P0AAS4 AF NFT

Inner membrane protein YbbJ

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiape6ayfp722vm5qsfsidzdtgnedvspn6t6xwdqcymh3oaqi65psy/metadata.json
IPFS of structure file: 
bafybeibjgbnjb3oca52xcmtzt5y3vz5m4oki5qz4jvc6xjlnaeholrfjdi/AF-P0AAS4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x45c0Ec32B09adb915b7685B3d9063C89E41866C1
First NFT owner address (bech32): 
genesis1ghqwcv4sntdezkmkskeajp3u38jpsekpsy3u5k
Current NFT ID #524752 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
524752
Accession (UniProt):
P0AAS4
Name::
Inner membrane protein YbbJ
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 P0AAS4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0AAS4|YBBJ_SHIFL Inner membrane protein YbbJ OS=Shigella flexneri OX=623 GN=ybbJ PE=3 SV=2 MMELMVVHPHIFWLSLGGLLLAAEMLGGNGYLLWSGVAAVITGLVVWLVPLGWEWQGVMFAILTLLAAWLWWKWLSRRVREQKHSDSHLNQRGQQLIGRRFVLESPLVNGRGHMRVGDSSWPVSASEDLGAGTHVEVIAIEGITLHIRAVSS