B7LK49 AF NFT

tRNA modification GTPase MnmE

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiatjl2y6owoodimxht7b5sjwm6notc36nlcuawmigzch24evhu3gq/metadata.json
IPFS of structure file: 
bafybeicjzbrahhfpejwi7mhiqaa22twbablr4gbt347hgy34ornxswac6m/AF-B7LK49-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3aC9742557B5a280CCBE5c6e54942967FB5201eD
First NFT owner address (bech32): 
genesis18tyhgf2hkk3gpn97t3h9f9pfvla4yq0d3xuj9h
Current NFT ID #238723 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
238723
Accession (UniProt):
B7LK49
Name::
tRNA modification GTPase MnmE
Experimental Method:
Predicted structure
Sequence source:
Escherichia fergusonii (strain ATCC 35469 / DSM 13698 / CCUG 18766 / IAM 14443 / JCM 21226 / LMG 7866 / NBRC 102419 / NCTC 12128 / CDC 0568-73)

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 B7LK49 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7LK49|MNME_ESCF3 tRNA modification GTPase MnmE OS=Escherichia fergusonii (strain ATCC 35469 / DSM 13698 / CCUG 18766 / IAM 14443 / JCM 21226 / LMG 7866 / NBRC 102419 / NCTC 12128 / CDC 0568-73) OX=585054 GN=mnmE PE=3 SV=1 MSDNDTIVAQATPPGRGGVGILRISGLKAREVAETVLGKLPKPRYADYLPFKDADGSVLDQGIALWFPGPNSFTGEDVLELQGHGGPVILDLLLKRILTIPGLRIARPGEFSERAFLNDKLDLAQAEAIADLIDASSEQAARSALNSLQGAFSARVNHLVEALTHLRIYVEAAIDFPDEEIDFLSDGKIEAQLNDVIADLDAVRAEARQGSLLREGMKVVIAGRPNAGKSSLLNALAGREAAIVTDIAGTTRDVLREHIHIDGMPLHIIDTAGLREASDEVERIGIERAWQEIEQADRVLFMVDGTTTDAVDPAEIWPEFIARLPAKLPITVVRNKADITGETLGMSEVNGHALIRLSARTGEGVDVLRNHLKQSMGFDTNMEGGFLARRRHLQALEQAAEHLQQGKAQLLGAWAGELLAEELRLAQQNLSEITGEFTSDDLLGRIFSSFCIGK