B0XNT4 AF NFT

tRNA (guanine-N(7)-)-methyltransferase non-catalytic subunit trm82

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiemdsidfpbhmrnmvbupyv72scqjxorzdov3wcoowfshnuicya7o3m/metadata.json
IPFS of structure file: 
bafybeid34bpus2blnjhn7kr4vng5tt5c2iolya4k7b2skpejiayzxxpx3m/AF-B0XNT4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE36fcA04028F317f9BEC30f0146Be668aF108740
First NFT owner address (bech32): 
genesis1udhu5pqz3uchlxlvxrcpg6lxdzh3pp6qwncn6r
Current NFT ID #473742 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
473742
Accession (UniProt):
B0XNT4
Name::
tRNA (guanine-N(7)-)-methyltransferase non-catalytic subunit trm82
Experimental Method:
Predicted structure
Sequence source:
NEOSARTORYA FUMIGATA (STRAIN CEA10 / CBS 144.89 / FGSC A1163)

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 B0XNT4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B0XNT4|TRM82_ASPFC tRNA (guanine-N(7)-)-methyltransferase non-catalytic subunit trm82 OS=Neosartorya fumigata (strain CEA10 / CBS 144.89 / FGSC A1163) OX=451804 GN=trm82 PE=3 SV=1 MVVNYQHPIQCIRYVEKQTAGFRNLFLASAGSKIYTYAAETGRKLAIWPEAPNASHSTVVSVAPSSEGDEPSAKKRKVSPVPEQTAKGGQPEASTAWSTIPILTVSSDGNFLVAVTGEDKCLRVFEIEESGHLKQLSERHMPKRPSAITLVDDDKTILCGDKFGDVYSLPLIDTGKSSIAPKIHAKMKPNQPAATTLTVHSKRNLASLEQQLRHYSQNEKTAEEKPTSAFELHLILGHVSMLTDLVYVSVPVDATSGRQRPYIFTADRDEHIRVSRGPPQAHIIENYCLGHTSFVSSLCVPQWAPEYLVSGGGDNHLIVWRWNESRLVQKVPLLEEGTDSEVVVRRIWALSLTKAANSQENANVILVALDGSSKLLCFTLESDGSLKAQNSIQASGNVLDLTVPSENSSIVVSVDAVREAGSTQEWRTSPSSPSTLVEAFRLKPASEGPLDWERTSEAITAQINSEGTSDISADLDEKQKKELNDSLYSLGNLRKKNMGEDD