Q12NI7 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifgy34nl5of3roajtm5eoroxauyugxs2xfws2uqjhbaziekymfmxa/metadata.json
IPFS of structure file: 
bafybeicfcxz7qo444eb5wj4a67qiomdg5zh75kc2uzbeoazokt5n6tdale/AF-Q12NI7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb3c0C983Fc44934AC589D7131C08a72544EBB92E
First NFT owner address (bech32): 
genesis1k0qvnqlugjf543vf6uf3cz98y4zwhwfw5hvdqx
Current NFT ID #454621 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
454621
Accession (UniProt):
Q12NI7
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
SHEWANELLA DENITRIFICANS (STRAIN OS217 / ATCC BAA-1090 / DSM 15013)

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 Q12NI7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q12NI7|SYT_SHEDO Threonine--tRNA ligase OS=Shewanella denitrificans (strain OS217 / ATCC BAA-1090 / DSM 15013) OX=318161 GN=thrS PE=3 SV=1 MPIITLPDGSKREFVNPVSTLDVAADIGPGLAKACIAGRVNGELKDACDLISTDSDLSIITAKDQEGVEILRHSCAHLLGHAVKQMWPEAKMAIGPVIDNGFYYDIDLDHKLTAEDIEALEKRMMDLAKTNYDVVKRVVSWHEARDAFSERGEVYKIAILDENISKDATPALYHHEEYTDMCRGPHVPNMRFCQNFKLMSVAGAYWRGNSDNKMLQRVYGTAWADKKALKTHLTRLEEAAKRDHRKIGKQLDLYHMQEEAPGMVFWHNDGWSLFLELEKFIRQKLGQYTYQEVKGPLMMDRALWERSGHWDKYSDAMFTTNSENREYAIKPMNCPGHVQIFNQGLKSYRDLPLRMAEFGCCHRNEPSGSLHGLMRVRGFTQDDAHIFCTDDQVQKEVSDCIQMVYDTYATFGFENIVVKLSTRPEKRIGDDDMWDRAEEALKQALIANEIEFEILPGEGAFYGPKIEFTLHDCLDRAWQCGTVQLDYALPSRLGATYVAEDNTRQTPVMIHRAILGSLERFLGILIEEYAGKFPTWLAPMQVVVMNITDKQADYVQDVVKIFKEQGIRASFDLRNEKIGFKIREHTLRRVPYLLVVGDQEMENKEVAVRTRDGIDLGKMSIEDFAKKIHKDISSRSLKLLEE