Q6FNP9 AF NFT

tRNA (adenine(58)-N(1))-methyltransferase non-catalytic subunit TRM6

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibw7ondbjgrxvcshh4wvbo73bmq5u2z2mzybs4jphsh4xdigskomq/metadata.json
IPFS of structure file: 
bafybeibxqs5qocg5sz6ooe4ntfaa6xyzdgkc6vbkiocsmnmyhkvnuolse4/AF-Q6FNP9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x424a4247310f74015Ec0796544158557b6b0f7eD
First NFT owner address (bech32): 
genesis1gf9yy3e3pa6qzhkq09j5g9v927mtpald3auaxy
Current NFT ID #473722 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
473722
Accession (UniProt):
Q6FNP9
Name::
tRNA (adenine(58)-N(1))-methyltransferase non-catalytic subunit TRM6
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 Q6FNP9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6FNP9|TRM6_CANGA tRNA (adenine(58)-N(1))-methyltransferase non-catalytic subunit TRM6 OS=Candida glabrata (strain ATCC 2001 / CBS 138 / JCM 3761 / NBRC 0622 / NRRL Y-65) OX=284593 GN=TRM6 PE=3 SV=1 MDPLKSIVQDQHVILTLPSGNSKIVELKPDSSVSLGKFGAFQVNDILGWPLGTTFEIYYDNVEEIVENKKKKPKSNELNKVPVGKVRLYKEVATDDKAEEEVEEMDSSAVIPVELQNVLSSATNQGLINIGNDVQKLTMHDVERFKQQSASANEIITKMIESHGSFHQKTIYSQEKYLKRKKQKFAKFFTVDYLSSSMLLKFLVEKGDIQRVLDLSEESLGMILNLTNIRSDGTYLCMDETGGLIVYTMLERMFGGKEDLDAPGKIVVINENEHPNLDLLKFSNYSEKFIEKHVVTLSILDYFRPPTMEEVEGRFTPLSKEEVNKLKSGKRSAYSRKLKWYYTQLRVIEMATKQQYDGLVVASTLHLPSLVPRLAERVHGARPIVCFSQFKETLLELAHTLYSDLRYLAPTILETRCRPYQTARGKLHPLMTMRGGGGYLLWCHRVIPAPEPEIEEPTDVNADEQEEKKQKME