P0AB54 AF NFT

Protein YchN

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifn2h2jjfoyjgjjuorpab7fljzsbx2dqedle2ud6fe42fo22bjy5q/metadata.json
IPFS of structure file: 
bafybeifjqxwzyykde2vscshxzpyqkycw63snbbggwq2glcasp5qx2osnfy/AF-P0AB54-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3905E99564C71Dc98C1373f42EFf754c4C8cD82d
First NFT owner address (bech32): 
genesis18yz7n9tycuwunrqnw06zalm4f3xgekpddhzv93
Current NFT ID #527373 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
527373
Accession (UniProt):
P0AB54
Name::
Protein YchN
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 P0AB54 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0AB54|YCHN_SHIFL Protein YchN OS=Shigella flexneri OX=623 GN=ychN PE=3 SV=1 MQKIVIVANGAPYGSESLFNSLRLAIALREQESNLDLRLFLMSDAVTAGLRGQKPGEGYNIQQMLEILTAQNVPVKLCKTCTDGRGISTLPLIDGVEIGTLVELAQWTLSADKVLTF