Q3YRH0 AF NFT

tRNA uridine 5-carboxymethylaminomethyl modification enzyme MnmG

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif3obbwwq72zo5bwnwuj5nhkkc2olfp5lfwb5b2ph3vcnglogtvsm/metadata.json
IPFS of structure file: 
bafybeigc4bfmz3x7k2cqzabvzoehyq4sradzy56ar6wn6ba3aj6efeyp3i/AF-Q3YRH0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x92C13525f7d099F9849aB1EF45113915218e2BB0
First NFT owner address (bech32): 
genesis1jtqn2f0h6zvlnpy6k8h52yfez5scu2as57xwek
Current NFT ID #239320 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
239320
Accession (UniProt):
Q3YRH0
Name::
tRNA uridine 5-carboxymethylaminomethyl modification enzyme MnmG
Experimental Method:
Predicted structure
Sequence source:
Ehrlichia canis (strain Jake)

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 Q3YRH0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3YRH0|MNMG_EHRCJ tRNA uridine 5-carboxymethylaminomethyl modification enzyme MnmG OS=Ehrlichia canis (strain Jake) OX=269484 GN=mnmG PE=3 SV=1 MSHYDVVVIGGGHAGCEAAAAASRIGAKTLLITHSISTIGEMSCNPAIGGIAKGTVVREVDALDGLMGKVIDKASIHSSILNRSKGPAVWGPRAQADRLIYKQTMQEIILNYPNLTVLEASVEDFTITQDNQKDSVKAVITSEQHTIYTSKLILTTGTFLQGTIHIGSYTTPAGRIGEQPSIGLAKTLEKYNFKLGRLRTGTPPRLDINSINFAVLQEQKGDIHPSPFSYISQSIDLPQISCYLTATNNKTHEVIKNNLHRAAASNLLKDIKAPRYCPSIEEKVRRFSDRNSHQVFLEPEGLNSDIIYPNGITTSSPLDVQYEMLKTIPGLEKVNIVRSGYSVEYNFIDPRELYHTLETKKISGLYFAGQINGTTGYEEAAGQGIIAGINAALSLSSNYEPFILKRSDAYIGVMIDDLVTLGTSEPYRLFTSRAEYRLRLRSDNADLRLTELGYKVSAVSSKRYCALKNKQHDIESLTNILKNIIITPTQLAAYDIPVSQDGVKRSIFDLLSHPNINIETVSKICDVIKKFSKAVVSQVEIEGKYAPYFIRQDADIQDFIEEENTHIPSNIEFSQIHGLSKEIQEKLAHIKPPSIGSARRIPGVTPAAITSILIYLRYHKNKKIS