B7JK87 AF NFT | MOLNFT bioinformatics, blockchain

Protein-arginine kinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeibztgfmf34yfcowh3fpdksvubgms3lnlswypz2hegmsorbswcggyy/metadata.json

IPFS of structure file:

bafybeicfmgq5iwngfrkhlneghafx7ejdcpas7lvxhmr2cujja3xvsvfz74/AF-B7JK87-F1-model_v2.pdb

First NFT owner address (eip-55):

0x618720e11Fed616D6c310d644fAC3163CeE987e2

First NFT owner address (bech32):

genesis1vxrjpcgla4sk6mp3p4jyltp3v08wnplzfk4xsg

Current NFT ID #226739 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
226739
Accession (UniProt):
B7JK87
Name::
Protein-arginine kinase
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain AH820)

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 B7JK87 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7JK87|MCSB_BACC0 Protein-arginine kinase OS=Bacillus cereus (strain AH820) OX=405535 GN=mcsB PE=3 SV=1 MSLDKIMNEAISPWMKGDGPDSDIVLSSRIRLARNFKKYQFSTMQNEEETKQIQELFKKEFINKTVEPFGEFELLKMNELTPLQRRVLVEKHLISPNLAGTEYGACLLSESEHISVMLNEEDHIRIQCLFSGLQLSEALQSANQIDNWIEKEVEYAFDESLGYITSCPTNVGTGLRASVMIHLPGLVLTKRISRIIQVIQKLGLVVRGIYGEGSEALGNIFQVSNQMTLGKSEEDIIADLKSVIQQIIQQEKMARELIVQNSSIELEDKVYRSYGILANSRLIQSAEAANCLSDLRLGIDLGYIQGISRNILTELMVLTQPGILQQYAGGPLGPEERDYRRATLIRERLRIEKN