Q65CN1 AF NFT

tRNA modification GTPase MnmE

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieeaacvjdm7vbbbu6mlau2myn227p6jhtttmju4isydikrjddu3vy/metadata.json
IPFS of structure file: 
bafybeibq5oodazsx4edtzcj3h5h3zygwsrj4fty3tvd5ghd7f3h6pbf7wu/AF-Q65CN1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5e58272ea25a05e06901A2eAe9f63939b344e0c6
First NFT owner address (bech32): 
genesis1tevzwt4ztgz7q6gp5t4wna3e8xe5fcxxnzlgjh
Current NFT ID #238558 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
238558
Accession (UniProt):
Q65CN1
Name::
tRNA modification GTPase MnmE
Experimental Method:
Predicted structure
Sequence source:
Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46)

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 Q65CN1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65CN1|MNME_BACLD tRNA modification GTPase MnmE OS=Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46) OX=279010 GN=mnmE PE=3 SV=1 MDTIAAISTPMGEGAIAIVRMSGPEALAIADKVYKGPRGKRLSSVDSHTINYGHIVDPETEKVVEEVMVSVLKAPKTFTREDIVEINCHGGLVTVNQVLQLVLREGARLAEPGEFTKRAFLNGRIDLSQAEAVMDLIRAKTDRAMNVAMNQMEGRLSSLIKRLRAEILETLAHVEVNIDYPEYDDVEEMTHKMLIEKATKVKKEIEALLTTSEQGKILREGISTVIIGRPNVGKSSLLNSLVHETKAIVTDIPGTTRDVIEEYVNVRGVPLRLVDTAGIRETEDIVERIGVERSRQVLKEADLILLVLNYSESLSDEDIKLFEATKGMDIIVIVNKTDLEQKLDLDRVRELAGNQPVVTTSLLKEEGIDELEEAIQSLFFTGAIESGDLTYVSNTRHISLLHEAKRAITDALEGIENDVPIDMVQIDLTRCWEVLGEIIGDAVHESLIDQLFSQFCLGK