Q9VDD9 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidvmj7mpjzkfvnwlox4y5xm5sp5akqhvibeoqe4da3ofxh4d2drtu/metadata.json
IPFS of structure file: 
bafybeie36vb4sxsjyhyseiupxuzlo7l2yen7wyepfvbjqjhlktxeo7auiu/AF-Q9VDD9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9415a84BC7644cb9428b97E565cC2Bb7139CC8f4
First NFT owner address (bech32): 
genesis1js26sj78v3xtjs5tjljktnptkufeej85vvccv5
Current NFT ID #473734 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
473734
Accession (UniProt):
Q9VDD9
Name::
Putative tRNA (cytidine(32)/guanosine(34)-2'-O)-methyltransferase 2
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 Q9VDD9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9VDD9|TRM72_DROME Putative tRNA (cytidine(32)/guanosine(34)-2'-O)-methyltransferase 2 OS=Drosophila melanogaster OX=7227 GN=CG7009 PE=3 SV=1 MGRTSKDKRDIFYRLAKEQGWRARSAFKLLQADETFQLLEGLTRAVDLCAAPGSWSQVLAKRLYEPLPPEEREKVKIIAVDLQGMAPIEGVKQLRADISKESTAEAIIEFFGGEKAQIVVSDGAPDSTGMHDFDSYVQGELLLSALSISTFILEEGGSFVSKIYRADRTSRLYTQLKRFFKNVCVFKPSASRNSSIEAFVVAREFCLPDGYKPCNLTTEWHDQPESWVGRKKESPPVVQVPFVAYKGELDSDRTYDLGENYVYKEPVQQPLTAAYQDILQKTSQVNIKYEGIRVIHDEEMLKKWLENDENKSEKLGACVT