B1IYE7 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidey3b325gy2unuhxwahqx25a4do5w3ndfgvl7fwzuz2a5xdp6a2a/metadata.json
IPFS of structure file: 
bafybeidixoh37hcxk7nzaem5mielb3heradr6wp3acklkdfiwxavvpblhm/AF-B1IYE7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x930eD3AC96Fe0Ec77247D9AE4C54Bd92C627474C
First NFT owner address (bech32): 
genesis1jv8d8tyklc8vwuj8mxhyc49ajtrzw36vjenqlw
Current NFT ID #234712 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
234712
Accession (UniProt):
B1IYE7
Name::
tRNA-2-methylthio-N(6)-dimethylallyladenosine synthase
Experimental Method:
Predicted structure
Sequence source:
Escherichia coli (strain ATCC 8739 / DSM 1576 / NBRC 3972 / NCIMB 8545 / WDCM 00012 / Crooks)

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 B1IYE7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B1IYE7|MIAB_ECOLC tRNA-2-methylthio-N(6)-dimethylallyladenosine synthase OS=Escherichia coli (strain ATCC 8739 / DSM 1576 / NBRC 3972 / NCIMB 8545 / WDCM 00012 / Crooks) OX=481805 GN=miaB PE=3 SV=1 MTKKLHIKTWGCQMNEYDSSKMADLLDATHGYQLTDVAEEADVLLLNTCSIREKAQEKVFHQLGRWKLLKEKNPDLIIGVGGCVASQEGEHIRQRAHYVDIIFGPQTLHRLPEMINSVRGDRSPVVDISFPEIEKFDRLPEPRAEGPTAFVSIMEGCNKYCTYCVVPYTRGEEVSRPSDDILFEIAQLAAQGVREVNLLGQNVNAWRGENYDGTTGSFADLLRLVAAIDGIDRIRFTTSHPIEFTDDIIEVYRDTPELVSFLHLPVQSGSDRILNLMGRTHTALEYKAIIRKLRAARPDIQISSDFIVGFPGETTEDFEKTMKLIADVNFDMSYSFIFSARPGTPAADMVDDVPEEEKKQRLYILQERINQQAMAWSRRMLGTTQRILVEGTSRKSIMELSGRTENNRVVNFEGTPDMIGKFVDVEITDVYPNSLRGKVVRTEDEMGLRVAETPESVIARTRKENDLGVGYYQP