Q9VEP1 AF NFT

Putative tRNA (cytidine(32)/guanosine(34)-2'-O)-methyltransferase 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifmodnnhp7upfmxwccbm575lcxpq2xjpycn2dlwm2cljemg6pciji/metadata.json
IPFS of structure file: 
bafybeicies3n4gw2gmz3gzgn5wqit3r5nu7outlubtqw6yagxlqzapcf4q/AF-Q9VEP1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xaF0Dee25ddf5E46fC5F06F9c967adD3be668e3c6
First NFT owner address (bech32): 
genesis14ux7ufwa7hjxl30sd7wfv7ka80nx3c7x42mtkn
Current NFT ID #473733 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
473733
Accession (UniProt):
Q9VEP1
Name::
Putative tRNA (cytidine(32)/guanosine(34)-2'-O)-methyltransferase 1
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 Q9VEP1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9VEP1|TRM71_DROME Putative tRNA (cytidine(32)/guanosine(34)-2'-O)-methyltransferase 1 OS=Drosophila melanogaster OX=7227 GN=CG5220 PE=2 SV=1 MGKTSKDKRDIYYRQAKDEGWRARSAFKLLHVDEAYGILNGVQRAVDLCAAPGSWSQVLSRKLYDTCETDDEKSAVKIIAVDLQAMAPIRGILQLQGDITKQSTAEAIIGHFGGNEKAQLVVCDGAPDVTGVHEMDEYMQHQLLVAALSIATCVLETGGTFVAKIFKGNATSLLSSQMQIFFKKFDIYKPPSSRPSSIEAFVVCSDFCLPEGYIPQVINPARDDIRLLAQKTGSEVNRRLVPFIACGDLNGLSDPEEGKTSSSDESKSNLEYVYDAVMDDASYPLEFKEILKQVYDEQRHII