Q3J2H4 AF NFT

Queuine tRNA-ribosyltransferase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihl64tlfsyyewovyqs2xrd3ngv3rxgfax6zj4xd4vhgbtodrthrpi/metadata.json
IPFS of structure file: 
bafybeihx6kx5lpdu454ct7cvpofqftbmrwv5on4lrbxywves6nvnmknrgq/AF-Q3J2H4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3787D36AcB8Bb0A2eb5f48E0812EEcdE066EC16b
First NFT owner address (bech32): 
genesis1x7rax6kt3wc2966lfrsgzthvmcrxasttga980t
Current NFT ID #462156 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
462156
Accession (UniProt):
Q3J2H4
Name::
Queuine tRNA-ribosyltransferase
Experimental Method:
Predicted structure
Sequence source:
Cereibacter sphaeroides (strain ATCC 17023 / DSM 158 / JCM 6121 / CCUG 31486 / LMG 2827 / NBRC 12203 / NCIMB 8253 / ATH 2.4.1.)

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 Q3J2H4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3J2H4|TGT_CERS4 Queuine tRNA-ribosyltransferase OS=Cereibacter sphaeroides (strain ATCC 17023 / DSM 158 / JCM 6121 / CCUG 31486 / LMG 2827 / NBRC 12203 / NCIMB 8253 / ATH 2.4.1.) OX=272943 GN=tgt PE=3 SV=1 MTQRFSFELTATDGRARTGVISTPRGEIRTPAFMPVGTAGTVKAMLPENVRATGADILLGNTYHLMLRPTAERVVRLGGLHRFMNWDRPILTDSGGFQVMSLADLRKLSEEGVTFRSHIDGSKHHLSPERSMEIQRLLGSDIVMAFDECPALPATEEAVAQSMRLSMRWARRSREAFGDRPGHALFGIMQGGVTRDLREESAAALREIGFEGYAIGGLAVGEGQEAMFGVLDYAPGLLPEDRPRYLMGVGKPDDIVGAVERGVDMMDCVLPSRSGRTGQAWTRRGQVNIKNARHMDDPRPLDEACSCPACRSYSRAYLHHVFRAQEIIASMLLTWHNLHYYQELMQGLRTAIAAGRLGEFVAAFHAARAEGDIEPL