Q4FSF4 AF NFT

Aspartate--tRNA(Asp/Asn) ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicuulhtpmtfyetyacndtrozw2so25g4qn2hh2jl4n2cuw7ddnz7ra/metadata.json
IPFS of structure file: 
bafybeihgrdjwwradl7eo6afl6hfasdcenm767kauza3wa5qgqttb6lff5i/AF-Q4FSF4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x40B9C9d5F084D34d026E9d5Dd10501AcdF6d6152
First NFT owner address (bech32): 
genesis1gzuun40ssnf56qnwn4wazpgp4n0k6c2jdg88yn
Current NFT ID #444718 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
444718
Accession (UniProt):
Q4FSF4
Name::
Aspartate--tRNA(Asp/Asn) ligase
Experimental Method:
Predicted structure
Sequence source:
Psychrobacter arcticus (strain DSM 17307 / VKM B-2377 / 273-4)

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 Q4FSF4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4FSF4|SYDND_PSYA2 Aspartate--tRNA(Asp/Asn) ligase OS=Psychrobacter arcticus (strain DSM 17307 / VKM B-2377 / 273-4) OX=259536 GN=aspS PE=3 SV=1 MTHSEYRDEYCGAVTESLIEQTISVVGWVHRRRDHGGVIFLDMRDRAGILQVVVDPDTPEAFATADAVRPEYVLKITGRVRRRYEGTENANMTSGHIELLAKEIEVLAKSETPPFPLNDEKSTVSEDLRLKYRYLDMRRPQMQDRMVFRAKATSAIRRYLDDHGFLDVETPILTRATPEGARDYLVPSRTRPGNFFALPQSPQLFKQLLMVAGFDRYYQIAKCFRDEDLRADRQPEFTQVDIETSFLNEEEIMNINEGLIKHVFKTMMDVEFEKFPRMTYAEAMRDYASDKPDLRIPLKLIDVADLMKDVDFKVFAGPANDPKGRVAALRIPGGASLSRKQIDAYTKFVGIYGARGLAYIKVNDASNINNGVDKESGLQSPIIKNMTDDVLVSLIERTGAESNDIIFFGADKASVVNDAIGALRQKIGLDLEMTTCEWAPLWVTDFPMFEETEDGRWTSMHHPFTKPKGSVEELKTNPESALSIAYDMVLNGTEVGGGSLRINTLEMQTAVFEALGIDDQEAEDKFGFLLDALKFGAPPHGGLAFGLDRLIMLMVGASSIRDVIAFPKTKTAECPLTQAPAEVNTKQLRELGIRVREKVQADTSKPAE