A9M582 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidy7wed5tmi6e6yvszapsls7jlnk6jrremnt7fa3q77ku2rjhusxm/metadata.json
IPFS of structure file: 
bafybeiad2xs5qkrdwintx7or7oo3xjkg7r2xypkfzxobgjju5uz4yhnbku/AF-A9M582-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb4D2d9c96b0D792d0b77e7147D724cc1F801ae58
First NFT owner address (bech32): 
genesis1knfdnjttp4uj6zmhuu286ujvc8uqrtjce36hs0
Current NFT ID #454188 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
454188
Accession (UniProt):
A9M582
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
BRUCELLA CANIS (STRAIN ATCC 23365 / NCTC 10854)

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 A9M582 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9M582|SYT_BRUC2 Threonine--tRNA ligase OS=Brucella canis (strain ATCC 23365 / NCTC 10854) OX=483179 GN=thrS PE=3 SV=1 MSNTVSLQFPDGSVREYDASMTGAALAESISKSLAKKAVAYAVDGTVRDLSDPLGASGKVEIITREDPRALELIRHDTAHVLAEAVQELFPGTQVTIGPVIENGFYYDFARNEPFTLDDLPVIEKKMREIIQRNKPFTKEVWSREKAKQVFSDKGESYKVELVDAIPAGQDLKIYYQGDWFDLCRGPHMASTGQIGNSFKLMKVAGAYWRGDANNPMLTRIYGTAFANDNDLQAYLHMLEEAEKRDHRRLGREMDLFHFQEEGPGVVFWHAKGWKMFQNLVSYMRRRLDSHGYQEVNAPQVLDKSLWETSGHWGWYRDNMFKVTVAGDDTDDDRVFALKPMNCPGHVQIFKHGLKSYRDLPIKLAEFGNVHRYEPSGALHGLMRVRGFTQDDAHIFCTEEQMAAECLRINDLILSVYKDFGFEEITIKLSTRPEKRVGSDELWDRAESVMMTVLEQIRQQSNNIKTGILPGEGAFYGPKFEYTLKDAIGREWQCGTTQVDFNLPERFGAFYIGADSEKKQPVMIHRAICGSMERFLGILIENFAGHMPLWFAPVQVVVATITSDADEYAKEAAAKLKAAGLQVVTDLRNEKINYKVREHSLQKVPVILVCGKREAEEKTVNMRRLGSRDQESMTLDEAIARLCEEATPPDLLRLKNAG