Q0BBQ3 AF NFT

Peptidyl-tRNA hydrolase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif372sccjbui6axujjkjfa4pzghghso7ijh2ji3aodvoxrn74keje/metadata.json
IPFS of structure file: 
bafybeihifqhn65smyjvgwvfjocbspocmlthk3wgbi5cjxru55fklwbymsy/AF-Q0BBQ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7F60C0720a0abd27E21935aE2E36C4d984db2FEC
First NFT owner address (bech32): 
genesis10asvqus2p27j0csexkhzudkymxzdktlvcjpt06
Current NFT ID #318787 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
318787
Accession (UniProt):
Q0BBQ3
Name::
Peptidyl-tRNA hydrolase
Experimental Method:
Predicted structure
Sequence source:
BURKHOLDERIA AMBIFARIA (STRAIN ATCC BAA-244 / AMMD)

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 Q0BBQ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0BBQ3|PTH_BURCM Peptidyl-tRNA hydrolase OS=Burkholderia ambifaria (strain ATCC BAA-244 / AMMD) OX=339670 GN=pth PE=3 SV=1 MIKLIVGLGNPGAEYTATRHNAGFWLVDQLAREAGATLRDERRFHGFYAKARLHGEEVHLLEPQTYMNRSGQSVVALASFFKILPDQILVAHDELDLPPGTVKLKLGGGSGGHNGLKDISAHLSSQQYWRLRIGIGHPRDLIPEGARAGAKPDVANFVLKPPRREEQDVIDASIERALAVMPMVVKGELDRATMQLHRN