Q9KA24 AF NFT

Methylenetetrahydrofolate--tRNA-(uracil-5-)-methyltransferase TrmFO

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiavrqed5n6ea3xsbhfsvakgaab4z2azd6estnxg5csgtcfzbngwi4/metadata.json
IPFS of structure file: 
bafybeie2ko4rskbmmagi6yggs5goujkxzuy5wtowmxdsoulqsoji6z7tre/AF-Q9KA24-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBF0D2e107Ce1EcD2C4369B042274201DB719AaAF
First NFT owner address (bech32): 
genesis1huxjuyruu8kd93pknvzzyapqrkm3n240z6jrgl
Current NFT ID #475157 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
475157
Accession (UniProt):
Q9KA24
Name::
Methylenetetrahydrofolate--tRNA-(uracil-5-)-methyltransferase TrmFO
Experimental Method:
Predicted structure
Sequence source:
Alkalihalobacillus halodurans (strain ATCC BAA-125 / DSM 18197 / FERM 7344 / JCM 9153 / C-125)

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 Q9KA24 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9KA24|TRMFO_ALKHC Methylenetetrahydrofolate--tRNA-(uracil-5-)-methyltransferase TrmFO OS=Alkalihalobacillus halodurans (strain ATCC BAA-125 / DSM 18197 / FERM 7344 / JCM 9153 / C-125) OX=272558 GN=trmFO PE=3 SV=1 MSTPHINVIGAGLAGSEAAWQIAERGIAVHLYEMRPVKQTPAHHTDKFAELVCSNSLRGNSLTNAVGVLKEEMRRLNSVIIRSADRCSVPAGGALAVDRHEFAQAVTEAVREHPNVTVFTEEIQKIPDGPTVIATGPLTSKALSEQLKQLTGEEYLYFYDAAAPIIETDSINMDKVYLKSRYDKGEAAYLNCPMTEEEFDRFYEALISAETVPLKEFEKEVFFEGCMPVEVMAKRGKKTLLFGPMKPVGLEDPKTGKRPYAVVQLRRDNQSGTLYNIVGFQTHLKWGPQKEVIQLIPGLENAEIVRYGVMHRNTFINSPNLLKPTYQYKKRKDLFFAGQITGVEGYVESAAAGLVAGLNAARLVQSKELVVFPDTTMLGSMANYITTANSKNFQPMNANFGLLPPLDTRIKDKKTRYETLAGRALESIQNFVKKM