Q3IW81 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidl3w7pkaybjd4wszjb5qlzi43cizoodb44zzlaxt4eqt5nl4dlsi/metadata.json
IPFS of structure file: 
bafybeigxz42n2iica5x5sqopzaqnwryla22443z3gk4myzqqk5pqjj43ym/AF-Q3IW81-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE6c3646712b2b9265D6ca79cd632eb6c996c170E
First NFT owner address (bech32): 
genesis1umpkgecjk2ujvhtv57wdvvhtdjvkc9cw5ne4pz
Current NFT ID #234627 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
234627
Accession (UniProt):
Q3IW81
Name::
tRNA-2-methylthio-N(6)-dimethylallyladenosine synthase
Experimental Method:
Predicted structure
Sequence source:
Cereibacter sphaeroides (strain ATCC 17023 / DSM 158 / JCM 6121 / CCUG 31486 / LMG 2827 / NBRC 12203 / NCIMB 8253 / ATH 2.4.1.)

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 Q3IW81 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3IW81|MIAB_CERS4 tRNA-2-methylthio-N(6)-dimethylallyladenosine synthase OS=Cereibacter sphaeroides (strain ATCC 17023 / DSM 158 / JCM 6121 / CCUG 31486 / LMG 2827 / NBRC 12203 / NCIMB 8253 / ATH 2.4.1.) OX=272943 GN=miaB PE=3 SV=1 MSEARKLFIKTYGCQMNVYDSERMAEALGAKGYVLTEVAEEADMVLLNTCHIREKAAEKVYSDLGRLRPLKTAKPDLKIGVAGCVAQAEGEEILKRMPLVDLVVGPQSYHRLPDMLERTEGGARVVDTDFPEEDKFDHLPERKATRGPAAFLTVQEGCDKFCAFCVVPYTRGAEVSRPFARLMAEARGLVERGVREITLLGQNVNAWSNDGRGLGGLIRELARIDGLERLRYTTSHPNDMADDLIEAHGAEPKLMPYLHLPVQSGSDRILKAMNRKHTAEHYLRLIERIRAARPDILLTSDFIVGFPGETEADFEATLDLIRAVGFGSAFSFKYSARPGTPAAEKPELPAEVCDARLQRLQALVTEQQRAAQMAMVGREVGVLYEKAGRLPGQMVGKSDHLHAVHVEDKAGQVGDLVRVRITASAPNSLAGERLGA