C0ZZ26 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiax2i2oxim42lcojl2dugr5vixgyda3spp3pdpterrrl2kuqdlpp4/metadata.json
IPFS of structure file: 
bafybeig6ms63pswozhfq4mlprcteos2pgn7o2itcil3qjp534xri4rtjlq/AF-C0ZZ26-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1D85cf76AA8a024dd37f8dd64B4eD5691Eb91E72
First NFT owner address (bech32): 
genesis1rkzu7a423gpym5ml3htyknk4dy0tj8njawalvj
Current NFT ID #454579 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
454579
Accession (UniProt):
C0ZZ26
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Rhodococcus erythropolis (strain PR4 / NBRC 100887)

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 C0ZZ26 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C0ZZ26|SYT_RHOE4 Threonine--tRNA ligase OS=Rhodococcus erythropolis (strain PR4 / NBRC 100887) OX=234621 GN=thrS PE=3 SV=1 MTSPAPEHSAAPLRVPAGTTAGTAVREAGYPTKGPDVIVVVRDGEGTLKDLSWTPEVDVDVEPVAASTEDGRSVIRHSAAHVLAQAVQKEFPDAKLGIGPPIKDGFYYDFAVDRPFTPEDLAKLEKRMKQIIKGSQRFSRRVVDSIEDARVELADEPFKLELIDDKSGIDDPEIMEVGGNELTIYDNLDPRTGDKIWSDLCRGPHIPTTKHIPAFKLTRSSAAYWRGNQDNADLQRVYGTAWESTEAQDEYLELLAEAERRDHRKLGTELDLFSFPDELGSGLPVFHPKGGIIRTEMENYSRSRHIEAGYEFVNTPHITKGHLYEVSGHLDWYRDGMFPAMHVDEELNEDGTVRKPGQDYYLKPMNCPMHNLIFRARGRSYRELPLRLFEFGSVYRYEKSGVIHGLTRVRGMTQDDAHIYCTREQMRDELTTTLQFVLNLLKDYGLDDFYLELSTKNPDKFVGSDDVWEEATATLAEVGEASGLTLVPDPGGAAFYGPKISVQVKDALGRTWQMSTIQLDFNLPERFELEYTGNDGVKTRPVMIHRALFGSIERFFGVLTEHYAGAFPAWLAPVQVVGIPVAEAFADHLFDVTKKLKAAGVRAEVDFSDDRMQKKIRNHTTQKVPFMLLAGERDVEAGAVSFRFRDGTQINGIPVDDAVRIITEWIGRRENASPTAELVQPSVAQ