC 103400 / NCIMB 10682 / NRRL B-4536 / VPI 7372)

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 A3DHL3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A3DHL3|FLIW_ACET2 Flagellar assembly factor FliW OS=Acetivibrio thermocellus (strain ATCC 27405 / DSM 1237 / JCM 9322 / NBRC 103400 / NCIMB 10682 / NRRL B-4536 / VPI 7372) OX=203119 GN=fliW PE=3 SV=1 MLLKTKHFGEINIDESKIIEFKDGIPGFENLKRYVVLYDGDKNSPFRWLQNVDDGELAFAVVNPFMVVKDYDFEIPDEAVESLGIESILDVMVLSIVVVPEDISKMTMNLKAPVIINTKNNKGMQVVLDTDRYSVRHYIIEELRRQEVNVGAGSDEKEK