P97770 AF NFT

tRNA (guanine(6)-N2)-methyltransferase THUMP3

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeie5syxzdly6kqgoqebztlcj6lk5ruuvfv4rhwvf5keiah5mt5wova/metadata.json

IPFS of structure file:

bafybeic5o4m7zvljbltjgp4e2hsj7mpqtt6tbmn4jpckf6w5rlmt3zkugq/AF-P97770-F1-model_v2.pdb

First NFT owner address (eip-55):

0xe68A5109F149B286F3fb6Fbb333E888F4332beFE

First NFT owner address (bech32):

genesis1u699zz03fxegdulmd7anx05g3apn90h7savz43

Current NFT ID #465282 owner (web3):

0xbc7b9681dE1EAd632bAaB367169Fdd387AA2AbF6

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
465282
Accession (UniProt):
P97770
Name::
tRNA (guanine(6)-N2)-methyltransferase THUMP3
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 P97770 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P97770|THUM3_MOUSE tRNA (guanine(6)-N2)-methyltransferase THUMP3 OS=Mus musculus OX=10090 GN=Thumpd3 PE=1 SV=1 MSCDTQEATRECLGMNLDGNKEPVSLVESGVRSESEHLQVTIGATVPTGFEQTAAGEVREKLKSACRISKDRGKIYFDIAVESLAQVHCLRSVDNLFVVVQEFKDYQFKDTKEEVLRDFEELAGKLPWSDPLKVWQINTTFKKKKAKRRKANQSAGKEKADCGQGDKADEKDGKKKHASSTSDSHILDYYENPAIKEEISTLVGDVLSSCKDETGQSLREETEPQVQKFRVTCNRAGEKHCFTSNEAARDFGGAIQEYFKWKADMTNFDVEVLLNIHDNEVIVAIALTEESLHRRNITHFGPTTLRSTLAYGMLRLCEPKPTDVIVDPMCGTGAIPIEGATEWSHCYHIAGDNNPLAVNRAANNISSLLTKSQIKDGKTTWGLPIDAVQWDICNLPLRTASVDIIVTDMPFGKRMGSKKRNWNLYPACLREMSRVCRPGTGRAVLLTQDKKCFTKALSGMGHVWRKVHVVWVNIGGLHAAVYLLKRTAQAFVHPSDQDEGRDPPW

MOLNFT AF v1_w

NFT data

MOLNFT P97770 research and analysis (ICN3D with VR)

FASTA sequences

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