Q54VA8 AF NFT

Putative tRNA (cytidine(32)/guanosine(34)-2'-O)-methyltransferase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaovsahvwvggukzd6fdwdqwcv5nbdqigk46utqmroutfb4lwdmwca/metadata.json
IPFS of structure file: 
bafybeiakciboc7fn4r5rzbbykyqhq3rqmh2roa3tly5xiq2orqazaelc2u/AF-Q54VA8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xadc5f8709a462818d02825689ca98a962837C2C5
First NFT owner address (bech32): 
genesis14hzlsuy6gc5p35pgy45fe2v2jc5r0sk9ahwjn7
Current NFT ID #473736 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
473736
Accession (UniProt):
Q54VA8
Name::
Putative tRNA (cytidine(32)/guanosine(34)-2'-O)-methyltransferase
Experimental Method:
Predicted structure
Sequence source:
DICTYOSTELIUM DISCOIDEUM

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 Q54VA8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54VA8|TRM7_DICDI Putative tRNA (cytidine(32)/guanosine(34)-2'-O)-methyltransferase OS=Dictyostelium discoideum OX=44689 GN=fsjA PE=3 SV=1 MGKSSKDKRDIYYRKAKEEGWRARSAFKLIQIDEEYQIFEGVKRVVDLCAAPGSWSQVLSRRIYGDGKDPDVKIVAVDLQEMAPLKGVVQIKGDITKYETSKQIISHFDGSLADLIISDGAPDVTGLHDIDFYGQSQLILSALNITTHTLKIGGTFVAKMFKGDDMSLMYSQMKLFFEHVSFVKPSSSRESSLENFILCRNYQPPLNYNPKIIDPALENHNKILNNNNNNSNNNNNCNIDNENDNEFLKTDSLIVPFIACGDLNLGYHLV