B7G5J1 AF NFT

tRNA (guanine(37)-N1)-methyltransferase 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihunygxmrvhfhumcuxeje2eew663wmbxhd6mlllxd4jd6a3zjitie/metadata.json
IPFS of structure file: 
bafybeierlwq3arw7otjsbl6syt3a3ipga5odwx6dcqy32mxzefpwjs6xqm/AF-B7G5J1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x46EfCa788d03A3e879DAcDb96552AB8Bbc7e20b3
First NFT owner address (bech32): 
genesis1gmhu57ydqw37s7w6ekuk254t3w78ug9ndfc7sx
Current NFT ID #473599 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
473599
Accession (UniProt):
B7G5J1
Name::
tRNA (guanine(37)-N1)-methyltransferase 2
Experimental Method:
Predicted structure
Sequence source:
Phaeodactylum tricornutum (strain CCAP 1055/1)

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 B7G5J1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7G5J1|TRM52_PHATC tRNA (guanine(37)-N1)-methyltransferase 2 OS=Phaeodactylum tricornutum (strain CCAP 1055/1) OX=556484 GN=PHATRDRAFT_47967 PE=3 SV=1 MTTRVTGNERRGRQLLLRFSGFLSAALTVMALITATRALAPVVAYIAPQRVRSHFMRRAFASGNCRSRRFSVLRSTVGTETRNENNITTPYHSPLPTSRYVYQSSRTLSSRNPALPLESTLMHSNANELTDVELKNLVAHWRDHPVLNPMVTFRSWVVPIKGKMIQAILNSKSLQPYLASRHELLQEMHVRLKIVRDYTDSTDGTEKLILLHPDTPPLSELPADVQQLLRNCQIHENGPVMPTKFTYKDFTASYILSQLLPIAVHPPPTAFETIGHVAHLNLKERHWPYRFLIGQVLLETLPLIESVINKVGEVSGPYRTYDFGLLAGRNDTRVKLTESGVQLQFDLADVYWCSRLSEERQRLLRTFQPGQIIADPFCGVGALCLLAASLPQRNCTIWANDWNPKAVEYLRENARRNHVSDRIERLQCGDAYDFLMDMGLQQHQKASTRSRKEDVTNKDGNHVTPTEPMRLPDHVVMNYPVEAPKFLGALRWWPVPPSSRRGSTTRDGGIGSVIVPRVHVYTFARADPTTDRDAEEVAVDLVAANLLPLGNTIHCRTEMNEDYDCDIQVHPVRDVAPGKVVLCGDFR