Q83C10 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibyumflqelxp4gfll3jvmj7e7fvtfejcqrn4tvccdgmwjulvig3du/metadata.json
IPFS of structure file: 
bafybeiehsnq6wm3c7eprhgci57hlfov5p2vdkpbhk5ddo62ht5tuwqsv3a/AF-Q83C10-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7c75F0f7d6d136A2b8D4C6C6e9b3D8a697949DF1
First NFT owner address (bech32): 
genesis1036lpa7k6ym29wx5cmrwnv7c56tef803cmwzax
Current NFT ID #454278 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
454278
Accession (UniProt):
Q83C10
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
COXIELLA BURNETII (STRAIN RSA 493 / NINE MILE PHASE I)

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 Q83C10 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q83C10|SYT_COXBU Threonine--tRNA ligase OS=Coxiella burnetii (strain RSA 493 / Nine Mile phase I) OX=227377 GN=thrS PE=3 SV=1 MPTIQLPDGSVKQFSKPVSVQAVAESIGTSLAKPALAGKIDDHLVDVSFIIDKDVSLRIITEKDPEGLEVIRHSAAHLLAHAVKELFPKAEVTIGPVVEDGFYYDFAFERSFTPEDLEKIEEKMRSLAKADLAVERRVLSRDEALTLFKKMGERYKVEIIRDIPKEEILTAYQQGDFIDLCRGPHVPRTGMLKAFKLTKLAGAYWRGDSNNEMLQRIYGTAWADTKALKAYLYRLEEAEKRDHRLLAKKMDLFHFQPESPGNVFWHPNGWSIILQMREYIRHITHKYGYQEVHTPQLIDASLWDKSGHLEKFGDDIFSLPLEPQQYVIKPMSCPAHVQIFNQGVKSYRDLPLRYAEFGACHRNEPSGTLHGLMRLRGFVQDDAHIFCTEDQIQSEVSAFIDQLHEVYADFGFTEVIHKLSTRPEKRVGSDEVWTKAEQALAEALNRKGVEWDILPGEGAFYGPKIEFSLRDCLGRIWQCGTVQVDFSVPERLGAHYIAEDGSKKPPVMIHRAILGSFERFLGILLEESAGKLPLWLAPVQVVVMNITDRQADYVGQTVENLQNLGIRAHSDLRNEKIGFKIREHTIARVPYLVVIGDREVADKTLSVRALEDEASTTITLEEFARQLKAEISQRSRKSPAPSPLFPVGGES