B2U397 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifder2vrmeh7rysmwrn527otz4wk2x4xkwabncovyo6f6fanflnbq/metadata.json
IPFS of structure file: 
bafybeiftwyueiwawfepsjcxn6d2kee5btt5cvj5tcqi5v4taufgyv5wpvy/AF-B2U397-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xdF2b063d4B94F3f46D117B1af99A846bD4a59284
First NFT owner address (bech32): 
genesis1mu4sv02tjnelgmg30vd0nx5yd022ty5y7akg2m
Current NFT ID #454635 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
454635
Accession (UniProt):
B2U397
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Shigella boydii serotype 18 (strain CDC 3083-94 / BS512)

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 B2U397 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B2U397|SYT_SHIB3 Threonine--tRNA ligase OS=Shigella boydii serotype 18 (strain CDC 3083-94 / BS512) OX=344609 GN=thrS PE=3 SV=1 MPVITLPDGSQRHYDHAVSPMDVALDIGPGLAKACIAGRVNGELVDACDLIENDAQLSIITAKDEEGLEIIRHSCAHLLGHAIKQLWPHTKMAIGPVIDNGFYYDVDLDRTLTQEDVEALEKRMHELAEKNYDVIKKKVSWHAARETFANRGESYKVSILDENIAHDDKPGLYFHEEYVDMCRGPHVPNMRFCHHFKLMKTAGAYWRGDSNNKMLQRIYGTAWADKKALNAYLQRLEEAAKRDHRKIGKQLDLYHMQEEAPGMVFWHNDGWTIFRELEVFVRSKLKEYQYQEVKGPFMMDRVLWEKTGHWDNYKDAMFTTSSENREYCIKPMNCPGHVQIFNQGLKSYRDLPLRMAEFGSCHRNEPSGSLHGLMRVRGFTQDDAHIFCTEEQIRDEVNGCIRLVYDMYSTFGFEKIVVKLSTRPEKRIGSDEMWDRAEADLAVALEENNIPFEYQLGEGAFYGPKIEFTLYDCLDRAWQCGTVQLDFSLPSRLSASYVGEDNERKVPVMIHRAILGSMERFIGILTEEFAGFFPTWLAPVQVVIMNITDSQSEYVNELTQKLSNAGIRVKADLRNEKIGFKIREHTLRRVPYMLVCGDKEVESGKVAVRTRRGKDLGSMDVNEVIEKLQQEIRSRSLKQLEE