Q51470 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicvignosu54rb345shafiemafzfu7z6qxlbevir4tis7w74jxlq5u/metadata.json
IPFS of structure file: 
bafybeigszpe2w4hgwm25jganab6htl5lz2r5ke4n76lafziw7eorhbfnnm/AF-Q51470-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2Bf03BE38F2A435a955D7Bb9DA16E9f97c134e4c
First NFT owner address (bech32): 
genesis190crhcu09fp4492a0wua59hfl97pxnjv50gheg
Current NFT ID #234904 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
234904
Accession (UniProt):
Q51470
Name::
tRNA-2-methylthio-N(6)-dimethylallyladenosine synthase
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS AERUGINOSA (STRAIN ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1)

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 Q51470 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q51470|MIAB_PSEAE tRNA-2-methylthio-N(6)-dimethylallyladenosine synthase OS=Pseudomonas aeruginosa (strain ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1) OX=208964 GN=miaB PE=3 SV=2 MAKKLFIETHGCQMNEYDSSRMADLLGEHQALEVTENAAEADVILLNTCSIREKAQEKVFSKLGMWRELKQQNPDLVIGVGGCVASQEGAAIRERAPYVDVVFGPQTLHRLPEMIDAARSTRKPQVDVSFPEIEKFDRLPEPRVDGPTAFVSVMEGCSKYCSFCVVPYTRGEEVSRPFDDVIAEVIHLAENGVREVTLLGQNVNGFRGLTHDGRLADFAELLRVVAAVDGIERIRYTTSHPLEFSDALIQAHAEVPELVKFIHLPVQSGSDRVLAAMKRNHTVLEYKSRIRKLKAAVPDICISSDFIVGFPGETEKDFEQTMKLVEDVGFDFSFSFIYSARPGTPAADLADDLPEEVKKQRLQILQSRIHQQGYEISRRMVGSTQRILVTDFSKKDPGMLQGRTENNRIVNFRCDNPRLIGQFAQVHIDDALPHSLRGTLIDSTLH