Q65ZY7 AF NFT

Peptidyl-tRNA hydrolase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifspeduwwmvr7xoozpjs6wozyvw7aktrc6zr5ucwzcjuo4kcvd75e/metadata.json
IPFS of structure file: 
bafybeia4z7om6jeapycnat3oco5lh27xtvgp7rboo7fym3y6yvqe47tfhm/AF-Q65ZY7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf0499937360e4cB9525C05fF483fd933882978d7
First NFT owner address (bech32): 
genesis17pyejdekpextj5juqhl5s07exwyzj7xh39lxn4
Current NFT ID #318758 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
318758
Accession (UniProt):
Q65ZY7
Name::
Peptidyl-tRNA hydrolase
Experimental Method:
Predicted structure
Sequence source:
Borrelia garinii subsp. bavariensis (strain ATCC BAA-2496 / DSM 23469 / PBi)

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 Q65ZY7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65ZY7|PTH_BORGP Peptidyl-tRNA hydrolase OS=Borrelia garinii subsp. bavariensis (strain ATCC BAA-2496 / DSM 23469 / PBi) OX=290434 GN=pth PE=3 SV=1 MILGLGNPGLEFSLTRHNVGFSLLDRIISKNGLFLKRKKKYEYSEMRMISGRVILVKPLTYMNLSGSLFPSIFSDFYMCIKNLLVVLDNVDLPLGKCRLKERGGASTHNGLKSISSILGSSNYSRLYIGVGSNVMRDIKSFVLSRFCKDEIDRLEKLYDFLSDELIDISEANFKNKVQKINSSNF