Q9HUA4 AF NFT

D-aminoacyl-tRNA deacylase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieinmq3hlpughajasctndfifb65e3fveeofhcgksinp674h6p5hl4/metadata.json
IPFS of structure file: 
bafybeiej53sfoz6ss6z7ev25xcwnycsfx4gg7oqqfcy4xe33kty74h4jmq/AF-Q9HUA4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb3c0C983Fc44934AC589D7131C08a72544EBB92E
First NFT owner address (bech32): 
genesis1k0qvnqlugjf543vf6uf3cz98y4zwhwfw5hvdqx
Current NFT ID #106391 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
106391
Accession (UniProt):
Q9HUA4
Name::
D-aminoacyl-tRNA deacylase
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS AERUGINOSA (STRAIN ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1)

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 Q9HUA4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9HUA4|DTD_PSEAE D-aminoacyl-tRNA deacylase OS=Pseudomonas aeruginosa (strain ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1) OX=208964 GN=dtd PE=3 SV=1 MKALLQRVGAARVEVGGEIVGSIDRGLLVLVGVEPEDGERCAAKMLHKLLNYRVFGDDEGKMNRSLLDVQGGLLLVSQFTLAANTRSGLRPSFSSAAPPAQGEAVFEHLVKLAREAYPQVATGRFGADMQVHLVNDGPVTFLLES