Q6FKD6 AF NFT

tRNA (uracil-O(2)-)-methyltransferase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic4xnjrslc5ucgjxx476t3wkikq4ae6xs3afefl2nh5zlnb4vp5u4/metadata.json
IPFS of structure file: 
bafybeigvwzoycmql4ghodmccaryrukfbmrmq767owiaamhmrq6ggeatt74/AF-Q6FKD6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbDA05C32aD6eE153C8C5A78dfa48d7Ba25694fea
First NFT owner address (bech32): 
genesis1hks9cv4ddms48jx957xl5jxhhgjkjnl2ggp9vq
Current NFT ID #473578 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
473578
Accession (UniProt):
Q6FKD6
Name::
tRNA (uracil-O(2)-)-methyltransferase
Experimental Method:
Predicted structure
Sequence source:
CANDIDA GLABRATA (STRAIN ATCC 2001 / CBS 138 / JCM 3761 / NBRC 0622 / NRRL Y-65)

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 Q6FKD6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6FKD6|TRM44_CANGA tRNA (uracil-O(2)-)-methyltransferase OS=Candida glabrata (strain ATCC 2001 / CBS 138 / JCM 3761 / NBRC 0622 / NRRL Y-65) OX=284593 GN=TRM44 PE=3 SV=1 MTEKKTAPSFQFMKDESTSVLGGEWVPMYCTDEPVEFSKGDFETAMLNVIREPNINSTAILRADILAEKFYDLEGNEQELSTDDKPVLSESLPYDADAKLVNIDDITTRKELIENKELELTIVKEFVRRMIPRNPYKDALINQTCLVYNSKKTENKDTSLVLYIPHFEDEADCPFYIPHVQKVAILLHGGILSVHYIPYAGQSEDLRKDNERVVRTAFRLLQTAYKHSKGVMQGYEKRVNHDQVVDRVLFQDTYIQLKKKYSKFLVDNWAESTDPKKHVFEDLAIAAFLLEFWKTQYGDDYKTTMQFRDMGCGNGVLTYILISEGVNGVGIDARKRKSWSIYPTEIQRHLKEQVIIPSILLRPTPDVRRYMPYLEDNGAMFPIKVEDGLIAPATLVYSSADLIASPNVNICEFPDNTFIIGNHSDELTCWIPLLGFPFMVIPCCSHDLSGKKVRFNTRVPKSEKTTPAMKNNIKINSNNVNNSNSTYAGLVNHVEYLAKKVGWKVEKEMLRIPSTRNAAIIGTDNAYAKEFPTPDIYRTIEEEGGALTWVQNTMQLAKASPRNH