Q3A4P3 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigqpueh7aahjwkpn2fszj4hhft3suutygtaid7ggusb4rapdk6kfq/metadata.json
IPFS of structure file: 
bafybeih7tnnqdesh44tdscigk54womgxgbejufsb6zslozabom4yqscniq/AF-Q3A4P3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x53b28510180402947A4334bb5E9B806FD2b6c2C0
First NFT owner address (bech32): 
genesis12weg2yqcqspfg7jrxja4axuqdlftdskq9klawd
Current NFT ID #454708 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
454708
Accession (UniProt):
Q3A4P3
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Syntrophotalea carbinolica (strain DSM 2380 / NBRC 103641 / GraBd1)

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 Q3A4P3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3A4P3|SYT_SYNC1 Threonine--tRNA ligase OS=Syntrophotalea carbinolica (strain DSM 2380 / NBRC 103641 / GraBd1) OX=338963 GN=thrS PE=3 SV=1 MVMIQIELPDGSIKEFSETTTPGDIAAGIGSGLARQAVAARFNDRMVDLCTPITESGRLEIITLNSPQGLEVYRHTAAHLMAHAVKDLYGDRVQVTIGPAVENGFYYDFYCEDHAFSPDDFEKIEKRMQELVKANLPIEREEVSRDSAIALFRELGEHYKVELIEDLDAPTVSLYRQGDFVDLCRGPHLPSTGRIKAFKLTSVAGAYWRGSEKNAMLQRIYATAFPDKKELRTYLNKLEEARKRDHRRIGRELDLFSFSEEAGAGLVIWHPKGALLRTLLEDFERREHLRRGYDIVMGPQILRTDLWKTSGHFDNYRENMYFTDVDGQGYGIKPMNCLAHMLIYKARQRSYRDLPLRYFELGTVHRHEKSGVLHGLLRVRGFTQDDAHIICTPDQLDEEIKRVLEFVRDVMAIFGFEYEIEISTRPEKSIGSDADWERATGALMNALKDLELPHDVNEGDGAFYGPKIDIKLKDALDRRWQCATIQCDFTLPERFDLTYVGKDGEKHRPVMLHRVILGAIERFIGVLIEHYAGNFPLWLAPVQAVVINVTDNQADYAKSVSDALRAAGVRVQCDLRNEKLGFKIREAQVDKIPYMLVVGDTEMSDGTVAPRFRSGKNLEPMSPEDFARFVQEECDQYR