P0ACW9 AF NFT

Uncharacterized protein YdfA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifldbfyenj4xf5iyjxp3trqqa3dep5io5dtro2oebrut6x6zz64hm/metadata.json
IPFS of structure file: 
bafybeieebaydtnbzzv6zxwc5dbdxihe35elfhbl6pgp4bdzlowfij6yhmy/AF-P0ACW9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3298b100681D3A2372Bba3b2f282750dD71629B9
First NFT owner address (bech32): 
genesis1x2vtzqrgr5azxu4m5we09qn4pht3v2de5478nd
Current NFT ID #528435 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
528435
Accession (UniProt):
P0ACW9
Name::
Uncharacterized protein YdfA
Experimental Method:
Predicted structure
Sequence source:
ESCHERICHIA COLI O157:H7

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 P0ACW9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0ACW9|YDFA_ECO57 Uncharacterized protein YdfA OS=Escherichia coli O157:H7 OX=83334 GN=ydfA PE=4 SV=1 MDTIDLGNNESLVYGVFPNQDGTFTAMTYTKSKTFKTENGARRWLERNSGE