A7TEN6 AF NFT

tRNA (guanine-N(7)-)-methyltransferase non-catalytic subunit TRM82

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicblxnxh5js27bt6ujfb57m2k3lt33yyexyy5klvpr6wvsztbxkfq/metadata.json
IPFS of structure file: 
bafybeicfc3supxcadw73c46u7mkzp6w6lvyc6xa7d7523e7y6wsxkgl36a/AF-A7TEN6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5BeA89782341f98147F2D811B063F91F0aE7D7bF
First NFT owner address (bech32): 
genesis1t04gj7prg8ucz3ljmqgmqcleru9w04al6k7v50
Current NFT ID #473758 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
473758
Accession (UniProt):
A7TEN6
Name::
tRNA (guanine-N(7)-)-methyltransferase non-catalytic subunit TRM82
Experimental Method:
Predicted structure
Sequence source:
Vanderwaltozyma polyspora (strain ATCC 22028 / DSM 70294 / BCRC 21397 / CBS 2163 / NBRC 10782 / NRRL Y-8283 / UCD 57-17)

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 A7TEN6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7TEN6|TRM82_VANPO tRNA (guanine-N(7)-)-methyltransferase non-catalytic subunit TRM82 OS=Vanderwaltozyma polyspora (strain ATCC 22028 / DSM 70294 / BCRC 21397 / CBS 2163 / NBRC 10782 / NRRL Y-8283 / UCD 57-17) OX=436907 GN=TRM82 PE=3 SV=1 MSLIHPIQAVVSNRSGELIFAVLKNVIIAYRYDQTNGKYLEMGKWEDQFSRDEMIKIAVVKEQARQLAENEEKGIKKSKTNEGNTIEKKHDAKIPVPGPGAPPIYSQIRNLMISNDETMLLACADSDKSVLVFKIETLNNDNCLKLIKRQPFPKRPNAITITEDDKTVIIADKFGDVYSMLIESPVIENIDEEFEPILGHVSMLTGVLSTTNNGMKFVMTSDRDEHIKISHFPQSYIVDKWLFGHKEFVSSICIPSWNSNILVSAGGDHGIFLWDWIKGEKLDEFDFTDLVLPYINENHLAPDRFQNEENDLKEFAVSKLVSLPNNPYFAFFVEATKLLIILEVDQSTYKMKLLQKIVLPYYITFISTFSDDKTMGFNISLDNRESGDKDFVKFIALDTTSNTFSIKEEQSDEFNTSIVNSFSKEDSIVKVELDEVYPLYNIISLKKHGEHYS