P0ACW7 AF NFT

Uncharacterized protein YdcH

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiai6zsnqjuvhsu4chhggdbzo6atjyylrnwtahn7xw5zngucjced4q/metadata.json
IPFS of structure file: 
bafybeihjqtvmx5re2exeocwns4wr4r3g2ua3rlfpmr3bhdm3z7qov3ml7a/AF-P0ACW7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb4D2d9c96b0D792d0b77e7147D724cc1F801ae58
First NFT owner address (bech32): 
genesis1knfdnjttp4uj6zmhuu286ujvc8uqrtjce36hs0
Current NFT ID #528332 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
528332
Accession (UniProt):
P0ACW7
Name::
Uncharacterized protein YdcH
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 P0ACW7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0ACW7|YDCH_SHIFL Uncharacterized protein YdcH OS=Shigella flexneri OX=623 GN=ydcH PE=4 SV=2 MFPEYRDLISRLKNENPRFMSLFDKHNKLDHEIARKEGSDGRGYNAEVVRMKKQKLQLKDEMLKILQQESVKEV