Q65ZW4 AF NFT

Queuine tRNA-ribosyltransferase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicc3fm5a7e23xqixxrvltagqcccr7rvylcklv6wtorze4sgj7ii7q/metadata.json
IPFS of structure file: 
bafybeifw6c6x5bi65z3llhrrt2ztvzpao3lbckakcdvxek7cepfmexdoly/AF-Q65ZW4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7FDF8b382C6a36A8772D1A265E8e480c7DF0A9C1
First NFT owner address (bech32): 
genesis10l0ckwpvdgm2saedrgn9arjgp37lp2wpyzq5qn
Current NFT ID #462130 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
462130
Accession (UniProt):
Q65ZW4
Name::
Queuine tRNA-ribosyltransferase
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 Q65ZW4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65ZW4|TGT_BORGP Queuine tRNA-ribosyltransferase OS=Borrelia garinii subsp. bavariensis (strain ATCC BAA-2496 / DSM 23469 / PBi) OX=290434 GN=tgt PE=3 SV=1 MFSVIKNDKHSNARVGFLNLPHGRVDTPCFMPVGTLGAMKGLKHSVLEKLKCNLMLANTYHLYLRPGIKTIEKYGGLHNFTTWNKNFLTDSGGFQVFSLSSLRKIDLKGVRFKSHLDGSYHYFTPEGVFAMQEIFGSDIIMPLDICSSYGIDYNEANLYTNITTNWARSTFKAYKNRKEGYNGLLFLITQGNFFKDLRKRSINDILELDSPGIAIGGISVGEPREKYLEILEYSSLLMPKEKPRYVMGIGTPHYILDAIYHGIDIFDCVNPARIARHGSLLTDNGIMRISRKEYKDDTSQVEKNCGCTLCTRYSRGYLRHLIKSKELFGIILASEHNIYYMFRLISKIRTAILNDNFLNFRTSYLKKYEEENFDE