Q040F3 AF NFT

tRNA modification GTPase MnmE

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibkayr5nspb5mk4grmltbojtbdxxutdmvmphl3hg6ugnr5ipyyw4u/metadata.json
IPFS of structure file: 
bafybeigpgimrn6ah65iefz66iwopkjgwffytfkvzwy2ezhtadx7dsveqpy/AF-Q040F3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8a24CBa3fbFCBbB9686CfD21aB7D75cD5a37f2D0
First NFT owner address (bech32): 
genesis13gjvhglmljamj6rvl5s6klt4e4dr0uksct3xdl
Current NFT ID #238777 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
238777
Accession (UniProt):
Q040F3
Name::
tRNA modification GTPase MnmE
Experimental Method:
Predicted structure
Sequence source:
Lactobacillus gasseri (strain ATCC 33323 / DSM 20243 / BCRC 14619 / CIP 102991 / JCM 1131 / KCTC 3163 / NCIMB 11718 / NCTC 13722 / AM63)

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 Q040F3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q040F3|MNME_LACGA tRNA modification GTPase MnmE OS=Lactobacillus gasseri (strain ATCC 33323 / DSM 20243 / BCRC 14619 / CIP 102991 / JCM 1131 / KCTC 3163 / NCIMB 11718 / NCTC 13722 / AM63) OX=324831 GN=mnmE PE=3 SV=1 MAQVLTQFDTIAAISTPIGEGGISIVRLSGEDAVAIANKLFKGADLTKVPTHTIHYGHIVDPKTKEVVDETMVSVLRAPKTFTREDMVEINCHGGMIVTNDILQLLLANGARMADPGEFTKRAFMNGRIDLTQAESVMDIVRAKTDKSRQVAMTQLAGGLLDKIKTMRQELLDTMAHEEVNIDYPEYDMDDLTSQEMKKKAQEVSKQIEQLLQTAQEGKIIRNGLATAIVGRPNVGKSSLLNYLTQDDKAIVTDIAGTTRDTLEEYVSVKGVPLKLIDTAGIHHTEDKVEKIGVERSKKAIKEADLVLLLLDASQDLTAEDKRLLDLTANKKRIIILNKQDLGTKISQEMIKDITDNPIIVTSILKQKNMDALENAIEKLFFSGIENSQNQILVTNQRQAGLLTKAKQSLEDVISGIDDAMPLDLVQIDLKNAWDTLGEITGESAPDELITQLFSQFCLGK