A4SCK4 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihnzcgik4z5altx5xdumwpv5e3dqkdta2durp546jgqxavownz7ny/metadata.json
IPFS of structure file: 
bafybeidt3o45snoh6kws5w54hxz5q35tg7zhyvn4p4ncnwukzvni5njw5y/AF-A4SCK4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xFCd07EE2Dc6A020627FBe36C379d324e4f874651
First NFT owner address (bech32): 
genesis1lng8ackudgpqvflmudkr08fjfe8cw3j3pdd6c0
Current NFT ID #454243 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
454243
Accession (UniProt):
A4SCK4
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Chlorobium phaeovibrioides (strain DSM 265 / 1930)

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 A4SCK4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4SCK4|SYT_CHLPM Threonine--tRNA ligase OS=Chlorobium phaeovibrioides (strain DSM 265 / 1930) OX=290318 GN=thrS PE=3 SV=1 MSQNLDQQVTLTVTLPDGTTKPLPAGSTGMDIALEIGRRLAREAVAIKIDGKAVDLSAPLTADCTAEIITFDSPEGKEIFWHSASHIMAHAIEELFPGSKFGAGPAIEQGFYYDIASEHRFTEEDLRAIEERMLLIAGRDIPIVREEMPRIQAIEYFRTVREDPYKVEILTDTLKETETVSLYHEGGFTDLCSGPHLFSTAALKAVKLFNISASYWRGDQSRESMQRIYGIAFPTEKLLKAHLSALEEAKKRDHRKLGTELELFMLSPEIGSGLPVWLPKGAIIRQELESFLKEEQRRRGYLPVYTPHIGNIDLYKRSGHYPYYSDSQFPPLTYHDEEGKAEQYLLKPMNCPHHHLIYSSKMRSYRDLPVRLAEFGTVYRHEQSGELNGLVRARGFTQDDSHIYCRPDQLVDEICNAIDLTRYVFATLGFTEVETRLSMHDPLNPSKYGGTADVWEQAEKDVREAADRMKINYFIGVGEASFYGPKIDFIVRDALGRKWQLGTVQVDYVMPERFDLSYVGSDGQKHRPIVIHRAPFGSMERFIGVLIEHTAGNFPLWLAPVQAVVLPIAEDVHDYGSEVRDAMHRAGIRVELDVRNEKIGRKIREAELAKIPFMVIVGQKEKEGGSVSLRRHRIGDEGAFSIQEMTEKLLNEIAAKGLTTKPTTNA