Q2G9P6 AF NFT

tRNA-2-methylthio-N(6)-dimethylallyladenosine synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicl57doja7a3icj25natecr5f7kxasgpywavob6lom4jnwmgtmogy/metadata.json
IPFS of structure file: 
bafybeibrs77c4rh7yfup2nz7ahmpq65zsyqzrebgdpa7ngnwzcw7tmhdpu/AF-Q2G9P6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA1f8bc17CB3611090dDAE0D139DbBDcb586eDf26
First NFT owner address (bech32): 
genesis158utc97txcgsjrw6urgnnkaaedvxahexr50ct0
Current NFT ID #234854 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
234854
Accession (UniProt):
Q2G9P6
Name::
tRNA-2-methylthio-N(6)-dimethylallyladenosine synthase
Experimental Method:
Predicted structure
Sequence source:
Novosphingobium aromaticivorans (strain ATCC 700278 / DSM 12444 / CCUG 56034 / CIP 105152 / NBRC 16084 / F199)

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 Q2G9P6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2G9P6|MIAB_NOVAD tRNA-2-methylthio-N(6)-dimethylallyladenosine synthase OS=Novosphingobium aromaticivorans (strain ATCC 700278 / DSM 12444 / CCUG 56034 / CIP 105152 / NBRC 16084 / F199) OX=279238 GN=miaB PE=3 SV=1 MSSSAPSSASPKTFRVKSFGCQMNVYDGERMAELLAAQGMSAAGDGDDADLVVLNTCHIREKATEKVYSDIGRLRRADGSAPLIAVAGCVAQAEGEEIMARAPSVKVVVGPQSYHRLPEMVADAAAGKRSTETDMPAEAKFAALPKRRKSAPTAFLTVQEGCDKFCTYCVVPYTRGAEISRPFSDLVEEAKLLVAGGAREITLLGQNVNAWAGEDDKGRPIGLDGLARALAAEPDLKRIRYTTSHPNDMTDGLIAAHGELEKLMPFLHLPVQAGNDRVLKAMNRSHTADSYMALLERIRAARPDIALSGDFIVGFPGETDAEFEDTLRLVDAVGYAQAFSFKYSARPGTPAATMENHVPVAVMDERLQRLQAALNRDQLAFNKASVGKTCEVLVERRGKHPGQWLGKSPWLQSVHFSGEAEIGDMVTVELIEAGPNSISGRLA