Q8CSZ4 tRNA(Met) cytidine acetate ligase MolNFT, Molecular NFT on GenesisL1

tRNA(Met) cytidine acetate ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeidof66yqhhmlkactrcob525mgtptlojftx4g6gcvq442dks2tl64e/metadata.json

IPFS of structure file:

bafybeihai2n4fnv5sz2j4h7ez5ewbvedhnvo2xyfghhnmzfynzutm4qwf4/AF-Q8CSZ4-F1-model_v2.pdb

First NFT owner address (eip-55):

0xD0f9B7bFD62aab6d4A30D170A574DcF201F3f893

First NFT owner address (bech32):

genesis16rum007k924k6j3s69c22axu7gql87ynjp8475

Current NFT ID #468424 owner (web3):

0xeD1A6159e26791F22a6cE039130D208Ac313c418

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
468424
Accession (UniProt):
Q8CSZ4
Name::
tRNA(Met) cytidine acetate ligase
Experimental Method:
Predicted structure
Sequence source:
STAPHYLOCOCCUS EPIDERMIDIS (STRAIN ATCC 12228 / FDA PCI 1200)

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 Q8CSZ4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8CSZ4|TMCAL_STAES tRNA(Met) cytidine acetate ligase OS=Staphylococcus epidermidis (strain ATCC 12228 / FDA PCI 1200) OX=176280 GN=tmcAL PE=3 SV=1 MKSVGLITEYNPFHNGHLFHATLSKQRSETNVTIAIMSGNFVMRGEPAIYHKFKRTEMALSAVDLVVELPLIGSLSSSDTFAEIAIKTAQYLDIDIISFGSESASLKDLQYLATQMIDYEKHPDFKEKLKQGKSYPRILSELTHNDTLLQSPNNILGISYLKAMQQFAPHMSALTIKREGSLHHQKVIDHHHFASGTSIRRSLMNDNVDWKNVVPNQIQSLYCKPHTTVEDTFPFIKHQLITQPKESLHSIYTINEGFENRLQTMIHRSDSFESLLSNLKTKRYTQTYIQRVLMNVLLNITKDDVNKEINAVRVLGMSEKGRSYLKYLKANYPNRHYITNVNQKTAHYFKNEIKATHVYNLLSNQSQTDFNTPLVRI

Q8CSZ4 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q8CSZ4 research and analysis (ICN3D with VR)

FASTA sequences

We use cookies on this site to enhance your user experience