P0A2G8 AF NFT

Uncharacterized protein YciH

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeift5fffc2tdgketxeoh7n5bube6rizbu3wiercz5owmvdqumyivbe/metadata.json
IPFS of structure file: 
bafybeigelajqa4jh33k4aoypcm3l7y5endu3bgflk7n4opsmuf7yqq23bm/AF-P0A2G8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xC7587739dFe644A2c24348A1d207c517fEFAb89F
First NFT owner address (bech32): 
genesis1cav8wwwluez29sjrfzsayp79zll04wyl4620yy
Current NFT ID #527664 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
527664
Accession (UniProt):
P0A2G8
Name::
Uncharacterized protein YciH
Experimental Method:
Predicted structure
Sequence source:
SALMONELLA TYPHI

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 P0A2G8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0A2G8|YCIH_SALTI Uncharacterized protein YciH OS=Salmonella typhi OX=90370 GN=yciH PE=3 SV=1 MSDSNSRLVYSTQTGRIEEPKTAPVRPKGDGIVRIQRQTSGRKGKGVCLITGIEMNDAELTKLAAELKKKCGCGGAVKEGIIEIQGDKRDLIKSLLEAKGMKVKLAGG