Q9HQG3 AF NFT

Fibrillarin-like rRNA/tRNA 2'-O-methyltransferase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigpz2hdopljq6dfkz4sbz6uzkwhzlnsiy5cgetvag5fld3gzca3ju/metadata.json
IPFS of structure file: 
bafybeiepj2wke7vzhqpdrkpbgi66jy7ab7v7kyr7g4i5s7oisfwp6w5ewy/AF-Q9HQG3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x81957cf22C1850f268Ea6B427f0c14A4D40792f1
First NFT owner address (bech32): 
genesis1sx2heu3vrpg0y682ddp87rq55n2q0yh3fa04ws
Current NFT ID #132765 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
132765
Accession (UniProt):
Q9HQG3
Name::
Fibrillarin-like rRNA/tRNA 2'-O-methyltransferase
Experimental Method:
Predicted structure
Sequence source:
HALOBACTERIUM SALINARUM (STRAIN ATCC 700922 / JCM 11081 / NRC-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 Q9HQG3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9HQG3|FLPA_HALSA Fibrillarin-like rRNA/tRNA 2'-O-methyltransferase OS=Halobacterium salinarum (strain ATCC 700922 / JCM 11081 / NRC-1) OX=64091 GN=flpA PE=3 SV=1 MSLPAGVQRRSFGDEDGVLATRGEPAYGEPVVDGWRRWDAHRSKLGATFELGLDTGLSGGDAVLYLGAANGTTVSHVADFAGPTYAVEFAPRPVTDLLAVADSRERLFPLLKDARAPETYAHVVESGVDAIVQDVATRGQADVALSNRQFLADDGRLVAALKARSEDVTADPAAVFEDLLGRLRDGYEVRATARMEPFHEDHLAVVATPR