Q66CG7 AF NFT

Asparagine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidgac2wazpri75dwh4x2p7aznr3bskkqbquv4rls32fji65laklu4/metadata.json
IPFS of structure file: 
bafybeiclhfs5di73nrap52qdardhwnhetojbau3z2xivv7njjlpbby4woa/AF-Q66CG7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc5ddbFd578Ee8bf0Bb22bF47F38D91D88bE1AdDf
First NFT owner address (bech32): 
genesis1chwml4tca69lpwezharl8rv3mz97rtwlgklhem
Current NFT ID #451402 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
451402
Accession (UniProt):
Q66CG7
Name::
Asparagine--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 Q66CG7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q66CG7|SYN_YERPS Asparagine--tRNA ligase OS=Yersinia pseudotuberculosis serotype I (strain IP32953) OX=273123 GN=asnS PE=3 SV=1 MSVVPVVDVLQGRAAVGSEVTVRGWVRTRRDSKAGISFVAVYDGSCFDPLQAVVNNTLPNYQDEVLHLTTGCSVEVTGTVVASPGEGQSFEIQATAINVVGWVDDPDTYPMAAKRHSIEYLREVAHLRPRTNLIGAVARVRHTLAQAIHRFFDENGYFWVSTPLITASDTEGAGEMFRVSTLDLENLPRTDTGAVDFSEDFFGKEAFLTVSGQLNGETYACALSKVYTFGPTFRAENSNTSRHLAEFWMVEPEVAFASLDDVAGLAEKMLKYVFQAVLNERADDMKFFAERVDKDAVDRLQRFVTSDFAQVDYTDAIEILLASGQKFENDVSWGIDLSSEHERYLAEKHFKAPVVVKNYPKDIKAFYMRMNEDGKTVAAMDVLAPGIGEIIGGSQREERLDVLDARLAEMGLNKEDYWWYRDLRRYGTVPHSGFGLGFERLISYVTGVQNVRDVIPFPRTPRNASF