Q9HXB0 AF NFT

Peptide chain release factor 3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibvuo233mwx5spvx7p7sif6blwxy54n6atvizfyctherb76b7hnei/metadata.json
IPFS of structure file: 
bafybeifm6i6u27teciwrth5dttzptm72n6n7qdzwz4jieykn3shmprytl4/AF-Q9HXB0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5e58272ea25a05e06901A2eAe9f63939b344e0c6
First NFT owner address (bech32): 
genesis1tevzwt4ztgz7q6gp5t4wna3e8xe5fcxxnzlgjh
Current NFT ID #340817 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
340817
Accession (UniProt):
Q9HXB0
Name::
Peptide chain release factor 3
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS AERUGINOSA (STRAIN ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1)

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 Q9HXB0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9HXB0|RF3_PSEAE Peptide chain release factor 3 OS=Pseudomonas aeruginosa (strain ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1) OX=208964 GN=prfC PE=3 SV=1 MTTQAAEVAKRRTFAIISHPDAGKTTITEKLLLMGKAIAVAGTVKSRKSDRHATSDWMEMEKQRGISITTSVMQFPYREHMINLLDTPGHEDFSEDTYRTLTAVDSALMVLDGGKGVEPRTIALMEVCRLRDTPIVSFINKLDRDIRDPIELLDEIEAVLKIKAAPITWPIGCYKDFKGVYHLADDRIIVYVPGHGHERIETKVIEKLDSDEARAHLGDLYDNFVEELELVQGACHEFDKDAFLKGEMTPVFFGTALGNFGVDQVLDCIVDWAPQPLSRATHERSVEPTEEKFSGFVFKIQANMDPKHRDRIAFMRICSGKYEKGMKMRHVRLGKDVKIADALTFFSSEREQLEEAYAGDIIGLHNHGTIQIGDTFSEGENFGFTGIPHFAPELFRRVRLKDPLKSKQLRQGLQELAEEGATQVFFPERNNDIILGAVGVLQFDVVASRLKEEYKVECAYEAINVWSARWIECDDEKKLKEFKDKAFENLSVDGGGHLTYLAPTRVNLSLMEERWPDIRFRATREHH