A9HBJ2 AF NFT

Queuine tRNA-ribosyltransferase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie5y77xoimqle3y4nz47ulm67jqnbatexqt26asrzrkb2ruhmwtpq/metadata.json
IPFS of structure file: 
bafybeihafh5kra3xqj6jf4p2nhyqs6g2fq7v7aexkwuvghtvumw7j3tnqm/AF-A9HBJ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9CA2467f4cAF0495d158c09519027eABE3DCcdfb
First NFT owner address (bech32): 
genesis1nj3yvl6v4uzft52ccz23jqn7403aen0mqf0a7f
Current NFT ID #462247 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
462247
Accession (UniProt):
A9HBJ2
Name::
Queuine tRNA-ribosyltransferase
Experimental Method:
Predicted structure
Sequence source:
Gluconacetobacter diazotrophicus (strain ATCC 49037 / DSM 5601 / CCUG 37298 / CIP 103539 / LMG 7603 / PAl5)

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 A9HBJ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9HBJ2|TGT_GLUDA Queuine tRNA-ribosyltransferase OS=Gluconacetobacter diazotrophicus (strain ATCC 49037 / DSM 5601 / CCUG 37298 / CIP 103539 / LMG 7603 / PAl5) OX=272568 GN=tgt PE=3 SV=1 MSTAFRWVEQARVGRARAGHLHTAHGVVPTPTFMPVGTVGTVKAMTMDSVRSTGAGIVLGNTYHLMLRPGAEKVRALGGLHRFMDWPGPILTDSGGFQVMSLGALRKLDQDGVTFNSHIDGSKHRLTPERSTDIQHALDATITMCFDECPALPAPPETIAQSMRLSMRWAARCREAFVPRAGYAQYGIIQGGTEPELRAESVRALTGIGFEGYAIGGLAVGEGQELMYATLDATVPLIPHDSPRYLMGVGTPDDLLGAVERGVDMFDCVMPTRAGRTARAYTERGTLNLRNARHADDTRPLSPHCDCLACTRHSRAYLHHLFRANEILGPMLLTWHNLAYYQRLMRGMRGAIVAGTLGAHAAGLRAEWAMEDWTPDEMPPPDLPPVP