Q12N64 AF NFT

tRNA-specific 2-thiouridylase MnmA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibmcmxitwzaabdtn6a2yew5tmcjjmdeoaeucs2wdyfif5x5uyxwqq/metadata.json
IPFS of structure file: 
bafybeiekiufzrhkodkqtt6utiw6fyhxdascmjkyefdk3cny76w7lv3kuka/AF-Q12N64-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd6DfE5bdDd44c5887584131C31217ED4556a11e4
First NFT owner address (bech32): 
genesis16m07t0wagnzcsavyzvwrzgt7632k5y0yff7rt6
Current NFT ID #238175 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
238175
Accession (UniProt):
Q12N64
Name::
tRNA-specific 2-thiouridylase MnmA
Experimental Method:
Predicted structure
Sequence source:
SHEWANELLA DENITRIFICANS (STRAIN OS217 / ATCC BAA-1090 / DSM 15013)

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 Q12N64 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q12N64|MNMA_SHEDO tRNA-specific 2-thiouridylase MnmA OS=Shewanella denitrificans (strain OS217 / ATCC BAA-1090 / DSM 15013) OX=318161 GN=mnmA PE=3 SV=2 MTSIKPIHNGKKVIVGMSGGVDSSVSAYLLMQQGYEVEGLFMKNWEEDDTDEYCAAADDLKDAQAVCDKLGIKMHTVNFAAEYWDNVFEYFLAEYKAGRTPNPDIMCNKEIKFKAFLEFADDILDADYIAMGHYVRRRDNSDGSVQMLRGVDGNKDQSYFLYTLSHEQVARSLFPVGELEKHEVRDIAKQMGLITHDKKDSTGICFIGERKFTDFLATYLPAQPGDIETPEGEVIGKHQGLMYHTLGQRKGLGIGGLKDSNEDPWYVVEKDLLRNVLIVAQGGNHPRLMSQGMTVNQLHWVDRKGPATDSQLVVKTRYRQTDVPCRISFDDPQRITVIFDSPVAAVTPGQSAVFYDGDVCLGGGIIDSLIRG