Q66CJ9 AF NFT

Serine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiauiuo3v5tizuhssusb3bcblizhoc646k3vkktczlxkypmpdi7gxe/metadata.json
IPFS of structure file: 
bafybeihkuw2rix5cmfglg4cwbyatozhpkie4belssxf7qgike5zpdybxwm/AF-Q66CJ9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0B4abCfEbe49aBF15396cd710DB4225D9A19D3cC
First NFT owner address (bech32): 
genesis1pd9tel47fx4lz5uke4csmdpztkdpn57vplrg2q
Current NFT ID #453997 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
453997
Accession (UniProt):
Q66CJ9
Name::
Serine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PSEUDOTUBERCULOSIS SEROTYPE I (STRAIN IP32953)

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 Q66CJ9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q66CJ9|SYS_YERPS Serine--tRNA ligase OS=Yersinia pseudotuberculosis serotype I (strain IP32953) OX=273123 GN=serS PE=3 SV=1 MLDPNMLRNELDAVAEKLARRGFKLDVEVLRQQEERRKVLQVETESLQAERNSRSKQIGAAKARGEDIEPLRLEVNALGEKLDAAKAELDKLQNEIRDLALSIPNLPDDSVPVGKNENDNIEVSRWGEPRKYDFDVKDHVSLGEMAGGLDFAAAVKLTGARFVVMKGQIARMHRALSQFMLDLHTEKHGYLEAYVPYLVNHATLYGTGQLPKFGEDLFHTKPLAEESDNSNYALIPTAEVPLTNLVRDEILEEDSLPLKLTAHTPCFRSEAGSYGRDTRGLIRMHQFDKVEMVQITRPEDSMAALEELTGHAEKVLQLLELPYRKVLLCTGDMGFGSSKTYDLEVWLPAQDTYREISSCSNMWDFQARRMQARYRNKTDRKTRLVHTLNGSGLAVGRTLVAVLENYQQADGRIQVPDVLRPYMGGLEYIG