Q88FR9 tRNA-specific 2-thiouridylase MnmA MolNFT, Molecular NFT on GenesisL1

tRNA-specific 2-thiouridylase MnmA

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiewnwf5ddelahuco7a5pux2jlcprugiwywqnxxpsnsggmhjiigjlu/metadata.json

IPFS of structure file:

bafybeibbq7h4r4dxsnaz6t7pk6oyyrjdf77cqcjmkpcah56xuziajgyhka/AF-Q88FR9-F1-model_v2.pdb

First NFT owner address (eip-55):

0xF50a6eF515aB40F7071cB2E9F5e6410c6BD08d86

First NFT owner address (bech32):

genesis1759xaag44dq0wpcukt5ltejpp34aprvx6ma7wg

Current NFT ID #238105 owner (web3):

0xaa53776A41fB2e67da75A96E8a53746b6874aAB4

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
238105
Accession (UniProt):
Q88FR9
Name::
tRNA-specific 2-thiouridylase MnmA
Experimental Method:
Predicted structure
Sequence source:
Pseudomonas putida (strain ATCC 47054 / DSM 6125 / CFBP 8728 / NCIMB 11950 / KT2440)

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 Q88FR9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q88FR9|MNMA_PSEPK tRNA-specific 2-thiouridylase MnmA OS=Pseudomonas putida (strain ATCC 47054 / DSM 6125 / CFBP 8728 / NCIMB 11950 / KT2440) OX=160488 GN=mnmA PE=3 SV=1 MTSPALKDPAKTRVIVGMSGGVDSSVSALLLIEQGYQVEGLFMKNWEEDDGTEYCTAREDLADAQAVCDRIGIKLHTANFAAEYWDNVFEHFLEEYKAGRTPNPDILCNREIKFKAFLDYALSLGADLIATGHYVRRRDTGALTELLKGLDPNKDQSYFLHAVGGQEIARTLFPVGELEKPEVRAIAEKHGLATAKKKDSTGICFIGERRFSDFLKQYLPAQPGDIETTEGEVIGRHHGLMYHTIGQRQGLGIGGLKDASDEPWYVLHKDLARNVLVVGQGNEHPWLFSRALLASEIFWVNPVDLGSPRQLTAKVRYRQSDQRCTLERTASGYRAVFDEPQRAVTPGQSVVFYDGEVCLGGGVIEAAEPWSPRA

Q88FR9 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q88FR9 research and analysis (ICN3D with VR)

FASTA sequences

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