Q6D4G8 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibw437ctysop4pgqeubndgvhknu66d5d7al2jdoarj4cmsgha6eji/metadata.json
IPFS of structure file: 
bafybeidl42dtdk3fcaooigutd4azxgnwmdelhros4c4ylnyyzv6e2uubte/AF-Q6D4G8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD6c8c70034505E2afFB97C831d798cF5AA67e537
First NFT owner address (bech32): 
genesis16myvwqp52p0z4lae0jp367vv7k4x0efh5qhxpp
Current NFT ID #454506 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
454506
Accession (UniProt):
Q6D4G8
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
PECTOBACTERIUM ATROSEPTICUM (STRAIN SCRI 1043 / ATCC BAA-672)

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 Q6D4G8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6D4G8|SYT_PECAS Threonine--tRNA ligase OS=Pectobacterium atrosepticum (strain SCRI 1043 / ATCC BAA-672) OX=218491 GN=thrS PE=3 SV=1 MPVITLPDGSQRHYDHAVSPLDVALDIGPGLAKACIAGRVDGELIDASDKIDTDAQLAIITAKDDAGLEIIRHSCAHLLGHAIKQLWPDTKMAIGPVIDNGFYYDVDIDRTLTQEDIELLEKRMHELADTDYDVIKKKVSWQEARDAFAARGETYKIAILDENISHDDRPGLYHHEEYIDMCRGPHVPNMRFCHHFKLQKTSGAYWRGDSKNKMLQRIYGTAWADKKQLASYLQRLEEASKRDHRKIGKQLDLYHMQEEAPGMVFWHNDGWTIFRELEAFVRMKLKSYQYQEVKGPFMMDRVMWEKTGHWDNYKEAMFTTSSENREYCIKPMNCPGHVQIFNQGLKSYRDLPLRMAEFGSCHRNEPSGSLHGLMRVRGFTQDDAHIFCTEEQVRDEVNSCIKMVYDMYSTFGFEKIVVKLSTRPEKRIGSDEMWDRAEADLAAALTENNIEFAYQPGEGAFYGPKIEFTLHDCLDRAWQCGTVQLDFSLPGRLSASYVGESNERQVPVMIHRAILGSMERFIGILTEEFAGFFPTWLAPVQVVIINITDSQSDYVNELTQKLQEAGIRVKADLRNEKIGFKIREHTLRRVPYMLVCGDKEVEAGKVAVRTRRGKDLGSLDVSEVISKLQQEIRSRSLHQLEV