Q56888 AF NFT

Flagellar protein FlhE

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiegff64j2uizp37w7f2q2yod7tiiatt5zaj2qnq7rw6tmsol5ue4m/metadata.json
IPFS of structure file: 
bafybeigg7chyamknap2z5qadats6ssx5nxvq3llytbmchrszva2243n5ye/AF-Q56888-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6cd61bd3022944A87892A72CF4068A4D6577a789
First NFT owner address (bech32): 
genesis1dntph5cz99z2s7yj5uk0gp52f4jh0fufc42jw4
Current NFT ID #132006 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
132006
Accession (UniProt):
Q56888
Name::
Flagellar protein FlhE
Experimental Method:
Predicted structure
Sequence source:
YERSINIA ENTEROCOLITICA

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 Q56888 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q56888|FLHE_YEREN Flagellar protein FlhE OS=Yersinia enterocolitica OX=630 GN=flhE PE=3 SV=1 MLTCLSRRVLVGLFSIGILPLNAMASGSWVADDIGITQSVRGVAISAKPLQSPVALAQDNARIVSISWRYQLMSAAPDGLQVKLCTPTRCMPLEGGSGLSRGLAGEAAATQLTFIYFIAGKGRVNPPLQVINHQVIVNYR