E9Q793 AF NFT

Jhy protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifn76pg4zwai7fl5v2ro333e4rlzdkh47cjaicg4xip46jssr7d7u/metadata.json
IPFS of structure file: 
bafybeiffspppdpy6oapt2x25eszgssns67ofktxjexsi3v7mhghhlc4sta/AF-E9Q793-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x091554B316044d26D7307E7F5d45AEFbD0138EB3
First NFT owner address (bech32): 
genesis1py24fvckq3xjd4es0el463dwl0gp8r4nu6tt2g
Current NFT ID #196319 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
196319
Accession (UniProt):
E9Q793
Name::
Jhy protein
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 E9Q793 research and analysis (ICN3D with VR)

FASTA sequences

>sp|E9Q793|JHY_MOUSE Jhy protein OS=Mus musculus OX=10090 GN=Jhy PE=1 SV=1 MNKYKPVPKLSSQSPVHHTNLRIPPSGRPFKKEDFLNLISKDSLESDSESLPQEAKSWSDIKDQIQDKDMEPDSLEEDSPSETEEAVNRKAAHNTNREDLSAHDAGVNHSQHQVEDKYSDLRYDPNWKNKREEGQPLAGEALPGSADSSSENLPLAPLYPSREPSMGLSAGKGKEKKSPQSEASLLGSEFLSPKYERSTRQNGFFSELSDSDQEEKSSGLSQYLKSSSSHNDVFLPGSRGPRRRKSKQYFVEKNKLTLGLPMPKTDSYLQLHNKKRGETRLEQISYPVRDTDKMTVQNDKEVENTFMDPEDKWHQRAKQLKNYQEHLSQYEDTKSGNVPRGQSSDAANGQQPSRRTAKARVRKQRKHQKGLKSLGTKELVVSQNNQNNPFQQPQNQRQTADASAKHELAAQTNASNPNLQDARTLTHNPKVTSDSFVSPKQALDRALYKNSISGLNANKRRGHRREEERILYQPQPIYVFSDTHLQDFNELPHRHESPSQRAPQSDHHMNTHRSTKTKKPAKQPQAETKYKNIEMLWKFHSSSDMEPASASPDSRLAQIMEQHQQALMQLAEVQPSEGSLASIILPPILSRVESESQLNSERSHRHQVKMARSNSEGYLLQLERGKRHRKRSSTKSSKLKGYQKRDVKLGGLGPDFASVRDKMQMLMQQKEYAQQVKDYNMKALSILSKPQTSKTESKSAISRKKALDYAKTIPKPKPPNLPDQTAKKTKNSRHSEKEGGLPEISLLEILQSRHEREKQAVAAFKVLHIV