Q8KCT7 AF NFT

Aspartate--tRNA(Asp/Asn) ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidppjfpnrt53mxle4rfneey56r2ovwesu6jygyzpsatprfnpjz7g4/metadata.json
IPFS of structure file: 
bafybeiauq6g6tm7mpawm6anofxmx6ckj7j5shx2yto3y6netlbwo5ko6z4/AF-Q8KCT7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x72335B453aCfeF98aD3da9d8b199e735Cd00Aa25
First NFT owner address (bech32): 
genesis1wge4k3f6elhe3tfa48vtrx08xhxsp23923pkp6
Current NFT ID #444519 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
444519
Accession (UniProt):
Q8KCT7
Name::
Aspartate--tRNA(Asp/Asn) ligase
Experimental Method:
Predicted structure
Sequence source:
CHLOROBACULUM TEPIDUM (STRAIN ATCC 49652 / DSM 12025 / NBRC 103806 / TLS)

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 Q8KCT7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8KCT7|SYDND_CHLTE Aspartate--tRNA(Asp/Asn) ligase OS=Chlorobaculum tepidum (strain ATCC 49652 / DSM 12025 / NBRC 103806 / TLS) OX=194439 GN=aspS PE=3 SV=1 MSKEPTTADGLQNRFRTHYCGRLNRKSEGELVRIAGWVHRIRDHGGLIFIDLRDHTGICQLVVLPENESQFKLAETLHSESVISAEGKVVLRSDETVNPRLASGAIEVVVSSIQIESNADPLPFPVADDMPTSEELRLKYRFLDLRREKLHENIIFRSKLTAAVRKYLTDLDFIEIQTPILTSSSPEGARDFLVPSRLHPGKFYALPQAPQQFKQLLMVAGFPRYFQIAPCFRDEDARADRSPGEFYQIDIEMSFIEQDDLFVILEGMFKHLVENMSHKRITQFPFPRISYKDVMNRYGSDKPDLRIPLEIQDVTELFVNSGFKVFASNTAEGSCVKAMVLKGMGNESRLFYDKAEKRARELGSAGLAYIQFKEEGPKGPVVKFLSEAEMNALKERLGIVTGDVVFFGAGKWEKTCKIMGGMRNYFADLFPLDKDELSFCWIVDFPMFEYNEEDKKIDFSHNPFSMPQGEMEALESKFPLDILAYQYDIVCNGIELSSGAIRNHRPDIMYKAFEIAGYSKEEVDARFGHMIEAFKHGAPPHGGIAPGLDRLVMILRDEQNIREVIAFPMNQSAQDLMMAAPSEVTAQQLKELCIRIELPEEEK