Q2JQ64 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiecuxybre25n3wfy5xybzdix6n575xag7psfjy3dtj6gbdixoffkm/metadata.json
IPFS of structure file: 
bafybeihtsnxe2k3vakcpfsuzrovqfmhqm3wnivnsy6prypy3nl2yos5dfm/AF-Q2JQ64-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x360e90C457FFBa3C941Ed61D86e7Ab46eab18C5C
First NFT owner address (bech32): 
genesis1xc8fp3zhl7are9q76cwcdeatgm4trrzuawtp6d
Current NFT ID #475380 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
475380
Accession (UniProt):
Q2JQ64
Name::
Methylenetetrahydrofolate--tRNA-(uracil-5-)-methyltransferase TrmFO
Experimental Method:
Predicted structure
Sequence source:
Synechococcus sp. (strain JA-2-3B'a(2-13))

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 Q2JQ64 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2JQ64|TRMFO_SYNJB Methylenetetrahydrofolate--tRNA-(uracil-5-)-methyltransferase TrmFO OS=Synechococcus sp. (strain JA-2-3B'a(2-13)) OX=321332 GN=trmFO PE=3 SV=1 MNPPTNPRACSPLARAGSFAPIHVVGGGLAGTEAAWQIAQAGLPVILSEMRPVRQSPAHHTDQLGELVCSNSFGAAASDRAAGLLKEELRQLGSLVIATADCHAVPAGGALAVDRARFSQALTEAIQNHPRITLRREEVTEIPEGIAVLCTGPLTSDPLAKALQAFTGLEYLSFFDASSPIVTGDSLNRAVVFQASRYDKGEAAYLNCPMTEAEYERFWRALVEAEQAPLKDFEREERKFFEGCLPIEEMARRGKDTLCFGPLKPVGLVDPRTGSRPYAVVQLRQEDKAGQLWNLVGFQTNLKWGEQQRVFRLIPGLEQAEFVRFGVMHRNTFLNSPQLLWPTLQFRRRPTLFAAGQLVGTEGYACAVAGGWLAGQNAARLALGLPLITLPPETMMGSLFQFISSADPRHFQPMPANFGLLPDLEGRKLRNKQERYGRYRDRALAALKTTGLVRQVQTA