S0F332 AF NFT

Protein-arginine-phosphatase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie4hg2bn45lsljxoipc2yxyagf4paxu4mrvpwwgs23ig3pjeu3rre/metadata.json
IPFS of structure file: 
bafybeid3ghnnntkqbvrjtcmomyunyvxz4uddsjl5q64cvape4k7xydyeoa/AF-S0F332-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1C6d74B24246Fb79541e3b0466c2b0D0b51a2553
First NFT owner address (bech32): 
genesis1r3khfvjzgmahj4q78vzxds4s6z635f2nd4p4se
Current NFT ID #288271 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
288271
Accession (UniProt):
S0F332
Name::
Protein-arginine-phosphatase
Experimental Method:
Predicted structure
Sequence source:
GEOBACILLUS STEAROTHERMOPHILUS

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 S0F332 research and analysis (ICN3D with VR)

FASTA sequences

>sp|S0F332|PAP_GEOSE Protein-arginine-phosphatase OS=Geobacillus stearothermophilus OX=1422 GN=ywle PE=1 SV=1 MPYRILFVCTGNTCRSPMAAALLENKQLPGVEVKSAGVFAAEGSEASVHAKMVLKEKGIEAAHRSSQLKKEHIDWATHVLAMTSGHKDMIVERFPEAKDKTFTLKQFVSGTDGDIADPFGGPIEVYRAARDELETLIDRLAEKLQTEQ