P0ACW5 AF NFT

Uncharacterized protein YdcA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibgth3v6iv25uqra35z5owzrj2sktjnu6bahlj3l5ojabek72acae/metadata.json
IPFS of structure file: 
bafybeibxbrr4xwxvcyqicwigfid6ft6ohunxtdvoh2fbeay4mtcgk7sz5y/AF-P0ACW5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1BD17652d543Cd8665B16453ee1d3C453fef0ED4
First NFT owner address (bech32): 
genesis1r0ghv5k4g0xcved3v3f7u8fug5l77rk59x3wal
Current NFT ID #528322 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
528322
Accession (UniProt):
P0ACW5
Name::
Uncharacterized protein YdcA
Experimental Method:
Predicted structure
Sequence source:
SHIGELLA FLEXNERI

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 P0ACW5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0ACW5|YDCA_SHIFL Uncharacterized protein YdcA OS=Shigella flexneri OX=623 GN=ydcA PE=3 SV=1 MKKLALILFMGTLVSFYADAGRKPCSGSKGGISHCTAGGKFVCNDGSISASKKTCTN