A9A078 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigo7kxgljqqfauucwqiqbgeyxir3uo7mzxf7yupyrmrwsn4vy5hqu/metadata.json
IPFS of structure file: 
bafybeieijqqukai6ipftycmcsqji7i4bu3jnfzi4d2odek6jzwp67dw3ay/AF-A9A078-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf84a1a54d1fa266310201FB7c6d2D02d2C25C526
First NFT owner address (bech32): 
genesis1lp9p54x3lgnxxypqr7mud5ks95kzt3fxtfwqx2
Current NFT ID #454295 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
454295
Accession (UniProt):
A9A078
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Desulfococcus oleovorans (strain DSM 6200 / JCM 39069 / Hxd3)

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 A9A078 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9A078|SYT_DESOH Threonine--tRNA ligase OS=Desulfococcus oleovorans (strain DSM 6200 / JCM 39069 / Hxd3) OX=96561 GN=thrS PE=3 SV=1 MITITLPDSSTKTFDGPVTGEQIAKSISEGLWRECVAVEVDGAAMDLSEPIATDAAVRLITTRDPEGLHIMRHSAAHVMAEAVQRVFPDAELTIGPVVEDGFYYDIDMEPVSEEIFSRVEAEIKKIVSAKIPFVRKEVDKAEALDRYRDQPYKTEILNEIEDDTVSLYTNGDFTDLCRGPHVPHTGFVRAVKLTKISGAYWRGDQNREQLQRLYGTAFFSKKELDAYLTLIEEAKKRDHRKLGAELDLFSFHEEAAGMPFFHPNGMKLWNALLDYWRLEHRAAGYVEVKTPVMLDRALWEKSGHWENYRENMYVSVIDDNQYAIKPMNCPGGMLLYKEKRYSYRDLPLRVAEIGLVHRHELSGVLSGLFRVRAFHQDDAHIFMTPDQIEQEIFGVLKLVETIYSTFGLGFHLELSTRPAKSIGTDEQWVKATAGLRAALDAYGKGYAVNEGDGAFYGPKIDVHIKDALGRTWQCGTIQLDMSLPERFDLSYIDAGSEKQRPVMIHRVIYGSIERFLGILIEHFAGKFPLWLAPTQAVLLPLNDDMIPYAREVRQEFEQAGIRTEIDDRSESLNKKVRQAQIDKIPLIITLGGKEKEARTLSVRTLDGQVRHGVSHEAFFAVAKEHIAKRLQTPVVFA