Q6FUZ2 AF NFT

mRNA-capping enzyme subunit beta

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigv7xxbothfkpceg7yfkxpggdvl4icci54263q6ovc752xksdmhba/metadata.json
IPFS of structure file: 
bafybeigid2a3v3wj6ytqxoraezov2dniwpatqjozzyjuzaefof5rzfuvsi/AF-Q6FUZ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x025f3b1a898b05AD2731bE6Ab72687b5920c4A3F
First NFT owner address (bech32): 
genesis1qf0nkx5f3vz66fe3he4twf58kkfqcj3lqjrpt3
Current NFT ID #58493 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
58493
Accession (UniProt):
Q6FUZ2
Name::
mRNA-capping enzyme subunit beta
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 Q6FUZ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6FUZ2|CET1_CANGA mRNA-capping enzyme subunit beta OS=Candida glabrata (strain ATCC 2001 / CBS 138 / JCM 3761 / NBRC 0622 / NRRL Y-65) OX=284593 GN=CET1 PE=3 SV=1 MSEHHSKRALSLDDLVNHDENDKSKLQKLADNESSVRSDDNRPGAIENIVNGNNSNSDLNSNGVIEEDTDTDDDVGGEFTFDNGITFDYDKQDRFSPEKKRIQARKKDTSKTTPSISNESPSNSKESSVPVDPLSSNISATDRKDSSEEKPDLTGPELVKEPDTNEYKRPSIQSITNAEDTTYNDHKAAGMEKTSNKHSLPNILSDSIDETVTEEHKPKTETEQTITEYQQENKQKDNVNESNSEETHDIKNDNMNQVEKIFQEKTSTLSKKNSVKKDLELLNEISASSKPNKYKNTPIWAQKWKPTVKALQNIDTNDFKIDNSILDIIPDDDLTKSVQDWVYATLYSIDPDLRPFIELEMKFGVLLESKSPDRVNPPVSSQAVYTDMDAHLTPNVDETVFKELSKYIQSLSEITENAGKFNVIEAQTKDAVYRVGTSTQRPRFLRMSSDVKTGRIGAFIEKRHISQLLIYSPKDSYDVKLSINLELPVPENDPPEKYQHQTPVSERTKERVSYIHNDSCTRFDITKVQNHNKGIKSNDVEITHEIELEINTPALIKAFDNIMTDSKEYATLIRTFLNNGTIVRRKLSSLSYEIFEGQKKIQ