C0RJ44 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid53z6ma277crgva2ugykob7zh7my5rcl5f6hrizwbhg3ep5pjowy/metadata.json
IPFS of structure file: 
bafybeieeg7bneouar77iy3w73rn547zjctyxsr2t6dacywdboviqvjt5wm/AF-C0RJ44-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6Ed09D80e98fE15DE51C9E7a8896AbF1f2365C3e
First NFT owner address (bech32): 
genesis1dmgfmq8f3ls4meguneag394t78ervhp7h90qf8
Current NFT ID #454189 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
454189
Accession (UniProt):
C0RJ44
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
BRUCELLA MELITENSIS BIOTYPE 2 (STRAIN ATCC 23457)

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 C0RJ44 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C0RJ44|SYT_BRUMB Threonine--tRNA ligase OS=Brucella melitensis biotype 2 (strain ATCC 23457) OX=546272 GN=thrS PE=3 SV=1 MSNTVSLQFPDGSVREYDASMTGAALAESISKSLAKKAVAYAVDGTVRDLSDPLGASGKVEIITREDPRALELIRHDTAHVLAEAVQELFPGTQVTIGPVIENGFYYDFARNEPFTLDDLPVIEKKMREIIQRNKPFTKEVWSREKAKQVFSDKGESYKVELVDAIPAGQDLKIYYQGDWFDLCRGPHMASTGQIGNSFKLMKVAGAYWRGDANNPMLTRIYGTAFANDNDLQAYLHMLEEAEKRDHRRLGREMDLFHFQEEGPGVVFWHAKGWKMFQNLVSYMRRRLDSHGYQEVNTPQVLDKSLWETSGHWGWYRDNMFKVTVAGDDTDDDRVFALKPMNCPGHVQIFKHGLKSYRDLPIKLAEFGNVHRYEPSGALHGLMRVRGFTQDDAHIFCTEEQMAAECLQINDHILSVYKDFGFEEITIKLSTRPEKRVGSDELWDRAESVMMTVLEQIRQQSNNIKTGILPGEGAFYGPKFEYTLKDAIGREWQCGTTQVDFNLPERFGAFYIGADSEKKQPVMIHRAICGSMERFLGILIENFAGHMPLWFAPVQVVVATITSDADEYAKEAAAKLKAAGLQVVTDLRNEKINYKVREHSLQKVPVILVCGKREAEEKTVNMRRLGSRDQESMTLDEAIARLCEEATPPDLLRLKNAG